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Master TikTok Ads: From 0 to 10k profits in 30 Days (DM)
Published 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 35h 26m | Size: 24 GB

(Digital Marketing) Unlock the Secrets of TikTok Advertising: Boost Your Profits Fast with Proven Strategies



What you'll learn
Create and Launch Effective TikTok Ad Campaigns: Learn how to design, set up, and launch TikTok ads that capture attention and drive results.
Optimize Ad Performance for Maximum Impact: Master techniques to analyze and optimize TikTok ads for better engagement, reach, and conversions.
Implement Proven Strategies for Rapid Growth: Discover strategies to accelerate progress and potentially make up to $10k in profit within 30 days.
Troubleshoot and Improve Campaigns: Gain the skills to identify and fix common issues in TikTok ad campaigns, ensuring continuous improvement and success.
Insights from industry experts through our exclusive TikTok Ads Rapid Profit Superclass.


Requirements
No specific prerequisites are required. This course is designed for beginners and advanced learners alike. All you need is a willingness to learn and an active TikTok account.


Description
Unlock the Full Potential of TikTok Ads and Skyrocket Your Business Profits!Are you a business owner, marketer, or content creator looking to tap into the explosive growth of TikTok? This comprehensive course is your gateway to mastering TikTok advertising and taking your digital marketing efforts to new heights. Whether you're aiming to drive significant growth, increase revenue, or build a robust online presence, this course will equip you with the tools and strategies you need.What You ll Learn:TikTok Ads Fundamentals: Gain a deep understanding of TikTok's platform, unique features, and why it's a game-changer for digital marketing.Ad Creation: Learn how to create captivating ads that resonate with TikTok s diverse and engaged audience, driving higher conversion rates and sales.Targeting Strategies: Master advanced audience targeting techniques to ensure your ads reach the most qualified leads, boosting your digital marketing ROI.Budgeting & Bidding: Discover effective budgeting and bidding strategies to maximize your ad spend and achieve the best possible return on investment.Analytics & Optimization: Dive into data-driven insights to track performance, optimize your campaigns, and continuously improve your results.Case Studies & Best Practices: Explore real-world case studies and adopt proven strategies that have led to substantial profit increases for businesses like yours.Why Choose This Course?Up-to-Date Content: Stay on the cutting edge with the latest trends and updates in TikTok advertising and digital marketing.Hands-On Projects: Apply your knowledge with practical exercises and real-world examples that drive tangible results.Expert Guidance: Learn from a seasoned marketer with a proven track record of using TikTok ads to elevate profits and grow businesses.Lifetime Access: Get unlimited access to all course materials, including future updates, so you can stay ahead in the fast-paced world of digital marketing.If you're ready to leverage TikTok ads to raise your profits and expand your business through cutting-edge digital marketing, this course is for you. Enroll now and start mastering TikTok ads today!

Who this course is for
This course is ideal for: Aspiring Marketers: Individuals looking to break into digital marketing and harness the power of TikTok ads. Small Business Owners: Entrepreneurs seeking to drive growth and reach new customers through effective TikTok advertising. Social Media Enthusiasts: People passionate about social media who want to leverage TikTok for business success. Beginner Advertisers: Those new to online advertising and eager to learn proven strategies for generating significant results. If you re ready to transform your approach to TikTok ads and achieve substantial success, this course will provide the tools and knowledge you need.


Homepage
Code:
https://www.udemy.com/course/master-tiktok-ads-from-0-to-10k-profits-in-30-days-dm/

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Power BI - Business Intelligence for Beginners to Advance
Last updated 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 35h 22m | Size: 21.4 GB

The Complete and Comprehensive Course on Power BI : step by step with hands on demos with Power BI



What you'll learn
Learn to use the easiest Business Intelligence tool to create stunning reports and dashboards.
learn how you can visualize that data in a meaningful way to revile insights into your business like never before.
learn how, with Power BI, to connect to multiple sources of data like SQL Server, Excel, CSV, JSON, XML, Web and SQL Analysis Services etc....
learn how to, with the power of basic DAX, create powerful calculations and comparisons across multiples tables of data.
Learn how to create advanced DAX measures and calculated columns for complex calculations.
Learn Dataflows (new CDM base, Azure Lake gen2), what it is and how to use and configure databases in it.
Learn how to use charts using visuals like column, line, pie, combo, Scatter, Treemap, Funnel, Gauges and KPIs to name a few.
Easily clean the messy data, model your data as per your requirement and format your report to make it look beautiful and professional.
Learn to create powerful tables and matrix of reporting data.
Learn how to use Text Boxes, Shapes, Images, maps, and other visuals.
Learn how to turn data into insight and data into interactive visualizations to tell a story.
Learn how to use advanced features like Report page tooltips and Bookmarks.
Learn to use Custom Visualizations and Themes in Power BI.
Learn and develop data modeling skills.
Learn how to automate the cleansing of data.
Learn how to collaboration and sharing of content on Microsoft's Powerful platform.
This hands on course will prepare you to start your data analytics career.
Learn Dashboard-in-a-day at your own pace at home or at your office.
Learn Power BI Best Practices, Tip and Tricks.


Requirements
Absolutely no experience is required. We will start from the basics and gradually build up your knowledge with clear and concise step by step instructions
No prior knowledge needed, covers Power BI end to end, while providing a wealth of practical tips for those that already know Power BI.
Power BI requires that you use a work or college email address to sign up. You can't sign up using email addresses provided by consumer email services or telecommunication providers. This includes outlook, hotmail, gmail, yahoo and others.


Description
Learn to create stunning Dashboards and Reports using Microsoft's free Business Intelligence / Analytics tool, Power BI.Do you want to build professional-quality Business Intelligence Reports from the ground up ? Do you want to blend and transform raw data into beautiful Interactive Dashboards ? Do you want to learn design and implement the same B.I. tools used by professional analysts and data scientists ?Do you want to understand the Business Intelligence workflow from end-to-end.Then Microsoft Power BI is the right tool for you and this comprehensive course will teach you everything you need to know to use Power BI.This hands on (Beginner to Intermediate) course willprepare you to start your data analytics career andalso will prepare you toSuccessfully implement Power BI in your organization.Absolutely no experience is required. 25+ hours ofHD videos of building 18interactiveBusiness IntelligenceReports and Dashboards (real-world examples)from scratch to finish. Files for Start and Finished projects also included to challenge you so you can learn by immediately applying what you're learning. You will have gained theknowledgeandconfidenceto apply these same concepts to real-word to solve the Business problems or Business requirements.By the time you complete this course, You'll be a highly proficient Power BI user. You'll be fully prepared to collect, clean, model and present data for any purpose. You will be using your skills as a Business Intelligence Professional to extract knowledge from data so you can analyze and visualize complex Business Problems/Requirements with ease.Why should you consider a career as a Business Data Analyst?Salary. A Business Data Analyst is a well-paid careerStable Career. As most corporations gathering more and more data. There will never be shortage of Jobs for Business Data Analyst.Advancement in Career : Since you will be building different reports for different departments. You will never be bored and always be valued. Which will bring you more opportunities in your career. Business Data Analyst get very visibility in corporations. Whole management depends on them.#microsoft #powerbi #data #business #intelligence #analysisCourse Curriculum:Section 1: Business intelligence -Introduction to Power BIBusiness Analysis - Course IntroductionThank you for enrolling - Must watchDashboard-in-a-day & Power BI Best Practices IntroductionPower Bi Introduction - 0Power Bi Introduction - 1Power Bi Introduction - 2Why Microsoft Power BIPower BI FamilyPower BI DesktopPower BI Service 1Power BI Service 2Descriptive-Predictive-Prescriptive AnalyticsIT Challenges 0IT Challenges 1How to take the quizzesSection 2: Data Analysis and Business Intelligence - Collect , Injest and Import DataDownload Data files firstImport data from CSV filesImport data from Excel filesImport data from Web 1Import data from Web 2Import Real-time Streaming DataDownload and Install SQL Server ExpressDownload and Install Sample DatabasesImport data from SQL ServerImport data from OData feed REST-APIImport Data from FolderDataflows - IntroductionDataflows - Create Gateway from ScratchDataflows - Create Entities from CSV fileDataflows - Create Entities Using SQL ServerSection 3: Prep, Clean and Shape DataDownload resources for this section.Remove RowsRemove ColumnsMake first row as headersHow to create calculate columnsHow to remove duplicates, Unpivot columns and split columnsChange Data type, Replace Values and Rearrange the columnsAppend QueriesMerge QueriesSection 4: Power BI VisualsDownload resources for this section.Visuals IntroVisuals-Bar ChartsVisuals-Line ChartsVisuals-Pie ChartStacked bar ChartClustered Column ChartVisuals-Area Chart and Analytics Tab Explained-0Visuals-Area Chart and Analytics Tab Explained-1Visuals-Combo ChartVisuals-Scatter ChartVisuals-Treemap ChartVisuals-funnel ChartVisuals-Card and Multi-Row CardVisuals-Gauge CardVisuals-KPIsVisuals-MatrixVisuals-TableVisuals-Text boxes - Shapes - ImagesVisuals-SlicersVisuals-MapsCustom Visuals - Word CloudVisualization interactionsSection : AI Visuals - ChatGPT and Microsoft CoPilot AI Visuals - ChatGPT and Microsoft CoPilot (2min)Decomposition Tree Visual (15 min)Key Influencers Visual (16 min)Smart Narrative (12 min)Q&A Visual (17 min)Quick Measures with CoPilot (16 min)Column from Examples (15 min)New Calculation - Model Tab (25 min)Field Parameters (7 min)Bravo Tool (24 min)ChatGPT - Power BI CoPilot DAX Example (17 min)ChatGPT - Power BI CoPilot M Code Example (13 min)Section 5: Data ModelingOur First Report-0Our First Report-1Our First Report-2Our First Report-3Publishing and Sharing your first reportTheme Download fileModeling Basics-0Modeling Basics-1Modeling Basics-2Modeling and Relationships-0Modeling and Relationships-1Other ways to create RelationshipNormalization - Denormalization-0Normalization - Denormalization-1OLTP vs OLAPStar Schema vs Snowflake Schema-0Star Schema vs Snowflake Schema-1Section 6: Introduction to DAXDAX101 - Importing Data for Dax LearningDAX101 - Resources for Dax LearningDAX101 - What is DaxDAX101 - Dax Data TypesDAX101 - Dax Operators and SyntaxDAX101 - M vs DaxDAX101 - Create a ColumnDAX101 - Rules to Create MeasuresDAX101 - Calculated Columns vs Calculated Measures-0DAX101 - Calculated Columns vs Calculated Measures-1DAX101 - Sum()DAX101 - AVERAGE()-MIN()-MAX()DAX101 - SUMX()DAX101 - DIVIDE()DAX101 - COUNT()-COUNTROWS()DAX101 - CALCULATE()-0DAX101 - CALCULATE()-1DAX101 - FILTER()DAX101 - ALL()DAX101 - Time Intelligence - Create Date Table in M (important)DAX101 - Time Intelligence - Create Date Table in DAX-0DAX101 - Time Intelligence - Create Date Table in DAX-1DAX101 - Time Intelligence - PREVIOUSMONTH()DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()DAX101 - Time Intelligence - TOTALYTD()DAX101 - Display Last Refresh DateDAX101 - Time Intelligence - DATEADD()DAX101 - Quick MeasuresSection 7: Hands-on Real-world ProjectsDelicious PizzaAmerican BankFinancial ReportProductivity in 2017Personality Tough Sport by SkillNatural DisastersTerrorism in WorldProcurement-spend AnalysisProducts AnalysisRegional AnalysisIT Tickets AnalysisHuman Resources 1Human Resources 2Human Resources 3Financial Data ReportSales AnalysisBank ReportSection 8: Personal - Enterprise GatewayOn-Premises GatewayPersonal vs Enterprise GatewayInstall and Configure Personal GatewayInstall and Configure Enterprise GatewayManage SQL Server Data Source thru Enterprise GatewaySection 9: Power BI Service and DashboardsPowerBI ReportsPowerBI WorkspacesPowerBI DatasetsWhat are DashboardsHow to create Workspace and Publish ReportCreate dashboards 6 different ways-0Create dashboards 6 different ways-1Favorite dashboards, reports, and apps in Power BISubscribe to a Report or DashboardRename Workspace or Report or DashboardDisplay Reports or Dashboards in Full screen modeDelete Reports or DashboardsDashboard MenusQuick InsightsSetting up Alerts on CardsQ-A in Power BIAnalyze in ExcelFile and View OptionsPrinting Dashboard and ReportsRow level securityAccess Reports Dashboards using Mobile DevicesReport page tooltip-0Report page tooltip-1Filter- Page-Report-Visualization level-0Filter- Page-Report-Visualization level-1Section 10: Sharing and CollaborationSharing and CollaborationSharing DashboardSharing WorkspacesSharing AppPublish To WebSection 11: Bonus LecturesDownload MaterialsPower BI : Best Practices, Tips and Tricks 0Power BI : Best Practices, Tips and Tricks 1Power BI : Best Practices, Tips and Tricks 2Power BI : Best Practices, Tips and Tricks 3Power BI : Best Practices, Tips and Tricks 4Power BI : Best Practices, Tips and Tricks 5Dashboard-in-a-day : Download Material linkDashboard-in-a-day : IntroductionDashboard-in-a-day : Accessing DataDashboard-in-a-day : Data Preparation 0Dashboard-in-a-day : Data Preparation 1Dashboard-in-a-day : Data modeling and Exploration 0Dashboard-in-a-day : Data modeling and Exploration 1Dashboard-in-a-day : Data modeling and Exploration 2Dashboard-in-a-day : Data modeling and Exploration 3Dashboard-in-a-day : Data modeling and Exploration 4Dashboard-in-a-day : Data Visualizations 0Dashboard-in-a-day : Data Visualizations 1Dashboard-in-a-day : Publishing ReportDashboard-in-a-day : Creating Dashboards 0Dashboard-in-a-day : Creating Dashboards 1Dashboard-in-a-day : 6 ways to create Dashboards 0Dashboard-in-a-day : 6 ways to create Dashboards 1

Who this course is for
Anyone looking to get a job and prepare to start data analytics career.
Entrepreneurs/CEO/Founders looking to master the Data Analysis process.
Students learning in the field of Data.
Data scientists.
Newbies who are looking to enhance their skill sets in the field of Business Analysis.
Business Analyst and aspiring Business Analyst.
Business Analyst in charge of automation efforts
Enthusiastic quality professionals who are NEW to the Business Analysis and want to take their skills to the next level.
Business Analyst who want to advance their skill set.
Anyone wanting to transition into Business Analyst.


Homepage
Code:
https://www.udemy.com/course/business-data-analysis-using-microsoft-power-bi/

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Blender 4: The Modular and Kitbash Environment Guide
Published 8/2024
Created by 3D Tudor
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 178 Lectures ( 34h 22m ) | Size: 32.8 GB


[center]
Dive into the world of 3D modeling and environment creation. Learn how to create modular & kitbash city packs

[/center]


[b]What you'll learn
:
[/b]
Master the Art of Grey Boxing: Learn to efficiently plan and structure 3D environments using grey boxing techniques.
Lighting and Ambient Occlusion Setup: Set up basic lighting and ambient occlusion to add depth and realism to your 3D scenes.
Comprehensive Reference Library: Build and utilize a detailed reference library to guide your modeling process.
Modular Part Creation: Create over 50 modular parts, including roofs, supports, and water features.
Advanced Geometry Nodes: Understand and apply advanced geometry nodes for efficient procedural modeling.
Jungle and Vegetation Crafting: Craft realistic jungles and vegetation using weight painting and particle systems.
Dynamic Lighting Setups: Learn to create dynamic day and night lighting setups, including sun, moon, and star environments.
Shader Creation and Animation: Become proficient in shader creation, mastering both basic setups and complex animations using drivers and colour ramps.
UV Unwrapping Techniques: Master UV unwrapping, from simple models to complex structures.
Polygon Optimization: Optimize polygon counts and performance for large, detailed scenes.
Asset Management: Organize assets effectively using Blender s asset manager and collections.
High-Quality Rendering: Render high-quality images using both Eevee and Cycles render engines.
Professional Portfolio Renders: Create professional portfolio renders with advanced compositing techniques in Blender.
Effective Scene Composition: Develop storytelling skills through effective scene composition and design.
Camera Techniques and Presentations: Master camera techniques, including turntables.

Requirements:
To own a computer (Microsoft, Linux or Mac)
To have downloaded Blender
The course is designed for all levels, so no previous experience in Blender or 3D modelling is necessary.
A thirst to learn and excitement about 3D modelling, game art, and lighting to take your portfolio to the next level

Description:
Unlock Your Creative Potential with Blender 4: The Modular and Kitbash Environment Guide !Dive deep into the world of 3D modeling and environment creation with our ambitious course, Blender 4: The Modular and Kitbash Environment Guide .Whether you're just starting or looking to elevate your skills, this course is designed to take you from basic modeling to professional-level environment design in Blender.Are you ready to master the art of 3D environment creation?This summer, we're launching a new course that will take you deep into the heart of an Aztec temple, surrounded by the lush and untamed beauty of an ancient world. Blender 4: The Modular and Kitbash Environment Guide unlocks the full potential of Blender s powerful toolkit. Whether you're looking to create stunning 3D environments for games, films, or your portfolio, this course is your gateway to mastering professional-level modeling.We're not just talking about any old environment here. Imagine intricate Aztec architecture, with sprawling terraces and grand staircases, all rendered in exquisite detail.Now, what if you could create this yourself?In our upcoming course, you'll learn to harness the power of Blender s Geometry Nodes to breathe life into this scene with rich foliage and dynamic environments. Blender 4: The Modular and Kitbash Environment Guide is here to equip you with the tools and techniques needed to create expansive, dynamic environments. This comprehensive course will guide you step-by-step, from the fundamentals of grey boxing to advanced geometry nodes and shader creation.Top 6 Points about Blender 4: The Modular and Kitbash Environment Guide :Master Grey Boxing: Learn to efficiently plan and structure 3D environments with grey boxing techniques, ensuring your scenes are well-organized and functional from the start.Comprehensive Resource Pack: Supercharge your creativity with nearly 100 high-quality assets, including trees, vines, foliage, terrain plants, custom shaders, and geometry nodes everything you need to streamline your workflow.Create 50+ Modular Parts: Design a wide variety of modular elements, from roofs to water features, enabling you to kitbash intricate Aztec temples and sprawling towns.Advanced Geometry Nodes: Unlock the power of geometry nodes for efficient procedural modeling, drastically speeding up your project creation.Professional-Grade Lighting: Master dynamic day and night lighting setups, including sun, moon, and star environments, to elevate the realism of your scenes.Advanced Compositing Techniques: Take your renders to the next level with Blender s compositor, integrating passes like ambient occlusion, gloss, and colour balance for professional-quality results.With over 50 modular parts, advanced geometry nodes, and a massive resource pack included, you'll have everything you need to build stunning 3D worlds!Course Highlights Blender 4: The Modular and Kitbash Environment Guide will take you on a spellbinding exploration of an Aztec temple, enshrouded in the mystical glow of the moonlight and secluded by the dense foliage of an untouched jungle.Each element is meticulously placed to tell a story of ancient grandeur and forgotten worlds.Your objective for this project is to design and model a large-scale, detailed 3D environment. You will start from the ground up, building, assembling, and bringing to life the modular assets and kitbash techniques taught in the course.Blender Basics:Introduction to Blender s interface and essential tools.Familiarize yourself with the extensive resource pack, including human reference models, material shaders, and custom geometry nodes.As you venture closer, the towering temple rises majestically against a backdrop of starry skies, its ancient stones casting long shadows over intricately carved staircases that lead to forgotten sanctuaries.Grey Boxing and Scene Setup:Master grey boxing techniques to block out scenes and set up basic lighting.Use ambient occlusion materials to add depth to your scenes from the start.The temple, lit by flickering torches and the luminous moon overhead, reveals a series of platforms and terraces, each telling a story of civilizations long past but not forgotten.Modular Part Creation:Learn to create over 50 modular parts, such as roofs, supports, and intricate water features, to build expansive environments.Apply advanced techniques for sculpting and detailing modular assets.Enveloped in a thick jungle canopy, the sounds of the nocturnal wilderness blend with the visual feast of flora that dbangs over the weathered architecture.Advanced Geometry Nodes:Dive deep into geometry nodes, understanding their function and how to use parameters to control them. Using Blender's powerful Geometry Nodes, this course will teach you to populate scenes with rich plant life effortlessly. You'll learn to generate realistic flora dynamically, perfecting scenes that feel alive and breathing.Implement these nodes to drastically speed up your workflow, all included for free in the resource pack.With each module of this course, you ll learn to harness the power of Blender to breathe life into such enthralling scenes manipulating light and texture to emphasize the eerie yet captivating atmosphere of a moonlit jungle.Shader Creation and Animation:Build and animate shaders replicating materials like water, wood, and stone.Master everything from basic setups to complex shader animations using drivers and colour ramps.This isn't just a course it's an adventure into the heart of a mysterious civilization!Lighting and Compositing:Create dynamic lighting setups for day and night scenes, utilizing Blender s powerful toolkit.Elevate your renders with advanced compositing, integrating multiple passes for professional-quality images.These final images reveal the temple in its full glory, surrounded by lush vegetation and a mystical aura under the night sky.Asset Management and Rendering:Organize and manage assets like a pro using Blender s asset manager and collections.Learn to use both Eevee and Cycles render engines to achieve stunning results.Resource PackReceive a comprehensive resource pack to support your learning journey, including:Nearly 100 trees, vines, foliage, and terrain plants.A high-resolution moon image and two animated waterfalls with custom shaders.A detailed human reference model and 24 material shaders.8 custom geometry nodes, including fire, stackers, stone blocks, stairs, archways, planks, and foliage scatter.Summing it All UpImagine standing amidst a dense jungle, the air filled with the whispers of ancient spirits. Your path, lit only by the moon's glow, leads to an awe-inspiring Aztec temple.By the end of Blender 4: The Modular and Kitbash Environment Guide , you'll have the skills to create detailed, optimized, and expansive environments in Blender. Transform your 3D modeling aspirations into reality with this course and take your portfolio to the next level.Start with Blender 4: The Modular and Kitbash Environment Guide and begin your journey to becoming a 3D modeling expert.Unveil the secrets hidden within these ancient walls and teach you how to create digital environments that are not only visually stunning but also rich in story and atmosphere.Your journey to mastering Aztec-inspired 3D environments begins here!The adventure awaits...Until next time, happy modeling everyone!Neil 3D Tudor

Who this course is for:
Aspiring Environment Artists: Anyone passionate about 3D modeling and environment creation in Blender.
3D Modelers and Visual Artists: Both beginners and seasoned artists looking to refine their skills in modular modeling, texture mapping, and environmental storytelling.
Game Designers and Developers: Professionals and indie developers focused on creating detailed, immersive environments for games.
Animation and VFX Professionals: Animators and visual effects artists who want to incorporate advanced 3D environment modeling and scene-building techniques into their workflows to improve visual storytelling.
Educators and Academic Professionals: Instructors, professors, and educators who teach 3D modeling, game design, or digital art, and are looking for comprehensive, up-to-date material on Blender s latest tools and techniques.
DIY Creators and Hobbyists: Enthusiasts who enjoy building and visualizing intricate digital environments, from ancient temples to lush jungles.

Code:
https://anonymz.com/?https://www.udemy.com/course/blender-4-the-modular-and-kitbash-environment-guide/



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Code:
https://rapidgator.net/file/0ff3a762f18cf6c014c670fc2f9a9522/Blender_4_The_Modular_and_Kitbash_Environment_Guide.part1.rar
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https://nitroflare.com/view/A37EC1138635621/Blender_4_The_Modular_and_Kitbash_Environment_Guide.part1.rar
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https://k2s.cc/file/7abf9baf77d02/Blender_4_The_Modular_and_Kitbash_Environment_Guide.part1.rar
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Code:
https://uploadgig.com/file/download/84810b1a9c3dcfe7/Blender_4_The_Modular_and_Kitbash_Environment_Guide.part1.rar
https://uploadgig.com/file/download/3758407Eb2fc7d10/Blender_4_The_Modular_and_Kitbash_Environment_Guide.part2.rar
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Complete Data Analyst Bootcamp From Basics To Advanced
Published 8/2024
Created by Krish Naik,Jayant Topnani,KRISHAI Technologies Private Limited
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 237 Lectures ( 50h 17m ) | Size: 29 GB


[center]
Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive Bootcamp

[/center]


[b]What you'll learn
:
[/b]
Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries.
Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization
Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports

Requirements:
A basic understanding of how to navigate your computer, including installing software and managing files, is essential.
Some experience with spreadsheet software like Microsoft Excel or Google Sheets will be helpful, as it will give you a foundation for data manipulation and basic analysis concepts
This course starts from the basics of Python, so no prior programming knowledge is necessary. However, a willingness to learn coding is important.
An eagerness to explore data, solve problems, and develop new skills is key to getting the most out of this bootcamp.

Description:
Are you ready to embark on a rewarding career as a Data Analyst? Whether you're a beginner or an experienced professional looking to enhance your skills, this Complete Data Analyst Bootcamp is your one-stop solution. This course is meticulously designed to equip you with all the essential tools and techniques needed to excel in the field of data analysis.What You Will Learn:Python Programming for Data AnalysisDive into Python, the most popular programming language in data science. You'll learn the basics, including data types, control structures, and how to manipulate data with powerful libraries like Pandas and NumPy. By the end of this module, you'll be able to perform complex data manipulations and basic analyses with ease.Statistics for Data ScienceUnderstanding the language of data requires a solid foundation in statistics. This course will take you through the key concepts such as descriptive statistics, probability, hypothesis testing, and inferential statistics. You'll gain the confidence to make data-driven decisions and interpret statistical results accurately.Feature Engineering and Data PreprocessingData preparation is critical for successful analysis. This module covers all aspects of feature engineering, from handling missing data and encoding categorical variables to feature scaling and selection. Learn how to transform raw data into meaningful features that improve model performance and analysis outcomes.Exploratory Data Analysis (EDA)Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.SQL for Data AnalystsSQL (Structured Query Language) is the backbone of database management and a must-have skill for any data analyst. This course will guide you from the basics of SQL to advanced querying techniques. You ll learn how to retrieve, manipulate, and aggregate data efficiently using SQL Server, enabling you to work with large datasets and perform sophisticated data analysis.Power BI for Data Visualization and ReportingData visualization is key to communicating your findings effectively. In this module, you'll master Power BI, a leading business intelligence tool. You'll learn how to create compelling dashboards, perform data transformations, and use DAX (Data Analysis Expressions) for complex calculations. The course also includes real-world reporting projects, allowing you to apply your skills and create professional-grade reports.Real-World Capstone ProjectsPut your knowledge to the test with hands-on capstone projects. You'll work on real-world datasets to perform end-to-end data analysis, from data cleaning and EDA to creating insightful visualizations and reports in Power BI. These projects are designed to simulate actual industry challenges, giving you practical experience that you can showcase in your portfolio.Who Should Enroll:Aspiring data analysts looking to build a comprehensive skill set from scratch.Professionals seeking to switch careers into data analysis.Data enthusiasts who want to gain hands-on experience with Python, SQL, and Power BI.Students and recent graduates aiming to enhance their job prospects in the data science industry.Why This Course?Comprehensive Curriculum: Covers everything from Python programming and statistics to SQL and Power BI, making you job-ready.Hands-On Learning: Work on real-world projects that mirror the challenges you'll face in the industry.Industry-Relevant Tools: Learn the most in-demand tools and technologies, including Python, SQL Server, and Power BI.Career Support: Gain access to valuable resources and guidance to help you kickstart or advance your career as a data analyst.Conclusion:By the end of this course, you'll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You'll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.Enroll now and start your journey to becoming a proficient Data Analyst!

Who this course is for:
Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up.
Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path.
Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills.
Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects.
Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks.

Code:
https://anonymz.com/?https://www.udemy.com/course/complete-data-analyst-bootcamp-from-basics-to-advanced/

[Image: 506547577_complete_data_analyst_bootcamp...vanced.jpg]

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Code:
https://rapidgator.net/file/18b876398223c7fa91a50e0eee2ac589/Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part1.rar
https://rapidgator.net/file/c8b55bb63b8c4b9fc0eac6faadaed148/Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part2.rar
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Canva Blackbelt: Harness Gen AI to 10X Your Design Skills
Published 8/2024
Duration: 47h58m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 69.1 GB
Genre: eLearning | Language: English

Master Canva s Gen AI, ChatGPT, and Magic Studio to create viral social media content, stunning digital products



What you'll learn
Master advanced Canva design techniques for stunning visuals.
Integrate AI tools like ChatGPT to boost creative output.
Create professional videos and animations quickly.
Design high-quality digital products for online sales.
Use Canva's whiteboard for effective business planning.
Generate custom logos, templates, and social media graphics.
Save time with exclusive Canva hacks and shortcuts.
Optimize content for better engagement and conversions.


Requirements
Computer and Internet


Description
Are you ready to take your design skills to an entirely new level? Imagine being able to create stunning, professional-grade designs, animations, and digital products that captivate audiences and drive sales. With years of experience using Canva and the incredible power of AI at my disposal, I ve crafted this course to help you unlock your full creative potential.
In a world where design is becoming increasingly essential, this course will give you the edge you need to stand out. Whether you re an entrepreneur looking to boost your brand, a content creator aiming to increase engagement, or a digital marketer seeking to optimize your campaigns, the skills you ll gain here are
priceless
. And what s even better? You ll learn how to do it all
fast
.
Why This Course?
Proven Techniques
Over years of design experience distilled into actionable steps that
you
can follow.
AI-Powered Creativity
Master the integration of cutting-edge AI tools with Canva to supercharge your design process.
Results-Driven
Design strategies and hacks that have been tested and proven to boost engagement, conversions, and sales.
What You'll Learn
Advanced Canva Techniques
Learn to use Canva like a pro, even if you're a complete beginner. Discover the hidden features that top designers use to create visually stunning content.
AI Integration
Uncover the potential of AI in design. Learn how to harness the power of ChatGPT, Leonardo Phoenix, and other AI tools to create designs that are not only beautiful but also
intelligent
.
Video Editing & Animation
Step into the future of content creation. Create eye-catching videos, animations, and dynamic content that grab attention and hold it.
Digital Product Design
Master the creation of high-quality digital products, from social media templates to custom logos, printables, and more perfect for platforms like Etsy and Creative Fabrica.
Whiteboard Planning & Strategy
Use Canva s whiteboard features to organize your business plans and social media strategies, ensuring every move you make is calculated and impactful.
Course Highlights
Over 15 in-depth modules
covering every aspect of Canva and AI-enhanced design.
Exclusive hacks and shortcuts
that save you time and amplify your creative output.
Comprehensive video tutorials
that break down even the most complex techniques into easy-to-follow steps.
Real-world examples
and projects designed to prepare you for the demands of the modern digital landscape.
Why You Need This Course
Design is no longer optional
it s essential. In a market saturated with content,
only the best designs
rise to the top.
AI is the future.
Don t get left behind. This course equips you with the tools and knowledge to stay ahead of the curve.
Unlock your earning potential.
Whether you re selling digital products or increasing your brand s visibility, the skills you ll learn here will translate directly into skill and career upgrade.
Who This Course is For
Entrepreneurs
ready to level up their branding and marketing materials.
Digital Marketers
seeking to optimize ad campaigns with compelling visuals.
Content Creators
wanting to enhance their videos, animations, and social media posts.
Design Enthusiasts
eager to explore AI s role in the creative process.
By the end of this course, you won t just be another Canva user. You ll be a
design blackbelt
, armed with AI-driven tools and strategies that will set your work apart in any field. This isn t just another course this is the key to transforming your design capabilities and unlocking
endless possibilities
.
Join me on this journey to master the future of design.
Enroll today
and start creating content that doesn t just meet the standard
it sets the standard.
Your audience is waiting.
Who this course is for
Entrepreneurs aiming to elevate their brand.
Digital marketers seeking impactful visuals.
Content creators enhancing video and social content.
Designers interested in AI-powered creativity.
Beginners eager to master Canva quickly.


Homepage
Code:
https://www.udemy.com/course/canva-blackbelt-harness-gen-ai-to-10x-your-design-skills

[Image: 506122375_canva-blackbelt-harness-gen-ai...skills.jpg]

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Code:
https://rapidgator.net/file/c6af218f79fbc23edf640f086bc7c92c/canva-blackbelt-harness-gen-ai-to-10x-your-design-skills.part01.rar
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Data Science, AI, and Machine Learning with R
Published 8/2024
Created by Uplatz Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 53 Lectures ( 50h 42m ) | Size: 23.4 GB


[center]
Gain practical experience in R for Data Analysis, Machine Learning and Artificial Intelligence. Become a Data Scientist.

[/center]


[b]What you'll learn
:
[/b]
Grasp the core concepts of data science and its applications in various industries.
Set up and navigate the R programming environment effectively.
Master R programming fundamentals, including data types, structures, operators, and control flow.
Understand essential statistical and probability concepts for data analysis.
Collect data from diverse sources (flat files, databases, web, APIs).
Clean, manipulate, and preprocess data to ensure its quality and suitability for analysis.
Conduct exploratory data analysis to uncover patterns and insights using visualizations.
Analyze and interpret data effectively using R's powerful statistical and visualization tools.
Build and evaluate various machine learning models for: Prediction (regression), Classification, Clustering, Association rule mining.
Apply dimensionality reduction methods like PCA and LDA.
Utilize ensemble methods (bagging and boosting) to improve model performance.
Build and deploy machine learning models using R to solve real-world problems.
Think critically about data and apply data science techniques in a variety of contexts.
Complete an end-to-end capstone project to solidify learning and demonstrate practical skills in data science and machine learning using R.

Requirements:
Enthusiasm and determination to make your mark on the world!

Description:
A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with R course by Uplatz.R Programming LanguageConcept: R is a free, open-source programming language and software environment designed for statistical computing and graphics. It is widely used by statisticians, data scientists, and researchers.Key Strengths in the Context of Data Science, AI & ML:Vast Ecosystem: R boasts a rich collection of packages (over 18,000+) contributed by the community, covering a broad spectrum of data analysis and machine learning tasks.Data Visualization: R's powerful visualization libraries (like ggplot2) create publication-quality plots and interactive graphics, aiding in data exploration and communication of insights.Statistical Power: R's foundation in statistics provides a strong base for data analysis, hypothesis testing, and modeling.Reproducibility: R encourages reproducible research through its literate programming capabilities (R Markdown), making it easier to document and share the entire analysis process.Data ScienceConcept: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves various techniques, including data mining, statistics, machine learning, and visualization.R's Role in Data Science: R provides a robust environment for data science tasks. Its extensive libraries (like dplyr, tidyr, ggplot2) enable data cleaning, manipulation, exploration, and visualization. R's statistical capabilities make it ideal for hypothesis testing, modeling, and drawing inferences from data.Data Manipulation and Cleaning: R excels at data manipulation and cleaning, using packages like dplyr, tidyr, and data.table. These tools help in transforming and preparing data for analysis.Exploratory Data Analysis (EDA): R provides extensive tools for EDA, allowing users to summarize datasets, detect outliers, and identify trends. Functions in base R along with packages like ggplot2 are commonly used for this purpose.Statistical Analysis: R was built for statistics, so it offers a wide array of functions for hypothesis testing, regression analysis, ANOVA, and more. Packages like stats, MASS, and lmtest are frequently used for statistical modeling.Data Visualization: R is renowned for its data visualization capabilities. ggplot2 is a powerful package for creating complex, multi-layered graphics. Other packages like lattice and plotly allow for interactive visualizations.Artificial Intelligence (AI)Concept: AI is a broad field of computer science that aims to create intelligent agents capable of mimicking human-like cognitive functions such as learning, reasoning, problem-solving, perception, and language understanding.R's Role in AI: While R isn't the primary language for core AI development (like Python or C++), it plays a vital role in AI research and applications. R's statistical and machine learning libraries (like caret, randomForest) facilitate building predictive models, evaluating their performance, and interpreting results.Statistical Learning: R supports various statistical learning methods, which are foundational for AI. Libraries like caret and mlr provide tools for building and evaluating statistical models.Natural Language Processing (NLP): While Python is more popular for NLP, R has packages like tm and quanteda for text mining and processing tasks. These can be used for sentiment analysis, topic modeling, and other NLP tasks.Computer Vision: R can be used for basic computer vision tasks through packages like EBImage. However, for more complex tasks, Python is generally preferred due to its more extensive libraries.Integration with Python: For AI tasks where Python s libraries are more advanced, R can be integrated with Python through the reticulate package, allowing users to leverage Python s AI capabilities while staying within the R environment.Machine Learning (ML)Concept: ML is a subset of AI that focuses on developing algorithms that enable systems to learn from data and improve their performance on a specific task without being explicitly programmed.R's Role in Machine Learning: R shines in the machine learning domain. It offers a comprehensive collection of machine learning algorithms (regression, classification, clustering, etc.) and tools for model building, evaluation, and tuning. Packages like caret simplify the process of training and comparing various models.Model Development: R offers several packages for building machine learning models, such as randomForest, xgboost, and caret. These tools help in creating models like decision trees, random forests, and gradient boosting machines.Model Evaluation: R provides robust tools for evaluating model performance, including cross-validation, ROC curves, and other metrics. The caret package is particularly useful for this purpose.Feature Engineering: R s data manipulation packages, like dplyr and caret, are used for feature engineering, which involves creating new features from raw data to improve model performance.Deep Learning: While Python dominates deep learning, R has packages like keras and tensorflow that provide an interface to TensorFlow, allowing users to build deep learning models within R.Deployment: R can be used to deploy models into production environments. The plumber package, for example, can turn R scripts into RESTful APIs, enabling the integration of R models into applications.Artificial Intelligence, Data Science, and Machine Learning with R - Course Curriculum1. Overview of Data Science and R Environment SetupEssential concepts of data science R language Environment Setup2. Introduction and Foundation Principles of R ProgrammingBasic concepts of R programming3. Data CollectionEffective ways of handling various file types and importing techniques4. Probability & StatisticsUnderstanding patterns, summarizing data mastering statistical thinking and probability theory5. Exploratory Data Analysis & Data VisualizationMaking the data ready using charts, graphs, and interactive visualizations to use in statistical models6. Data Cleaning, Data Manipulation & PreprocessingGarbage in - Garbage out (Wrangling/Munging):7. Statistical Modeling & Machine LearningSet of algorithms that use data to learn, generalize, and predict8. End to End Capstone Project1. Overview of Data Science and R Environment Setupa. Overview of Data ScienceIntroduction to Data ScienceComponents of Data ScienceVerticals influenced by Data ScienceData Science Use cases and Business ApplicationsLifecycle of Data Science Projectb. R language Environment SetupIntroduction to Anaconda DistributionInstallation of R and R StudioAnaconda Navigator and Jupyter Notebook with RMarkdown Introduction and ScriptingR Studio Introduction and Features2. Introduction and Foundation Principles of R Programminga. Overview of R environment and core R functionalityb. Data typesNumeric (integer and double)complexcharacter and factorlogicaldate and timeRawc. Data structuresvectorsmatricesarrayslistsdata framesd. Operatorsarithmeticrelationallogicalassignment Operatorse. Control Structures & Loopsfor, whileif elserepeat, next, breakswitch caseg. Functions apply family functions (i) apply (ii) lapply (iii) sapply (iv) tapply (v) mapplyBuilt-in functionsUser defined functions3. Data Collectiona. Data Importing techniques, handling inaccurate and inconsistent datab. Flat-files dataread.csvread.tableread.csv2read.delimread.delim2c. Excel datareadxlxlsxreadrxlconnectgdatad. Databases (MySQL, SQLite...etc)RmySQLRSQLitee. Statistical software's data (SAS, SPSS, stata, etc.)foreignhavenhmiscf. web-based data (HTML, xml, json, etc.)rvest packagerjson packageg. Social media networks (Facebook Twitter Google sheets APIs)RfacebooktwitteR4. Probability & Statisticsa. Core concepts of mastering in statistical thinking and probability theoryb. Descriptive Statistics Types of Variables & Scales of Measurement (i) Qualitative/Categorical 1) Nominal 2) Ordinal (ii) Quantitative/Numerical 1) Discrete 2) Continuous 3) Interval 4) RatioMeasures of Central Tendency (i) Mean, median, modeMeasures of Variability & Shape (i) Standard deviation, variance and Range, IQR (ii) Sleekness & Kurtosisc. Probability & DistributionsIntroduction to probabilitybinomial distributionuniform distributiond. Inferential StatisticsSampling & Sampling DistributionCentral Limit TheoremConfidence Interval EstimationHypothesis Testing5. Exploratory Data Analysis & Data Visualizationa. Understanding patterns, summarizing data and presentation using charts, graphs and interactive visualizationsb. Univariate data analysisc. Bivariate data analysisd. Multivariate Data analysise. Frequency Tables, Contingency Tables & Cross Tablesf. Plotting Charts and GraphicsScatter plotsBar Plots / Stacked bar chartPie ChartsBox plotsHistogramsLine Graphsggplot2, lattice packages6. Data Cleaning, Data Manipulation & Preprocessinga. Garbage in - garbage out: Data munging or Data wranglingb. Handling errors and outliersc. Handling missing valuesd. Reshape data (adding, filtering, dropping and merging)e. Rename columns and data type conversionf. Duplicate recordsg. Feature selection and feature scalingh. Useful R packagesdata.tabledplyrsqldftidyrreshape2lubridatestringr7. Statistical Modeling & Machine Learninga. Set of algorithms that uses data to learn, generalize, and predictb. RegressionSimple Linear RegressionMultiple Linear RegressionPolynomial Regressionc. ClassificationLogistic RegressionK-Nearest Neighbors (K-NN)Support Vector Machine (SVM)Decision Trees and Random ForestNaive Bayes Classifierd. ClusteringK-Means ClusteringHierarchical clusteringDBSCAN clusteringe. Association Rule MiningAprioriMarket Basket Analysisf. Dimensionality ReductionPrincipal Component Analysis (PCA)Linear Discriminant Analysis (LDA)g. Ensemble MethodsBaggingBoosting8. End to End Capstone ProjectCareer Path and Job Titles after learning RR is primarily used for statistical analysis, data science, and data visualization. It s particularly popular in academia, research, finance, and industries where data analysis is crucial. Following is a potential career path and the job titles you might target after learning R:1. Entry-Level RolesData Analyst: Uses R to clean, manipulate, and analyze datasets. This role often involves generating reports, creating visualizations, and conducting basic statistical analysis.Statistical Analyst: Focuses on applying statistical methods to analyze data and interpret results. R is commonly used for its rich set of statistical tools.Junior Data Scientist: Works under the supervision of senior data scientists to gather, clean, and analyze data, often using R for data exploration and model building.Research Assistant: Supports research projects by performing data analysis, literature reviews, and statistical testing, often using R for handling data.2. Mid-Level RolesData Scientist: Uses R to build predictive models, perform advanced statistical analysis, and extract actionable insights from data. This role may also involve developing and testing machine learning algorithms.Quantitative Analyst (Quant): Works in finance or trading, using R to analyze financial data, develop pricing models, and perform risk assessment.Biostatistician: Uses R to analyze biological data, often in clinical trials or medical research. This role involves designing experiments, analyzing results, and interpreting the data.Econometrician: Applies statistical methods to economic data to analyze trends, make forecasts, and model economic behavior. R is commonly used for econometric modeling.3. Senior-Level RolesSenior Data Scientist: Leads data science projects, mentors junior team members, and designs complex models to solve business problems using R and other tools.Data Science Manager: Oversees data science teams, ensuring that projects align with business goals. This role involves both technical work and managerial responsibilities.Principal Statistician: Works at a high level within organizations, leading statistical analysis and contributing to the design of studies, experiments, and surveys.Chief Data Officer (CDO): An executive role responsible for the data strategy and governance within an organization. This position requires deep expertise in data science, often with a background in using tools like R.

Who this course is for:
Anyone aspiring for a career in Data Science, Machine Learning, and AI.
Data Analysts looking to expand their skill set and move into data science roles.
Data Scientists transitioning from other tools or languages to R.
Machine Learning Engineers seeking to strengthen their foundation in data science and statistics using R.
AI Engineers looking to leverage R's capabilities for data analysis and research.
Business Analysts seeking to leverage data for more advanced insights and decision-making.
Statisticians wanting to learn how to apply their expertise in a machine learning context.
Software Developers or Engineers interested in data-driven applications and AI development.
Researchers from various fields (e.g., social sciences, biology) aiming to apply data science and ML techniques to their work.
Anyone with a strong quantitative background looking to transition into a data science career.
Undergraduate or graduate students studying statistics, computer science, mathematics, or related disciplines.
Researchers and academics interested in incorporating data science and ML into their research.

Code:
https://anonymz.com/?https://www.udemy.com/course/data-science-artificial-intelligence-machine-learning-with-r/

[Image: 506817580_data_science_ai_and_machine_le...with_r.jpg]

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Java Spring Framework 6 with Spring Boot 3
Last updated 8/2024
Duration: 44h55m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 44.9 GB
Genre: eLearning | Language: English

Master Java, Spring 6 and Spring Boot 3 with JDBC, JPA, Security, Docker and Microservices with Telusko



What you'll learn
Core Java
Spring Boot
Spring Core - IoC
Spring MVC
Spring AOP
Spring Data JPA
Spring REST
Spring Security
Docker
Microservices


Requirements
Knowledge of SQL and databases is helpful
Basic Knowledge of HTML is helpful


Description
Spring 6
is a functional web framework for back-end development and is quite famous among Java developers when it comes to designing an enterprise-based application.
It consists of lots of modules and projects, which makes it very huge.
The
Spring Framework
and
Spring Boot
enable developers to create high-performing, reusable, easily testable, and loose-coupling enterprise Java applications
It can be used to develop any Java application.
Knowledge of Spring Framework has a huge demand in the enterprise market, and Spring Framework developers are paid handsomely.
Having Spring Framework on your resume will highlight you among other Java developers.
This course offers hands-on experience building Spring Framework apps using Spring Boot.
This course will be interactive and fun, as I will code all the projects from scratch.
By taking this course, you will have the latest skills that you need to build real apps using the Spring Framework.

Requirements for this Course

Basic Knowledge of HTML is helpful
Knowledge of SQL and databases is helpful
Learn these important topics
Java
JDBC
Maven
Spring Boot
Spring Core (IoC)
Spring MVC
Spring AOP
Spring Data JPA
Spring REST
Spring Security
Docker
Microservices
Who this course is for

The course is for all Java developers, from beginners to advanced, who want to master Spring framework modules with Spring Boot
This learning path is for developers who wish to create their own web apps with Spring 6
This course is ideal for developers who wish to use the Spring Frameworks for enterprise application development
Who this course is for
The course is for all Java developers: beginners to advanced who want to master Spring framework modules with Spring Boot
This learning path is for developers who wish to create their own web applications with Spring 5
This course is ideal for developers who wish to use the Spring Frameworks for enterprise application development


Homepage
Code:
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[Image: 507031603_spring-5-with-spring-boot-2.jpg]

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Laravel 11 - From Basics to Advance
Published 8/2024
Created by Web Solution US
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 252 Lectures ( 51h 44m ) | Size: 23.4 GB


[center]
Learn Laravel 11 Step-by-Step and Build Professional Projects with Confidence From the Ground Up to Advanced Techniques.

[/center]


[b]What you'll learn
:
[/b]
Route
Blade Templates and Views
Controllers
Database Model, Migration and Seeders
Query Builder
Eloquent ORM
Form and Validation
File Storage
HTTP Redirects
Query Builder Joins
Eloquent ORM Relations
Middleware
Authentication
Authorization
HTTP Responses
Mail
Blade Components
Session
Caching
Project: Ecommerce Cart Project
Queues And Background Processing
Observers, Event Listeners
Broadcasting
Service Container
API Basics
Hands on Projects
Real Time Messenger Project
Shopping Cart Project
Google Keep Clone
And More

Requirements:
You have to know basic PHP and OOP
Basic HTML, CSS, Bootstrap, jQuery
Local Server : XAMPP/WAMP/MAMP/Laragon
Text Editor/IDE: Notepad++ / Sublime Text / Visual Studio Code / PhpStrom

Description:
Unlock the power of Laravel 11 with our comprehensive course designed for both beginners and aspiring experts. "Laravel 11: From Basics to Advanced" is your one-stop resource to master the latest version of Laravel, the popular PHP framework known for its elegance and efficiency.This course takes you on a step-by-step journey through the fundamentals of Laravel, guiding you through advanced techniques and real-world applications. Whether you're new to web development or looking to refine your skills, this course will equip you with the knowledge and hands-on experience needed to build professional-grade applications.What You ll Learn:Laravel Essentials: Understand the core concepts of Laravel, including routing, controllers, models, and views.Database Management: Learn how to efficiently manage data using Laravel's powerful Eloquent ORM.Advanced Techniques: Dive into advanced topics like authentication, authorization, Service Container, Background Process, API development and more.Hands on Projects: Learn by doing Project you will build 4 project for make your grip more string on learning.Best Practices: Discover industry best practices to ensure your Laravel applications are scalable, maintainable, and secure.Why Choose This Course?Hands-On Learning: Work on professional projects that mirror real-world scenarios.Expert Instruction: Learn from an experienced developer with years of Laravel expertise.Lifetime Access: Revisit course materials anytime with lifetime access to the content.30-Day Money-Back Guarantee: Enroll with confidence, knowing you can get a full refund within 30 days if the course doesn t meet your expectations.By the end of this course, you ll have the skills and confidence to build and deploy sophisticated Laravel applications, making you a valuable asset in any web development team.

Who this course is for:
Beginners in Web Development: Anyone new to web development who wants to start with a powerful and popular PHP framework.
Aspiring Laravel Developers: Individuals looking to specialize in Laravel and enhance their web development skills.
Junior Developers: Developers with some experience who want to deepen their understanding of Laravel and take their skills to the next level.
PHP Developers: Those familiar with PHP who want to transition into using Laravel for more efficient and elegant web application development.
Freelancers & Entrepreneurs: Independent developers and business owners who want to build scalable and maintainable web applications using Laravel.
Students & Educators: Those studying web development or teaching Laravel, looking for a structured and comprehensive resource.
Professionals Seeking Career Growth: Developers aiming to upgrade their skills and increase their job prospects by mastering a widely-used framework.


Homepage
Code:
https://www.udemy.com/course/laravel-basics-to-advance/

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AIDMM - AI Based Digital Marketing Mastery
Published 8/2024
Duration: 26h43m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 36.6 GB
Genre: eLearning | Language: English

AI-Powered Digital Marketing Mastery: From Building Content and Funnels to Automating Success



What you'll learn
Learn digital marketing fundamentals and explore earning through jobs, affiliate marketing, freelancing, and more.
Recognize the critical role of content in digital marketing and how AI can streamline the content creation process across different formats.
Leverage AI tools for comprehensive research, including niche, audience, and product/service research, to inform your marketing strategies.
Craft effective prompts and apply advanced prompting techniques to maximize the capabilities of AI tools in your digital marketing tasks.
Create high-converting sales funnels by understanding and applying advanced funnel strategies tailored to your target audience.
Generate engaging content across multiple formats text, images, audio, and video using AI tools, and deploy it effectively across digital marketing channels.
Set up and customize a WordPress website, including landing pages, blogs, popups, and more, to establish a strong online presence for your brand or business.
Understand SEM, SMM, and how to implement strategies to create marketing campaigns.
Set up and manage effective email marketing campaigns, including automated sequences, to nurture leads and convert them into customers.
Automate your marketing processes using industry-leading tools, freeing up time and resources while maintaining consistent communication with your audience.
Build and launch comprehensive marketing funnels that integrate AI-driven content creation, SEM, SMM, and email marketing for a seamless customer journey.
Stay ahead of the curve by mastering the latest AI tools and techniques in digital marketing, ensuring your skills remain relevant in an evolving industry.


Requirements
Basic Computer Skills: Familiarity with using a computer and navigating the internet is recommended but not mandatory.
No Prior Experience Needed: This course is designed for beginners as well as professionals. No prior digital marketing or AI experience is required.
A Willingness to Learn: An eagerness to explore the intersection of AI and digital marketing will help you get the most out of this course.
Access to a Smartphone or Computer and Internet: You ll need a smartphone or computer or laptop with internet access to follow along with the course and practice the tools introduced.
Curiosity and Creativity: An open mind and a creative approach will enhance your learning experience as you explore new AI tools and techniques.


Description
Ready to dive into the future of digital marketing?
This course is your gateway to mastering AI-powered strategies that will set you apart. Whether you re aiming for a high-paying job, launching a freelance career, earn passively via affiliate marketing, or growing your business, this course arms you with the tools and techniques to thrive.
You ll start with the basics of digital marketing, then jump straight into using AI to perform deep-dive research about your niche, audience, product/service that you want to sell, and then create content that doesn t just speak to your audience but converts them.
From text, images, and audio to video learn how to harness AI to build a complete content arsenal tailored to every stage of your sales funnel.
But it doesn t stop just at content.
You ll discover how to use AI for other use cases like data analysis, coding, even building custom GPTs that work for you around the clock.
Plus, this course will guide you through the practical side of digital marketing building websites, optimizing for SEO, mastering SEM and SMM, and automating your entire marketing process via email marketing, and other AI driven marketing automation tools.
Whether you're just starting or looking to up your game, this course equips you to use AI to dominate the digital space and achieve your goals.
Who this course is for
Aspiring Digital Marketers: Those looking to break into the digital marketing industry and gain practical, AI-driven skills to jumpstart their careers.
Freelancers and Entrepreneurs: Individuals who want to enhance their marketing strategies, automate processes, and scale their business using AI tools.
Business Owners: Entrepreneurs aiming to build a strong online presence, optimize content creation, and drive more sales through effective digital marketing.
Marketing Professionals: Those seeking to stay ahead of industry trends by mastering AI tools and techniques to enhance their current digital marketing strategies.
Affiliate Marketers: Marketers looking to boost their affiliate income by leveraging AI for niche research, content creation, and funnel optimization.
Working Professionals: Professionals in any field who want to transition into digital marketing or upskill by integrating AI into their current roles.
Anyone Curious About AI in Marketing: Learners who want to explore how AI can be used in digital marketing, even if they re starting from scratch.


Homepage
Code:
https://www.udemy.com/course/ai-digital-marketing-mastery/

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Master Windows & Linux: Ultimate Admin Bootcamp (2024)
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 27.07 GB | Duration: 91h 40m

IT Career Booster: Master AD, Linux, automation & security in Windows & Linux environments



What you'll learn
Master Windows Server administration, including Active Directory, Group Policy, and security best practices for enterprise environments.
Gain proficiency in Linux system administration, covering command-line operations, user management, and network configuration.
Develop advanced scripting skills in both PowerShell and Bash to automate tasks and enhance productivity across both platforms.
Implement and manage high availability solutions, including clustering and load balancing, for Windows and Linux servers.
Master essential security practices for both Windows and Linux, including hardening techniques, access control, and threat mitigation.
And much more...

Requirements
Basic IT knowledge and familiarity with computer concepts. No prior experience with Windows Server or Linux is required, but basic computer skills and understanding of networking fundamentals will be helpful. A computer with internet access and the ability to set up virtual machines (8GB RAM recommended) is needed for hands-on practice. We'll guide you through all necessary software installations. This course is designed to take you from beginner to advanced, so come with an eagerness to learn and you'll be well-prepared for the course!

Description
Master Windows Server and Linux Administration: The Ultimate Hands-On GuideElevate your IT career with our comprehensive 90+ hour course covering essential skills for managing Windows Server and Linux environments. Perfect for aspiring system administrators and IT professionals looking to expand their expertise and unlock new career opportunities.Key highlights: Dive deep into Windows Server administration, from installation to advanced features Explore Active Directory, Group Policy, and security best practices Learn Linux fundamentals and advanced concepts across popular distributions Master PowerShell and Bash scripting for efficient system management Hands-on labs and real-world scenarios to reinforce your learningLinux in the Modern World:Linux powers much of the world's technology infrastructure, from web servers and cloud platforms to mobile devices and embedded systems. Its open-source nature, stability, and flexibility make it a top choice for enterprises, startups, and governments alike. By mastering Linux, you'll position yourself at the forefront of technological innovation and open doors to exciting career opportunities in cloud computing, DevOps, IoT, and more.Windows Server in Enterprise Environments:Windows Server remains a cornerstone of enterprise IT infrastructure, providing essential services for businesses of all sizes. From managing user identities and access to hosting critical business applications, Windows Server skills are in high demand. Proficiency in Windows Server administration will make you an invaluable asset to organizations relying on Microsoft technologies.The Power of Mastering Both:By acquiring skills in both Windows Server and Linux administration, you'll become a versatile and highly sought-after IT professional. This unique combination allows you to: Seamlessly navigate and integrate diverse IT environments Implement robust, cross-platform solutions for complex business needs Adapt quickly to evolving technology landscapes and job requirements Stand out in the job market with a broader skill set than most candidates Contribute effectively to hybrid cloud and multi-cloud strategies Solve a wider range of IT challenges, making you indispensable to employersCareer Advancement and Opportunities:Completing this course will significantly enhance your career prospects in the IT industry: Qualify for in-demand roles such as Systems Administrator, Network Administrator, or IT Infrastructure Specialist Boost your earning potential - skilled Windows/Linux admins command competitive salaries Prepare for sought-after certifications in both Microsoft and Linux domains Position yourself for career growth into roles like IT Manager or Cloud Architect Gain the versatility to work across diverse IT environments and industries Develop a strong foundation for specializing in cloud technologies, DevOps, or cybersecurityBy the end of this course, you'll have the confidence and skills to: Deploy and manage Windows Server and Linux systems in enterprise environments Implement robust security measures and troubleshoot common issues Automate tasks with PowerShell and Bash scripting Tackle certification exams with ease Impress employers with your broad skill set and hands-on experienceWhether you're new to system administration or looking to level up your skills, this course provides the perfect blend of theory and practical knowledge to succeed in today's IT landscape. Start your journey to becoming a versatile and in-demand IT professional today!Invest in your future - gain the skills that will set you apart in the competitive IT job market and open doors to exciting career opportunities.Brief Course Outline:1. Windows Server Administration - Installation and configuration - Active Directory and Group Policy - Networking and storage management - High availability and disaster recovery - Security and performance optimization2. Linux Administration - Linux fundamentals and command line mastery - User and group management - File system administration - Network configuration and security - Package management and software installation3. PowerShell Scripting - PowerShell basics and syntax - Writing and executing scripts - Automating Windows Server tasks - Managing Active Directory with PowerShell4. Bash Scripting - Bash scripting fundamentals - Creating and debugging scripts - Automating Linux system administration tasks - Text processing and data manipulation5. Advanced Topics - Virtualization and containerization - Cloud integration - Configuration management tools (Ansible) - Monitoring and loggingWhat You'll Learn:- Install, configure, and manage Windows Server and Linux systems- Implement and administer Active Directory services- Configure and maintain network services on both platforms- Manage storage solutions, including RAID and LVM- Implement security best practices and hardening techniques- Write powerful scripts in PowerShell and Bash for task automation- Deploy and manage virtual machines and containers- Implement high availability and disaster recovery solutions- Monitor system performance and troubleshoot common issues- Integrate on-premises systems with cloud services- Use configuration management tools for efficient system administrationBy the end of this course, you'll have a comprehensive skill set covering both Windows and Linux environments, positioning you as a versatile and valuable IT professional ready to take on the challenges of modern infrastructure management.

Overview
Section 1: Introduction

Lecture 1 Instructor's Intro

Lecture 2 Introduction and Installing Windows Server 2022

Lecture 3 Activating Windows Server 2022

Lecture 4 Post-Install Tasks. Part 1

Lecture 5 Post-Install Tasks. Part 2

Lecture 6 Setting a Base Image with SYSPREP

Lecture 7 Recap

Lecture 8 Setting up your first DC

Lecture 9 Installing WAC and Joing a workstation to the domain

Lecture 10 Server Core

Lecture 11 Adding a Child Domain to the Lab

Lecture 12 Recap: Base Lab SOP

Lecture 13 AD DS Admin Tools

Lecture 14 Creating Users in our Lab

Lecture 15 Creating OU, Group, and User Template

Lecture 16 Manging AD DS Objects with Powershell

Lecture 17 Building Trusts between Forests

Lecture 18 Server Manager

Lecture 19 Getting started with Powershell

Lecture 20 Installing Hyper-V in Windows Server Lab

Lecture 21 Installing Hyper-V in Windows Server Lab. Part 2

Lecture 22 Networking basics

Lecture 23 Configuring Network Settings

Lecture 24 Installing updates and upgrading Windows Server 2019 to 2022

Lecture 25 Creating an automated answer file to automate the installation

Lecture 26 Module 1: Installing and configuring domain controllers. Overview

Lecture 27 AD DS components

Lecture 28 What is the AD DS schema?

Lecture 29 What is an AD DS forest?

Lecture 30 What is an AD DS domain?

Lecture 31 What are OUs?

Lecture 32 What is Azure AD?

Lecture 33 Overview of AD DS administration tools

Lecture 34 Demo 1: Overview of AD DS administration tools and components

Lecture 35 Demo 2: Overview of AD DS administration tools and components

Lecture 36 Demo 3: Active Directory Administrative Center to administer and manage AD DS

Lecture 37 Overview of AD DS domain controllers

Lecture 38 What is a domain controller?

Lecture 39 What is a global catalog?

Lecture 40 Demo: What is a global catalog?

Lecture 41 Overview of domain controller SRV records

Lecture 42 Demo: Overview of domain controller SRV records

Lecture 43 AD DS sign-in process

Lecture 44 Demo: AD DS sign-in process

Lecture 45 Demo: AD DS sign-in process

Lecture 46 What are operations masters?

Lecture 47 Transferring and seizing roles

Lecture 48 Deploying a domain controller: Overview

Lecture 49 Installing a domain controller from Server Manager

Lecture 50 Demo: Part 1. Installing a domain controller from Server Manager

Lecture 51 Demo: Part 2. Installing a domain controller from Server Manager

Lecture 52 Installing a domain controller on a Server Core installation of Windows Server

Lecture 53 Demo: Installing a domain controller on a Server Core

Lecture 54 Installing a domain controller by installing from media

Lecture 55 Cloning domain controllers

Lecture 56 Demonstration: Cloning domain controllers

Lecture 57 Demonstration: Adding Another domain controllers

Lecture 58 Demonstration: Installing a domain controller with Powershell

Lecture 59 Demonstration: FSMO Roles

Section 2: Managing user accounts

Lecture 60 Managing User Accounts Overview

Lecture 61 Creating user accounts

Lecture 62 Demo: Configuring user account attributes

Lecture 63 Demo: Managing user accounts

Lecture 64 Creating user profiles

Lecture 65 Demo: Creating user profiles

Lecture 66 Demo: User account templates

Lecture 67 Using Windows PowerShell cmdlets to manage user accounts

Lecture 68 Using Windows PowerShell to create users

Lecture 69 Using Windows PowerShell for bulk users operations

Lecture 70 Using Windows PowerShell to modify users' properties

Lecture 71 Using Windows PowerShell to add users to groups

Lecture 72 Using Windows PowerShell to modify users' properties. Part2

Lecture 73 Using Windows PowerShell to enable/move users

Lecture 74 Using Windows PowerShell to delete users

Section 3: Managing groups, computers, OU in AD DS

Lecture 75 Managing groups in AD DS Section Overview

Lecture 76 Group types

Lecture 77 Group types

Lecture 78 Group scopes

Lecture 79 Demo: Group scopes

Lecture 80 Implementing group management

Lecture 81 Demo: Implementing group management (IGDLA)

Lecture 82 Managing members with GPO

Lecture 83 Demo: Using Restricted Groups Setting

Lecture 84 Default groups

Lecture 85 Demo: Using Account Operators Groups and Delegate Control

Lecture 86 Special identities

Lecture 87 Demonstration: Managing groups in Windows Server

Lecture 88 Demo: Checking Groups Membership

Lecture 89 Managing computer objects in AD DS Section Overview

Lecture 90 Specifying the location of computer accounts

Lecture 91 Controlling permissions to create computer accounts

Lecture 92 Joining a computer to a domain

Lecture 93 Demo: Managing Computer Obejects

Lecture 94 Resetting the computer account (secure channel)

Lecture 95 Demo: Resetting the computer account (secure channel)

Lecture 96 Performing an offline domain join

Lecture 97 Lab Tasks: Managing objects in AD DS

Lecture 98 Lab Solution: Managing objects in AD DS

Lecture 99 Implementing and managing OUs Section Overview

Lecture 100 Planning OUs

Lecture 101 OU hierarchy considerations

Lecture 102 Considerations for using OUs

Lecture 103 AD DS permissions

Lecture 104 Delegating AD DS permissions

Lecture 105 Using Windows PowerShell for AD DS administration Section Overview

Lecture 106 Using Windows PowerShell cmdlets to manage groups

Lecture 107 PowerShell: Managing, configuring and modifying Group objects. Part 1

Lecture 108 PowerShell: Managing, configuring and modifying Group objects. Part 2

Lecture 109 PowerShell: Managing, configuring and modifying Group objects. Part 3

Lecture 110 PowerShell: Managing, configuring and modifying Group objects. Part 4

Lecture 111 PowerShell: Managing, configuring and modifying Group objects. Part 5

Lecture 112 Windows PowerShell cmdlets to manage computers and OUs

Lecture 113 PowerShell: Managing, configuring and modifying Computer objects. Part 1

Lecture 114 PowerShell: Managing, configuring and modifying Computer objects. Part 2

Section 4: Part 2

Lecture 115 Course Overview

Lecture 116 Section Overview

Lecture 117 Overview of domain and forest boundaries in an AD DS structure

Lecture 118 Why implement multiple domains?

Lecture 119 Why implement multiple forests?

Lecture 120 Deploying a domain controller in Azure IaaS

Lecture 121 Managing objects in complex AD DS deployments

Lecture 122 Deploying a distributed AD DS environment. Section Overview

Lecture 123 AD DS domain functional levels

Lecture 124 AD DS forest functional levels

Lecture 125 Demo: New domain and functional levels in Windows Server 2025

Lecture 126 Deploying new AD DS domains

Lecture 127 Considerations for implementing complex AD DS environments

Lecture 128 Demo: Installing a domain controller in a new domain in an existing forest

Lecture 129 Upgrading a previous version of AD DS to Windows Server 2016

Lecture 130 Migrating to Windows Server 2016 AD DS from a previous version

Lecture 131 Configuring AD DS trusts. Section Overview

Lecture 132 Overview of different AD DS trust types

Lecture 133 How trusts work in a forest

Lecture 134 How trusts work between forests

Lecture 135 Configuring advanced AD DS trust settings

Lecture 136 Course Overview

Lecture 137 Section Overview

Lecture 138 What are AD DS partitions?

Lecture 139 Characteristics of AD DS replication

Lecture 140 How AD DS replication works within a site

Lecture 141 Resolving replication conflicts

Lecture 142 How replication topology is generated

Lecture 143 How SYSVOL replication works

Lecture 144 Configuring AD DS sites Section Overview

Lecture 145 What are AD DS sites?

Lecture 146 Why implement additional sites?

Lecture 147 How replication works between sites

Lecture 148 What is the ISTG?

Lecture 149 Overview of SRV records

Lecture 150 How client computers locate domain controllers within sites

Lecture 151 Moving domain controllers between sites

Lecture 152 Configuring and monitoring AD DS replication Section Overview

Lecture 153 What are AD DS site links?

Lecture 154 What is site link bridging?

Lecture 155 What is universal group membership caching?

Lecture 156 Lab: Sites and Replication. Exercies and Tasks

Lecture 157 Lab: Sites and Replication. Solution

Section 5: Group Policy

Lecture 158 Course Overview

Lecture 159 What is Configuration Management

Lecture 160 Overview of Group Policy tools and consoles

Lecture 161 Computer Configuration and User Configuration

Lecture 162 Demonstration: Exploring Group Policy tools and consoles

Lecture 163 Benefits of using Group Policy

Lecture 164 Group Policy Objects

Lecture 165 Overview of GPO scope

Lecture 166 Overview of GPO inheritance

Lecture 167 The Group Policy Client service and client-side extensions

Lecture 168 What are domain-based GPOs?

Lecture 169 GPO storage

Lecture 170 What are starter GPOs?

Lecture 171 Common GPO management tasks

Lecture 172 Delegating administration of Group Policy

Lecture 173 Demo: Delegating administration of Group Policy

Lecture 174 Lesson 3: Group Policy scope and Group Policy processing

Lecture 175 What are GPO links?

Lecture 176 Group Policy processing order

Lecture 177 Configuring GPO inheritance and precedence

Lecture 178 Using security filtering to modify Group Policy scope

Lecture 179 What are WMI filters?

Lecture 180 How to enable or disable GPOs and GPO nodes

Lecture 181 Loopback policy processing

Lecture 182 Considerations for slow links and disconnected systems

Lecture 183 Identifying when settings become effective

Lecture 184 Lab A Tasks: Implementing a Group Policy infrastructure

Lecture 185 Lab A Solution: Implementing a Group Policy infrastructure

Lecture 186 Troubleshooting the application of GPOs Lesson Overview

Lecture 187 Refreshing GPOs

Lecture 188 What is RSoP and Generating RSoP Report

Lecture 189 Course Overview

Lecture 190 Section Overview

Lecture 191 What are administrative templates?

Lecture 192 What are .adm and .admx files?

Lecture 193 Overview of the central store

Lecture 194 Demonstration: Configuring settings with administrative templates

Lecture 195 Importing security templates

Lecture 196 Managing administrative templates

Lecture 197 Section Overview

Lecture 198 What is Folder Redirection?

Lecture 199 Settings for configuring Folder Redirection

Lecture 200 Security settings for redirected folders

Lecture 201 Demonstration: Configuring Folder Redirection

Lecture 202 Managing software with Group Policy

Lecture 203 Group Policy settings for applying scripts

Lecture 204 Demonstration: Configuring scripts with GPOs

Lecture 205 Section Overview

Lecture 206 What are Group Policy preferences? Comparing with Policy settings

Lecture 207 Features of Group Policy preferences

Lecture 208 Item-level targeting options

Lecture 209 Demonstration: Configuring Group Policy preferences

Lecture 210 Lab Tasks: Managing user settings with Group Policy

Lecture 211 Lab Solution: Managing user settings with Group Policy

Lecture 212 Lab Review: Managing user settings with Group Policy

Section 6: Securing domain controllers

Lecture 213 Section Overview

Lecture 214 Security risks that can affect domain controllers

Lecture 215 Demo: Installing and Using Nmap for Network Scanning and Vulnerability Assess

Lecture 216 Modifying the security settings of domain controllers

Lecture 217 Demo Example 1: Configuring and Verifying Domain Controller Security Policies

Lecture 218 Demo Example 2: Configuring Custom Security Policies for Domain Controllers

Lecture 219 Benefits of Custom GPOs for Domain Controllers: Best Practices and Consideration

Lecture 220 Implementing secure authentication

Lecture 221 Securing physical access to domain controllers

Lecture 222 What are RODCs?

Lecture 223 Deploying an RODC

Lecture 224 Planning and configuring an RODC password replication policy

Lecture 225 Demonstration: Configuring a password replication policy

Lecture 226 Separating RODC local administration

Lecture 227 Best Practices for Securing Active Directory

Lecture 228 Section Overview

Lecture 229 Password policies

Lecture 230 Account lockout policies

Lecture 231 Kerberos policies

Lecture 232 Demonstration: Configuring a fine-grained password policy

Lecture 233 Protecting groups in AD DS

Lecture 234 Fine-grained password and lockout policies

Lecture 235 Tools for creating PSOs

Lecture 236 Demonstration: Configuring authentication-related audit policies and viewing log

Lecture 237 PSO precedence and resultant PSO

Lecture 238 Account-security options

Lecture 239 Configuring user account policies

Lecture 240 Account logon and logon events skdlfdklsj lksdjflkdsjflkj lksdjfldsakjflkj dslkj

Lecture 241 Demonstration: Configuring authentication-related audit policies and viewing log

Lecture 242 Scoping audit policies

Lecture 243 Section Overview

Lecture 244 Overview of service accounts

Lecture 245 Challenges of using service accounts

Lecture 246 Overview of managed service accounts

Lecture 247 What are group MSAs?

Lecture 248 Demonstration: Configuring group MSAs

Lecture 249 Lab: Securing AD DS Exercises and Tasks

Lecture 250 Lab: Securing AD DS. Solution. Part 1

Lecture 251 Lab: Securing AD DS. Solution. Part 2

Lecture 252 Lab Review

Lecture 253 Module Review and Takeaways

Lecture 254 Plan Your Progress

Lecture 255 Course Overview

Lecture 256 Section Overview: Deploying CAs

Lecture 257 What is AD CS?

Lecture 258 Options for implementing CA hierarchies

Lecture 259 Standalone vs. enterprise CAs

Lecture 260 Considerations for deploying a root CA

Lecture 261 Demonstration: Deploying an enterprise root CA

Lecture 262 Considerations for deploying a subordinate CA

Lecture 263 How to use the CAPolicy.inf file for installing a CA

Lecture 264 Section Overview: Administering CAs

Lecture 265 Managing CAs

Lecture 266 Configuring CA security

Lecture 267 Security roles for CA administration

Lecture 268 Configuring CA policy and exit modules

Lecture 269 Configuring CDPs and AIA locations

Lecture 270 Demonstration: Configuring CA properties

Lecture 271 Section Overview: Troubleshooting CAs

Lecture 272 Renewing a CA certificate

Lecture 273 Moving a root CA to another computer

Lecture 274 Monitoring CA operations

Lecture 275 Lab Task: Deploying and managing AD CS

Lecture 276 Lab Demonstration Steps: Deploying and managing AD CS

Lecture 277 Course Overview

Lecture 278 Course Overview

Lecture 279 Section Overview

Lecture 280 What are certificates and certificate templates

Lecture 281 Certificate template versions in Windows Server

Lecture 282 Configuring certificate template permissions

Lecture 283 Configuring certificate template settings

Lecture 284 Options for updating a certificate template

Lecture 285 Demonstration: Modifying and enabling a certificate template

Lecture 286 Assess Your Knowledge. Section Overview: Managing certificate

Lecture 287 Certificate enrollment methods

Lecture 288 Overview of certificate autoenrollment

Lecture 289 What is an enrollment agent?

Lecture 290 How does certificate revocation work?

Lecture 291 Overview of key archival and recovery

Lecture 292 Demonstration: Configuring a CA for key archival

Lecture 293 Using certificates for SSL

Lecture 294 Using certificates for digital signatures

Lecture 295 Using certificates for content encryption

Lecture 296 Demonstration: Signing a document digitally. Encrypting a file

Lecture 297 Lab: Deploying and using certificates

Lecture 298 Lab Demonstration Steps: Deploying and using certificates

Lecture 299 Module Review and Takeaways

Lecture 300 Building a PKI Lab Environment with Hyper-V and Base Image

Lecture 301 Configuring Offline Root Certification Authority

Lecture 302 Configuring Root CA Settings

Lecture 303 Installing IIS Web Server and Importing Root CA Certificate

Lecture 304 Configuring IIS Virtual Directory and Settings for PKI

Lecture 305 Setting Up an Enterprise Subordinate Certification Authority

Lecture 306 Configuring CRL and AIA Distribution Points on Subordinate CA

Lecture 307 Building a PKI infrastructure lab on Windows Server Core VMs

Lecture 308 Building a PKI infrastructure lab on Windows Server Core VMs.

Lecture 309 Building a PKI infrastructure lab on Windows Server Core VMs.

Lecture 310 Managing disks in Windows Server

Lecture 311 Selecting a disk type

Lecture 312 Selecting a file system

Lecture 313 Implementing ReFS

Lecture 314 Implementing ReFS with Powershell

Lecture 315 Using .vhd and .vhdx file types

Lecture 316 Using .vhd and .vhdx file types

Lecture 317 Working with Dynamic Volumes

Lecture 318 Working with Diskpart

Lecture 319 Lab Assignment: Configuring Local Storage

Lecture 320 Lab Solution: Configuring Local Storage

Lecture 321 Selecting a disk type

Lecture 322 What is RAID?

Lecture 323 RAID levels

Lecture 324 What is DAS?

Lecture 325 What is NAS?

Lecture 326 What is a SAN?

Lecture 327 Comparison and scenarios for usage

Lecture 328 Block-level storage vs. file-level storage

Lecture 329 What is Fibre Channel?

Lecture 330 Considerations for implementing Fibre Channel

Lecture 331 What is iSCSI?

Lecture 332 iSCSI components

Lecture 333 Core storage components

Lecture 334 Demo: Configuring an iSCSI target

Lecture 335 What is iSNS?

Lecture 336 What is DCB?

Lecture 337 What is MPIO?

Lecture 338 Demo: Configuring MPIO

Lecture 339 What is SMB?

Lecture 340 Configuring SMB shares

Lecture 341 Demo: Configuring SMB shares by using Server Manager and

Lecture 342 What is NFS?

Lecture 343 Configuring NFS shares

Lecture 344 Demo: Configuring an NFS share by using Server Manager

Lecture 345 Lab Assignment: Implementing enterprise storage solutions

Lecture 346 Lab Solution: Implementing enterprise storage solutions

Lecture 347 Enterprise storage needs

Lecture 348 What are Storage Spaces?

Lecture 349 Components and features of Storage Spaces

Lecture 350 Demonstration: Configuring Storage Spaces

Lecture 351 Changes to file and storage services in Windows Server

Lecture 352 Storage Spaces usage scenarios

Lecture 353 Discussion: Comparing Storage Spaces to other storage sol

Lecture 354 Managing Storage Spaces

Lecture 355 Managing disk failure with Storage Spaces

Lecture 356 Storage pool expansion

Lecture 357 Demonstration: Managing Storage Spaces by using Windows P

Lecture 358 Event logs and performance counters

Lecture 359 Event logs and performance counters. Part 2

Lecture 360 Performance counters

Lecture 361 Lab A Tasks: Implementing Storage Spaces. Execrcise 1

Lecture 362 Lab A Tasks: Implementing Storage Spaces. Execrcise 2

Lecture 363 Lab A Solution: Implementing Storage Spaces. Execrcise 1

Lecture 364 Lab A Solution: Implementing Storage Spaces. Execrcise 2

Lecture 365 What is Data Deduplication?

Lecture 366 Data Deduplication components

Lecture 367 Deploying Data Deduplication

Lecture 368 Usage scenarios for Data Deduplication

Lecture 369 Monitoring and maintaining Data Deduplication

Lecture 370 Backup and restore considerations with Data Deduplication

Lecture 371 Lab B Tasks: Implementing Data Deduplication

Lecture 372 Lab B Tasks: Implementing Data Deduplication

Lecture 373 Lab B Solution: Implementing Data Deduplication

Lecture 374 Module Introduction

Lecture 375 New Hyper-V host features in Windows Server

Lecture 376 New Hyper-V virtual machine features

Lecture 377 Lesson 3: Configuring storage on Hyper-V host servers

Lecture 378 Considerations for virtual hard disk formats and types

Lecture 379 Demo: Managing storage in Hyper-V

Lecture 380 Lesson 4: Types of Hyper-V networks

Lecture 381 Best Practices for configuring Hyper-V virtual networks

Lecture 382 New Hyper-V networking features in Windows Server

Lecture 383 Demo: Configuring Hyper-V networks

Lecture 384 Lesson 5: Configuring Hyper-V virtual machines

Lecture 385 Virtual machine generation versions

Lecture 386 Virtual machine settings

Lecture 387 VMs features and best practice

Lecture 388 Demo: Virtual machine configuration versions

Lecture 389 Demo: Creating a virtual machine

Lecture 390 Demo: Creating a virtual machine with Powershell

Lecture 391 Lesson 6: Managing virtual machines

Lecture 392 Managing checkpoints

Lecture 393 Demo: Creating checkpoints

Lecture 394 Importing and exporting virtual machines

Lecture 395 Demo: Live migration of a virtual machine

Lecture 396 What is Docker?

Lecture 397 Demo: Installing Docker

Lecture 398 Module Overview

Lecture 399 What is high availability?

Lecture 400 What is continuous and availability?

Lecture 401 Creating a disaster recovery plan

Lecture 402 Highly available networking and storage

Lecture 403 Lesson 2: Planning high availability and disaster recover

Lecture 404 High availability considerations with Hyper-V virtual mac

Lecture 405 Overview of Live Migration

Lecture 406 Providing high availability with storage migration

Lecture 407 Demo: Configuring live migration

Lecture 408 Overview of Hyper-V Replica

Lecture 409 Demo: Configuring storage migration. Implementing Hyper-V

Lecture 410 Lesson 3: Backing up and restoring by using Windows Serve

Lecture 411 Lesson 4: High Availability with failover clustering in W

Lecture 412 What is failover clustering?

Lecture 413 Course Introduction

Lecture 414 Key Considerations for Designing a Highly Available Failo

Lecture 415 Identifying and Preparing Applications for Failover Clust

Lecture 416 Storage Options and Requirements for Failover Clusters

Lecture 417 Hardware and Network Requirements for Failover Clustering

Lecture 418 Configuring Software, Security, and Migration for Failove

Lecture 419 Cluster Configuration: Properties, Nodes, and Failover/Fa

Lecture 420 Quorum Modes and Configuration in Failover Clustering

Lecture 421 Deploying and Configuring Failover Clusters

Lecture 422 Demo: Creating a failover cluster

Lecture 423 Configuring Storage and Networking for Failover Clusters

Lecture 424 Setting Up and Administering Failover Clustering Roles

Lecture 425 Demo: Creating a general file-server failover cluster

Lecture 426 Configuring Cluster Quorum Settings

Lecture 427 Demo: Configuring the quorum

Lecture 428 Monitoring, Backing Up, and Maintaining Failover Clusters

Lecture 429 Demo: Configure failover and failback settings

Lecture 430 Failover Cluster Maintenance - Backup, Recovery, and Trou

Lecture 431 Optimizing Network Thresholds and Monitoring for Cluster

Lecture 432 Zero Downtime OS Updates Using Cluster-Aware Updating

Lecture 433 Demo: Configuring CAU

Lecture 434 Identifying and Resolving Failover Cluster Communication

Lecture 435 Troubleshooting Cluster Availability Issues Related to CN

Lecture 436 Monitoring and Diagnostic Tools for Failover Cluster Mana

Lecture 437 Deploying Stretch Clusters for Site Resiliency

Lecture 438 Deploying Highly Available Stretched Clusters Across Loca

Lecture 439 Understanding Synchronous vs Asynchronous Replication for

Lecture 440 Using Storage Replica for Stretched Clusters and Replicat

Lecture 441 Witness Selection for Site-Aware Stretched Failover Clust

Lecture 442 Implementing Site-Aware Failover Clustering

Lecture 443 Failover and Failback Procedures for Stretched Clusters

Lecture 444 Course intro

Lecture 445 What is NLB?

Lecture 446 Deployment requirements for NLB

Lecture 447 Network considerations for NLB

Lecture 448 Configuration options for NLB

Lecture 449 Designing applications and storage support for NLB

Lecture 450 Considerations for deploying an NLB cluster on virtual ma

Lecture 451 Considerations for securing NLB

Lecture 452 Considerations for scaling and upgrading NLB

Lecture 453 Demo: Implementing NLB

Lecture 454 Introduction

Lecture 455 Hands-On Lab Overview

Lecture 456 Hands-On Lab Part 1

Lecture 457 Hands-On Lab Part 2

Lecture 458 Hands-On Lab Part 3

Lecture 459 Hands-On Lab Part 4

Section 7: Linux

Lecture 460 Changing the directories, inspecting the system, examinin

Lecture 461 Displaying and setting time and date. Part 1

Lecture 462 Displaying and setting time and date. Part 2

Lecture 463 Getting device information and using compression/archivin

Lecture 464 Getting help (continued)

Lecture 465 Path and file types

Lecture 466 Creating files or directories and listing files or direct

Lecture 467 Copying, moving, renaming, removing files and directories

Lecture 468 File and directory control attributes

Lecture 469 Finding files. Part 1

Lecture 470 Finding files. Part 2

Lecture 471 Finding files. Part 3

Lecture 472 Finding files. Part 4

Lecture 473 Hands-On Task Demo: Finding Large Files and Creating a Lo

Lecture 474 File permissions. Part 1

Lecture 475 File permissions. Part 2

Lecture 476 Permissions for group collaboration

Lecture 477 Hands-On Task Demo: Configuring Linux Permissions for a D

Lecture 478 Getting Started with Vim Basics

Lecture 479 Creating, opening and saving a file. Moving around VIM ed

Lecture 480 Getting help in VIM

Lecture 481 Creating the first file in vim

Lecture 482 Basic vim commands

Lecture 483 VIM motion commands and search

Lecture 484 Opening and saving files in VIM

Lecture 485 Opening multiple files and splitting windows

Lecture 486 Switching between windows

Lecture 487 Introduction to Basic Navigation in Vim

Lecture 488 Hands-on Practice: Vim Installation and Basic Navigation

Lecture 489 Fundamentals of Editing in Vim

Lecture 490 Basic Vim Navigation

Lecture 491 Advanced Vim Navigation

Lecture 492 Vim Search and Replace

Lecture 493 Vim Copy and Insert

Lecture 494 Vim Fundamentals: A Comprehensive Review of Core Concepts

Lecture 495 Overview of Exercise Lessons. What will we learn?

Lecture 496 Exercise 1: Editing in Vim

Lecture 497 Exercise 2: Editing in Vim

Lecture 498 Exercise 3: Editing in Vim

Lecture 499 Navigating and Editing Multiple Files in Vim

Lecture 500 Advanced Vim Techniques for Managing Multiple Files

Lecture 501 Searching the needed info with grep&wc

Lecture 502 Cat and output redirection

Lecture 503 Using pipes

Lecture 504 Processes revealed

Lecture 505 Processes and jobs

Lecture 506 Exploring all running processes with top command

Lecture 507 Understanding process states

Lecture 508 Changing process priority with nice

Lecture 509 Controlling processes with signals

Lecture 510 Changing password with passwd and working withPATH

Lecture 511 Special characters and command-line keystrokes

Lecture 512 Chaining operators

Lecture 513 Sed and awk

Lecture 514 Sed and awk. Part 2

Lecture 515 Performing exit, reboot or shutdown on the system

Lecture 516 Using BASH history

Lecture 517 Using aliases to create your own commands

Lecture 518 Watching files and how they're changing live with watch c

Lecture 519 Gaining administrative privileges with sudo command

Lecture 520 Understanding Job Scheduling with cron and at commnds

Lecture 521 Packages overview

Lecture 522 Managing packages with rpm command

Lecture 523 Installing and modifying packages with rpm command

Lecture 524 Viewing pgp keys and verifying package attributes

Lecture 525 YUM package manager. Part 1

Lecture 526 YUM package manager. Part 2

Lecture 527 YUM package manager. Part 3

Lecture 528 Configuring hostname

Lecture 529 IPv4 concepts and traceroute command usage

Lecture 530 Using 'ip' command

Lecture 531 Validating and Troubleshooting Network Configuration

Lecture 532 Practice Lab: Examining Network Configuration

Lecture 533 Configuring Networking with nmcli

Lecture 534 Validating Network Configuration (with Guided Exercise)(

Lecture 535 Editing Network Configuration Files (with Guided Exercise

Lecture 536 Lab: Managing Networking

Lecture 537 Installing RHEL9

Lecture 538 Registering RHEL9

Lecture 539 Users: Intro, id command, passwd file

Lecture 540 Users: Gaining Superuser Access. su and sudo commands

Lecture 541 Users: Configuring sudo

Lecture 542 Users: Guided Exercise Using sudo

Lecture 543 Users: Using useradd, userdel and usermod

Lecture 544 Users: Practice excersise with useradd, userdel and userm

Lecture 545 Groups: groupadd, groupdel and groupmod

Lecture 546 Groups: adding users to groups

Lecture 547 Users: working with passwords

Lecture 548 Users: Practice. Working with passwords

Lecture 549 Lab: Managing Users and Groups

Lecture 550 File permissions

Lecture 551 Changing Permissions for Files and Directories

Lecture 552 Changing Ownership for Files and Directories

Lecture 553 Guided Exercise: Managing File System Permissions from th

Lecture 554 Umask and Managing Default Permissions and File Access

Lecture 555 Guided Exercise: Umask and Managing Default Permissions

Lecture 556 Lab: Controlling Access to Files

Lecture 557 Listing Processes and Process States. PS command options

Lecture 558 Controlling Jobs

Lecture 559 Guided Exercise: Controlling Jobs

Lecture 560 Killing Processes

Lecture 561 Monitoring process activity

Lecture 562 Lab: Monitoring and Managing Processes

Lecture 563 Controlling Services and Daemons

Lecture 564 Controlling Services and Daemons: Guided Exercises

Lecture 565 Accessing Comand Line with SSH

Lecture 566 Configuring SSH key-based authentication

Lecture 567 Configuring and securing SSH

Lecture 568 Describing System Log Architechture

Lecture 569 Reviewing Syslog Files

Lecture 570 Reviewing System Journal Entries

Lecture 571 Preserving the System Journal

Lecture 572 Maintaining Accurate Time

Lecture 573 Lab: Analyzing and Storing Logs

Lecture 574 Archiving and Compressing Files

Lecture 575 Transferring Files Between Systems Securely

Lecture 576 Using 'at' Package

Lecture 577 Scheduling Recurring Tasks with 'crontab'

Lecture 578 Scheduling Recurring System Jobs

Lecture 579 Guided Exercise: Scheduling Recurring System Jobs

Lecture 580 Managing Temporary Files

Lecture 581 Guided Exercise: Managing Temporary Files

Lecture 582 Adjusting Tuning Profiles

Lecture 583 Adjusting Process Scheduling

Lecture 584 Guided Exercise: Changing Process Scheduling

Lecture 585 Interpreting File ACLs

Lecture 586 Securing Files with ACLs

Lecture 587 Guided Exercise: Securing Files with ACLs

Lecture 588 Adding Partitions, File Systems, and Persistent Mounts

Lecture 589 Guided Exercise: Adding Partitions, File Systems, and Per

Lecture 590 Managing Swap Space

Lecture 591 Lab: Managing Basic Storage

Lecture 592 Managing Logical Volumes

Lecture 593 Extending Logical Volumes

Lecture 594 Guided Exercise: Extending Logical Volumes

Lecture 595 Lab: Managing Logical Volumes

Lecture 596 Managing Layered Storage with Stratis

Lecture 597 Guided Exercise: Managing Layered Storage with Stratis

Lecture 598 Compresson and Deduplicating Storage with VDO

Lecture 599 Lab: Implementing Advanced Stirage Features

Lecture 600 Accessing Network-Attached Storage

Lecture 601 Guided Exercise: Accessing Network-Attached Storage

Lecture 602 Describing the Boot Process

Lecture 603 Guided Exercise: Selecting the Boot Target

Lecture 604 Guided Exercise:Resetting the Root Password. Using Debug

Lecture 605 Lab: Controlling the Boot Process

Lecture 606 Describing Networking Concepts

Lecture 607 IPv4 settings. Defining subnets

Lecture 608 IPv4 Guided Exercises. Public and Private Adresses

Lecture 609 Lab: Planning an IPv4 network

Lecture 610 Using OpenSSL on Red Hat Linux to Create, Operate, and Se

Lecture 611 Creating Certificate Authority (Self-Signed)

Lecture 612 Hands-On Lab on OpenSSL

Lecture 613 Administration and Monitoring with udevadm

Lecture 614 UDEV Configuration and Device Management

Lecture 615 Kernel Module Management: Using modprobe and rmmod

Lecture 616 Installation and Package Management Troubleshooting

Lecture 617 USB Device Detection and Management in Linux: Using lsusb

Lecture 618 Using dmesg for System Monitoring and Troubleshooting in

Lecture 619 Understanding Linux Run Levels: System Maintenance and Tr

Lecture 620 Questions 1 -2: Using 'udevadm' and '/proc'

Lecture 621 Questions 3 -4: udev Configuration Location. Loading kern

Lecture 622 Questions 5- 6. Querying udev database. Listing USB devic

Lecture 623 Question 7: Using dmesg to view kernel ring buffer

Lecture 624 Writing Simple Bash Scripts

Lecture 625 Guided Exercise: Writing Your First Script

Lecture 626 Using Loops

Lecture 627 Guided Exercise: Using Loops

Lecture 628 Describing a Simple Regular Expression

Lecture 629 Guided Exercise: Using grep with RegEx

Lecture 630 Using grep with RegEx

Lecture 631 Lab: Your First Script

Lecture 632 Building Scripts: Using Variables and Redirecting Input/O

Lecture 633 Building Scripts: the if-then statements

Lecture 634 Building Scripts: Trying the Test command. Using Comparis

Lecture 635 Building Scripts: Using File Comparison

Lecture 636 Compound Testing. Working wit Advanced If-Then Statements

Lecture 637 A Practical Example

Lecture 638 Looping with the 'for' statement

Lecture 639 Looping with the 'for' statement. Part 2

Lecture 640 Using 'while' and 'until' commands. Using Loops

Lecture 641 Using Loops. Part 2

Lecture 642 Practical Examples Using Loops

Lecture 643 Passing Parameters

Lecture 644 Using Special Parameter Variables

Lecture 645 Working with Options

Lecture 646 Using Read Command

Lecture 647 A Practical Example

Lecture 648 Understanding Input and Output

Lecture 649 Redirecting Output in Scripts

Lecture 650 Read/Write file descriptors

Lecture 651 Supressing Command Output. Using temp files. Logging Mess

Lecture 652 A practical example: using input and output

Lecture 653 Signaling the Bash shell

Lecture 654 Using traps

Lecture 655 Running scripts in background

Lecture 656 Running Scripts without a Hang-up

Lecture 657 Controlling the Job. Viewing Jobs

Lecture 658 Your First Bash Script. Part 1

Lecture 659 Your First Bash Script. Part 2

Lecture 660 Bash Syntax Fundamentals. Part 1

Lecture 661 Bash Syntax Fundamentals. Part 2

Lecture 662 Bash Syntax Fundamentals. Part 3

Lecture 663 Working with Files and Permissions. Part 1

Lecture 664 Working with Files and Permissions. Part 2

Lecture 665 Working with Files and Permissions. Part 3

Lecture 666 Script Example: File Operations and Bash Concepts

Lecture 667 'if' Statement. Part 1

Lecture 668 'if' Statement. Part 2

Lecture 669 Loops in Bash. Part 1

Lecture 670 Loops in Bash. Part 2

Lecture 671 Hands-on Lab: Interactive Menu Script. Part 1

Lecture 672 Hands-on Lab: Interactive Menu Script. Part 2

Lecture 673 Hands-on Lab: Linux Administration Interactive Menu Scrip

Lecture 674 Hands-on Lab: Linux Administration Interactive Menu Scrip

Lecture 675 Functions in Bash. Part 1

Lecture 676 Functions in Bash. Part 2

Lecture 677 Error Handling and Debugging in Bash. Part 1

Lecture 678 Error Handling and Debugging in Bash. Part 2

Lecture 679 Error Handling and Debugging in Bash. Part 3

Lecture 680 Advanced Bash Scripting Techniques - Examples Explained.

Lecture 681 Advanced Bash Scripting Techniques - Examples Explained.

Lecture 682 Advanced Bash Scripting Techniques - Examples Explained.

Lecture 683 Advanced Bash Scripting Techniques - Practical Example Wa

Lecture 684 Bash Script Optimization and Performance. Part 1

Lecture 685 Bash Script Optimization and Performance. Part 2

Lecture 686 Bash Script Optimization and Performance. Part 3

Lecture 687 Bash Script Optimization and Performance. Part 4

Lecture 688 Bash Script Optimization and Performance. Practical Examp

Lecture 689 Intro to Vagrant

Lecture 690 Getting Installed

Lecture 691 Using Vagrant

Lecture 692 Using Vagrant. Part 2

Lecture 693 Using Vagrant. Part 3

Lecture 694 Using Vagrant. Part 4

Lecture 695 Using Vagrant. Part 5

Lecture 696 Using Vagrant. Part 6

Lecture 697 Using Vagrant. Part 7

Lecture 698 Using Vagrant. Part 8

Lecture 699 Creating VM in RHEL cockpit

Lecture 700 Configuring VMs

Lecture 701 Configuring the prerequisites on managed hosts

Lecture 702 Setting up SSH Key-based Authentication

Lecture 703 What is an Ansible Inventory?

Lecture 704 Building an Ansible Inventory

Lecture 705 Using Ansible Ad-Hoc Commands

Lecture 706 Ansible Ad-Hoc Commands: A Practical Demonstration

Lecture 707 Guided Exercise: Ansible Ad-Hoc Commands in Practice

Lecture 708 Intro to Ansible

Lecture 709 Getting Installed

Lecture 710 Configuring SSH

Lecture 711 Getting inventory

Lecture 712 Using modules

Lecture 713 Starting with Playbooks

Lecture 714 Starting with Playbooks. Part 2

Lecture 715 Starting with Playbooks. Part 3

Lecture 716 Starting with Playbooks. Part 4

Lecture 717 Building Ansible Lab Environment

Lecture 718 Describing Ansible Inventory Files

Lecture 719 Guided Exercise: Ansible Inventory Files

Lecture 720 Managing Ansible Configuaration Files

Lecture 721 Managing Connectivity and Configuaration Files

Lecture 722 Guided Exercise: Managing Ansible Configuaration Files

Lecture 723 Running Ad Hoc Commands

Lecture 724 Guided Exercise: Running Ad Hoc Commands

Lecture 725 Lab: Deploying Ansible

Lecture 726 Implementing Playbooks

Lecture 727 Guided Exercise: Implementing Playbooks

Lecture 728 Multiple Plays

Lecture 729 Guided Exercise: Multiple Plays

Lecture 730 Lab: Implementing Playbooks

Lecture 731 Managing Variables

Lecture 732 Guided Exercise: Managing Variables

Lecture 733 Managing Secrets

Lecture 734 Guided Exercise: Managing Secrets

Lecture 735 Managing Facts

Lecture 736 Guided Exercise: Managing Facts

Lecture 737 Lab: Managing Variables and Facts

Lecture 738 Writing Loops and Conditional Tasks

Lecture 739 Guided Exercise: Writing Loops and Conditional Tasks

Lecture 740 Implementing Handlers

Lecture 741 Handling Task Failure

Lecture 742 Guided Exercise: Handling Task Failure

Lecture 743 Guided Lab:Implementing Task Control

Lecture 744 Intro

Lecture 745 Getting Installed

Lecture 746 Configuring Git

Lecture 747 Your First Commit

Lecture 748 Using Push

Lecture 749 Clone and Pull

Lecture 750 Use Ignore

Lecture 751 History

Lecture 752 Use Branches

Section 8: Powershell

Lecture 753 Course overview

Lecture 754 Overview of Part 1

Lecture 755 Powershell Overview

Lecture 756 Powershell Versions

Lecture 757 Get to know Two Host Applications

Lecture 758 What Version are You Using

Lecture 759 Always Run the Shell as Administrator

Lecture 760 Tips and Tricks

Lecture 761 Configuring the Console

Lecture 762 Configuring the Console (demo)

Lecture 763 Configuring the ISE

Lecture 764 Configuring the ISE (demo)

Lecture 765 LAB 1 Exercise 1

Lecture 766 LAB 1 Exercise 1 Answer Video

Lecture 767 LAB 1 Exercise 2

Lecture 768 LAB 1 Exercise 2 Answer Video

Lecture 769 LAB Review

Lecture 770 Part 2 Overview

Lecture 771 Commands that Seem Familiar

Lecture 772 Learning Commands Syntax

Lecture 773 Viewing Help (demo)

Lecture 774 Finding Commands

Lecture 775 Finding Commands (demo)

Lecture 776 Interpreting Help

Lecture 777 Updating Help

Lecture 778 Updating and saving help files

Lecture 779 Demo: Updating and saving help files

Lecture 780 About Files

Lecture 781 About Files (demo)

Lecture 782 Part 3 Overview

Lecture 783 Full Command Syntax

Lecture 784 Specifying Multiple Parameter Value

Lecture 785 Shortened Command Syntax

Lecture 786 Show-Command Command

Lecture 787 Commands that Modify the System

Lecture 788 Show-Command (demo)

Lecture 789 Commands that Modify the System (demo)

Lecture 790 Lab B: Finding and Running Basic Commands Tasks

Lecture 791 Lab B Solution: Finding and Running Basic Commands

Lecture 792 Module Review and Takeaways

Lecture 793 Course overview

Lecture 794 Part 1 Overview

Lecture 795 Understanding the Pipeline. Part 1. Lesson 1

Lecture 796 Understanding the Pipeline. Part 1. Lesson 2

Lecture 797 Understanding the Pipeline. Part 1. Lesson 3

Lecture 798 Understanding the Pipeline. Part 1. Lesson 4

Lecture 799 Understanding the Pipeline. Part 1. Lesson 5

Lecture 800 Understanding the Pipeline. Part 1. Lesson 6

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Namaste Frontend System Design
Released 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 99 Lessons ( 72h 32m ) | Size: 28.3 GB


[center]
From Zero to Hero ?

[/center]
Practical Learning

Structured In-depth Curriculum

Private Frontend Experts Community Access

Interview Preparation Content

Advanced Frontend Learning

Namaste Frontend System Design - Certificate

Five Year access to all Course Content

The mission of this course is to take you from Zero to Hero in Frontend System Design. During this journey, you will learn everything by watching video tutorials and learning through practical examples from real-world applications.
The curriculum is designed with the principle of `learn with real application examples`, so there will be a lot of knowledge heavy topics that you'll learn from. So only register if you are ready for a grind.
Namaste FSD course will help you with all the knowledge you need to design scalable Frontend web application and will also help you crack your next Frontend System Design Interview. Register Now.

Who This Course Is for
College Students

It is not expected from college students / freshers to design systems, hence this course might not be relevant for you. But if you're interested to dive deep into the world of frontend and you're curious about how large frontend systems are built,

feel free to join!

Early Engineers

If you have ~1 year of experience, then you probably won't be designing systems in your job yet. But it's a good-to-have course so that you can start learning advanced frontend topics.

It will definitely help you to accelerate your career. ?

Senior Engineers

We highly recommend you this course if you are a Senior Frontend Engineer. We cover a lot of advanced frontend concepts which will help you shape your career.

It will also be very helpful for your FSD interviews. ?

Code:
https://anonymz.com/?https://namastedev.com/learn/namaste-frontend-system-design

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54 Days of Tableau Complete Masterclass
Published 8/2024
Created by Art of Visualization
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 414 Lectures ( 49h 8m ) | Size: 25 GB


[center]
Learn all Tableau aspects from Basic to Advanced and understand best visualisation principles

[/center]


[b]What you'll learn
:
[/b]
Learn how to solve Real-Life Business, Industry and World challenges using Tableau
How and when to use different chart types such as Heatmaps, Bullet Graphs, Bar-in-bar charts, Dual Axis Charts and more!
Tableau fundamentals - Discrete vs Continuous fields, Dimensions vs Measures, Aggregation and Granularity, etc
How to Organize & Simplify your data in Tableau: Computed sort, Manual sort, Hierarchies, Groups vs Sets, Dynamic sets, Static sets, etc
Analytics in Tableau: Reference Lines, Reference Bands, Trend Lines, Instant Analytics, Box Plots, Forecasting, etc
How to do Data Prep in Tableau: Joins, Blends, Unions, Pivots, Wildcards, Merging Mismatched Fields, Using Calculations in Join clauses, etc
Mapping techniques: Layering, Lasso, Radial Selection, Custom Territories, Dual Axis Maps
Calculations: Arithmetic, String & Date Calculations, Logic Statements, Calculations with Parameters, Calculations in a Blend, etc
When & How to use Table Calculations: Percent of Total, Rank, Running Total, Scope & Direction of Table Calculations and more!
Level Of Detail (LOD) Expressions: FIXED, INCLUDE, EXCLUDE, The LOD Planning Technique, ATTR() function, Order of Operations & LODs and more!
Dashboard Actions: Filter / Highlight / Parameter / Set Actions, Worksheet Actions, and more!
Evaluate and improve poorly designed visualizations, simplifying dual-axis charts and other complex visual elements.
Apply advanced table calculations and Level of Detail (LOD) expressions for complex data analysis.
Perform cross-database joins and other advanced data connections to prepare comprehensive datasets.
Solve technical questions related to expert-level Tableau functionalities, including top-end analysis and data blending.
Create interactive dashboards that effectively deliver insights, incorporating multiple views and best practices.
Build compelling data stories that clearly communicate insights, following exam guidelines.

Requirements:
You should have access to Tableau software.

Description:
Starting from scratch or building on existing skills? No matter the skill level, this course builds up your Tableau, visualization, and BI skills to the next level, and supports your growth with one-on-one mentorship with industry experts.This program consists of two stages. First master every aspect of Tableau - charts, groups, sets, LOD expressions, advanced calculations, analytics, maps, dashboards, actions, data transformation techniques and more.Skyrocket your Career by learningTableau !Tableau is, perhaps, the most powerful & popular tool for data visualization.So... Do you want to become an expert in Tableau ?You've come to the right place...In this course you will learn everything you need to know to learn Tableau from A to Z. You don't need to be an expert to learn the Tableau.This course covers every single topic from the official exam preparation guide:Tableau FundamentalsData ConnectionsOrganizing & Simplifying DataField & Chart TypesCalculationsMappingAnalyticsDashboards...and more!Wait! There's more! - EPIC Datasets!This isn't one of those boring courses with the same dataset that you've seen a Million times before.NO.Hands-On Experienceis one of the most important things in Data Science / Business Intelligence / Data Analytics work.In fact, often the Dataset is at least as important as the concept you are learning! Right?!That's why for this course we've specifically curated some of themost exciting datasetsyou will ever find!Almost every section comes with a New Dataset & a New Challenge.You will GET Hooked By this course!Plus, the datasets come from some of the kick-butt companies! Check this out:SpotifyThe NBARotten TomatoesKaggleWorldBankGlassdoorAirbnb...and more!Not enough awesomeness for you? Enough?Doesn't matter! There's more anyway :)With this course you will getTONS of Practice:dozens of mini-challenges, quizzes, homework exercises, exam tips, and additional resources.Best. Tableau. Course. You. Will. Ever. Find. Boom!

Who this course is for:
Take this course if you want to learn Tableau completely from scratch
Take this course if you want to Boost your Career by becoming Tableau Certified!
Take this course if you are an advanced user who wants to make sure there are ZERO Gaps in your Tableau knowledge
Take this course if you love Hands-On Challenges with Super-Exciting Datasets! (Uniquely curated for this course)
Data Analysts who want to master advanced Tableau techniques and achieve the Tableau Certified Professional certification.
Business Intelligence Professionals seeking to elevate their data visualization skills to a professional level.


Homepage
Code:
https://www.udemy.com/course/tableau-complete-masterclass/

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CBTNuggets - Introduction to Deep Learning
Released 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 280 Lessons ( 30h 43m ) | Size: 20.4 GB


[center]
This deep learning training equips junior data scientists with the expertise needed to implement deep learning solutions for their organization's specific needs. Building on the principles of machine learning, this course provides an introduction to deep learning, focusing on image data using computer vision (CV), text data using natural language processing (NLP), and time-series data for predictive modeling.

[/center]
This course will not only teach you how to use TensorFlow for image and text classification, it will also help you gain an understanding of Large Language Models (LLMs).

For anyone with junior data scientists on their team, this data science training can be used to onboard new junior data scientists, curated into individual or team training plans, or as a data science reference resource.

After completing this deep learning training, you'll know how to describe deep learning methods and techniques well enough to begin implementing deep learning solutions for your organization's unique needs.

Introduction to Deep Learning: What You Need to Know
This deep learning training has videos that cover topics including

Building and training neural networks for image and text classification
Learning the differences between machine learning and deep learning, and when to use one over the other
Understanding Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) techniques
Evaluating and optimizing deep learning models using pre-trained models from TensorFlow, Google, and Kaggle

Who Should Take Introduction to Deep Learning Training?
This deep learning training is considered associate-level data science training, which means it was designed for data scientists who have a basic understanding of Python programming and machine learning concepts, including supervised and unsupervised learning.

New or aspiring junior data scientists. If you're a brand new data scientist, this deep learning course can be used to start your career off on the right foot. Gain hands-on experience with deep learning and learn valuable skills you can use to solve complex problems in image and text analysis.

Experienced junior data scientists. Data scientists with a few years of experience have likely encountered deep learning tools or implementations. You may have even struggled through them on your own. This deep learning training will help you bring more value to your organization by augmenting your skills in Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) for computer vision tasks and text classification analysis.

Code:
https://anonymz.com/?https://www.cbtnuggets.com/it-training/data-science/introduction-deep-learning

[Image: 509029245_introduction_to_deep_learning.jpg]

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[NEW] Spring Framework 6: Beginner to Guru
Last updated 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 43h 8m | Size: 37.4 GB

All Things Spring! Spring Framework 6, Spring Boot 3, Spring AI, Spring MVC, Spring Data JPA, Spring Security, OAuth/JWT



What you'll learn
Learn to Build a Spring Boot Web Applications with Spring Boot 3, Spring Framework 6 and Java 21
Create RESTful Web Services using SpringMVC, Spring Webflux, Spring WebFlux-fn, and Spring Data REST
Secure APIs with Spring Security, OAuth 2.0, and JWT using Spring Authorization Server
Consume RESTful APIs using Spring RestTemplate, Spring WebClient, and Spring RestClient (new in Spring 6.2)
Use Spring Data JPA with Hibernate, Spring Data Mongo, and Spring Data R2DBC
Test Spring MVC using Spring MockMVC, JUnit 5, and Mockito
How to Use and Configure Spring Authorization Server
Run Spring Boot Applications with Docker, Docker Compose, and Kuberentes
How to Access a MySQL Database with Spring Boot
Use Flyway for Database Migrations
Use Project Lombok and MapStruct to Speed Up Your Development
Configure HTTP Basic Auth with Spring Security
Learn Functional Reactive Programming
How to Configure Spring Cloud Gateway
Validate Data using Bean Validation


Requirements
Basic Java knowledge is required
HTTP and HTML Knowledge is very helpful
Knowledge of SQL and databases is helpful


Description
This course is All Things Spring!Do you wish to master Spring Framework 6 and Spring Boot 3? Then this is the course for you. This course is for developers with no previous Spring Framework or Spring Boot experience. You will master developing RESTful APIs with Spring Framework. Spring has three different options of creating RESTFul APIs:Spring MVC, Spring WebFlux, and Spring WebFlux.fn. You will see how to use each, and how to secure each using OAuth 2.0 with JWT. Also covered in the course are popular persistence technologies. You will learn to use Spring Data JPA with Hibernate, Spring Data MongoDB, and Reactive with Spring R2DBC.All examples in the course use Java 21 and Spring Boot 3.3.0.Inside this course, you will learn about:Build a Spring Boot Web AppUse Spring for Dependency InjectionCreate RESTful Web Services with Spring MVCCreate RESTful Web Services with Spring WebfluxCreate RESTful Web Services with Spring Webflux.fnLearn Best Practices using Project Lombok with SpringCreate MapStruct Mappers as Spring ComponentsSpring MockMVC with Mockito and JUnit 5Spring Data JPASpring Data MongoDBSpring Data R2DBC (Reactive)Spring RestTemplateSpring RestClientSpring WebClientSpring WebTestClientSpring Security HTTPBasic Authentication Spring Security OAuth2 Authentication w/ JWTSpring Authorization ServerSpring WebMVC OAuth2 Resource Server Spring WebFlux OAuth2 Resource ServerSpring Cloud GatewaySpring Boot ActuatorSpring AISpring Caching Spring Boot Maven PluginSpring Boot Gradle PluginUse Java Bean Validation with SpringSpring Boot Auto-Configuration with MySQLUse Spring Boot and Flyway for Database Migrations Hibernate Database Relationship Mapping with Spring Data JPABuild Docker Images using Spring BootRun Spring Boot Applications in Docker ContainersUse Docker Compose to run Spring Boot ApplicationsDeploy Spring Boot Applications to KubernetesSpring AI - Learn to use OpenAI with Spring!This is the first major Spring course to include a section on Spring AI. You will learn how to leverage OpenAI's ChatGPT API using Spring AI.Course UpdatesApril 2024 - Introduction to Spring AIadded to CourseMay 2024 - Course Updated to Java 21 and Spring Boot version 3.3.0May 2024 - Spring RestClient - NEW to Spring Framework 6.1June 2024 - Using Spring Boot with Docker, Docker Compose and Kubernetes Spring CoreAt the core of the Spring Framework is the Spring IoC Container. Inversion of Control is a design pattern where control is inverted compared to procedural programming. In procedural programming, the software calls reusable components to complete tasks. In contrast, with IoC it is the framework which calls the reusable libraries. Development with IoC becomes very efficient since the focus is more on the custom business logic and common logic is left to the framework to perform.Spring MVCSpringMVC is Spring Framework's original web application framework. Spring MVCimplements the model-view-controller design pattern, where a model (data) is shared with with a controller which presents the data to the end user in the view (HTML, JSON, XML, etc). In this course you will learn how to develop RESTful APIs using Spring MVC. Spring WebfluxSpring Webflux was introduced to the Spring Framework in version 5. Spring Webflux is a reactive web application framework using non-blocking Java components for building efficient and scalable web applications. Like Spring MVC, Spring Webflux also implements the model-view-controller design pattern. Spring Webflux closely follows the familiar syntax of Spring MVC. In this course you will learn to use Spring Webflux to create modern RESTful APIs.Spring Webflux.fnSpring Webflux.fn was also introduced in Spring Framework version 5. Spring Webflux.fn follows a functional programming paradigm. Through the use of functional programming, you can rapidly develop APIendpoints. In this course you will learn how to use the functional programming paradigm of Spring Webflux.fn to develop RESTful APIs.Spring DataSpring Data is a family of Spring Framework projects for persistence operations to SQLand NoSQLdatabases. The Spring Data projects implement the easy to use Repository Pattern to persist objects to the database. In this course you will see how to use Spring Data JPA for persistence with SQLdatabases, how to use Spring Data Mongo for persistence to the NoSQL Mongo Database, and how to use Spring Data R2DBC for reactive/non-blocking SQLdatabase persistence. Spring SecuritySpring Security is commonly used to secure Spring Framework applications. You will see how simple it is to use Spring Security for HTTP Basic authentication. You will also learn how to use Spring Security with OAuth 2.0 authentication. Spring Authorization Server is a recent addition to the Spring Framework family of projects. Spring Authorization server is a lightweight alternative to other identity providers, such as Keycloak. You will learn to implement the OAuth 2.0 Client Credentials flow to obtain a JWT authorization token from the Spring Authorization Server and how to configure RESTful APIs in Spring MVC, Spring Webflux, and Spring Webflux.fn as OAuth 2 Resource Servers.Spring Rest ClientsSpring Framework 6 now has 3 different rest clients which may be used to interact with RESTful APIs. Spring RestTemplate was originally was introduced in Spring Framework version 3. You will learn to use Spring RestTemplate to authenticate with OAuth 2.0 and interact with RESTful APIs. Spring WebClient was introduced in Spring Framework version 5. Spring WebClient is a reactive/non-blocking rest client. Like Spring Webflux.fn, Spring WebClient uses an efficient fluent API. In this course you will learn to use Spring WebClient to authenticate with OAuth 2.0 and interact with RESTful APIs. Spring RestClient is the latest Rest Client for the Spring Framework. Spring RestClient was introduced to the Spring Framework with Spring Framework 6.1 in November of 2023. Spring RestClient uses the same synchronous libraries as Spring RestTemplate. But Spring RestClient uses the same functional APIas Spring WebClient. You will learn to use Spring RestClient to authenticate with OAuth 2.0 and interact with RESTful APIs.Spring BootSpring Boot was added to the Spring Framework family of projects in 2014. Spring Boot brings sensible 'convention over configuration' to the Spring Framework. Spring Boot helps minimize configuration tasks by providing an opinionated configuration through the use of Spring Boot starters. For many 3rd party libraries, Spring Boot will automatically provide sensible defaults and configuration of components. Spring Boot also provides production-ready features such as metrics, health checks and externalized configuration.Docker with Spring BootA very common way to deploy Spring Boot applications is to use Docker containers. You will see how easy it is to use the Spring Boot Maven plugin to generate a Docker image for your application. Once the image is created, you can run the image in a Docker container. You will learn the Docker commands to start 5 different Spring Boot applications. Docker Compose with Spring BootDocker Compose is a tool for running multi-container applications. You will learn how to start the 5 Spring Boot Applications you build in this course, plus how to run MySQLand Mongo DB inside of a Docker network. Spring Cloud Gateway is used to control ingress to the RESTful Spring Boot services running in side the Docker network.Kubernetes with Spring BootKubernetes is a popular container orchestration platform. Originally developed by Google, Kubernetes is being adopted by companies all over the world. Using the same applications you learned to deploy with Docker and Docker Compose, you will learn how to deploy them in a Kubernetes context. Course Extra - IntelliJ IDEA UltimateStudents enrolling in the course can receive a free 4 month trial license to IntelliJIDEAUltimate! Get hands on experience usingthe Java IDEpreferred by Spring Framework professionals!Course Extra - Access to a Private Slack CommunityYou're not just enrolling in a course --> You are joining a community learning Spring.With your enrollment to the course, you can access an exclusive Slack community. Get help from the instructor and other Spring Framework Gurus from around the world - in real time! This community is only available to students enrolled in this course.This is a veryactive Slack community with over 19,000 Spring Framework Gurus!This is the largest online community of people learning Spring in the world.With your enrollment, you can join this community of awesome gurus!Closed Captioning / SubtitlesClosed captioning in Englishis available for all course videos!PDFDownloadsAll keynote presentations are available for you to download as PDFs.Lifetime AccessWhen you purchase this course, you will receive lifetime access! You can login anytime from anywhere to access the course content.No Risk - Money Back GuaranteeYou can buy this course with no risk. If you are unhappy with the course, for any reason, you can get a complete refund. The course has a 30 day Money Back Guarantee.

Who this course is for
This course is ideal for Java developers who wish to use the Spring Framework for enterprise application development


Homepage
Code:
https://www.udemy.com/course/spring-framework-6-beginner-to-guru/

[Image: 509041227_new_spring_framework_6_beginner_to_guru.jpg]

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Django Database ORM Mastery 2024
Last updated 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 49h 18m | Size: 25.1 GB

Learn how to master building and interacting with databases within a Django project



What you'll learn
Setup and prepare an environment ready to develop Python Django applications
Develop Django models, manage models and create Django admin model interactions
Connect a Django application to multiple database technologies utilising Docker container technologies
Propagate changes to database tables structures
Build raw SQL queries to interact with database from within a Django project
Implement a variety of QuerySet API methods to limit, order and optimise performance
Implement a design methodology design and subsequently build and query a database


Requirements
Prior experience in using the Django framework would be advantageous
Knowledge of relational database principles would be advantageous
Having a computer would definitely be advantageous


Description
Welcome to the Django Mastery Course: Mastering Database InteractionsAre you ready to unlock the full potential of Django and elevate your web development skills? Dive deep into the heart of Django with our comprehensive course designed to make you a master of database interactions.Why Django ORM Matters: Unleashing Database Power Without SQLOne of Django's standout features is its Object-Relational Mapper (ORM), a powerful tool that empowers developers to interact with databases seamlessly. Forget about wrestling with SQL syntax (although we also teach you SQLin this course) Django ORM allows you to focus on building robust and scalable applications by abstracting away the complexities of database management.What You'll Learn: A Journey to Django Database MasteryThis course guides you through a transformative journey, starting from the basics and progressing to advanced techniques. From creating models and querying databases to leveraging powerful aggregation functions, you'll gain hands-on experience crafting efficient and high-performance Django applications.Key Highlights:Rapid Development: Learn how Django ORM accelerates your development process, allowing you to build feature-rich applications in record time.Scalability: Understand the principles of designing scalable databases and ensuring your Django projects can easily handle growth.Best Practices: Dive into best practices for structuring models, optimising queries, and maintaining a well-organized database schema.Who Should Take This Course:Django enthusiasts eager to enhance their skills in database interactions.Developers looking to build scalable and performant web applications with Django.Anyone wanting to harness the full potential of Django's ORM without delving into the complexities of SQL.Embark on Your Django Database Mastery Journey:Whether you're a seasoned developer or just starting your Django adventure, this course is your gateway to mastering database interactions. Join us as we demystify Django ORM, empowering you to build web applications that meet industry standards and set new benchmarks.Ready to elevate your Django game? Let's embark on this journey together!Trademark Usages and Fees Disclosures:Usage of Django Logo: The Django logo used in this product is for identification purposes only, to signify that the content or service is Django-related. It does not imply that this product is officially endorsed by the Django Software Foundation (DSF) or the Django Core team as representatives of the Django project.Fees Disclosure: We would like to clarify that the author will retain 100% of the fees to support this product's ongoing development and maintenance. Currently, 0% of the fees, if applicable, will be contributed back to the DSF as a donation to support the Django community further.Note: The Django name and logo are registered trademarks of the Django Software Foundation, and their usage is subject to the Django Trademark License Agreement.

Who this course is for
Beginners, Developers, Students, and Enthusiasts new to the Django Framework
Developers, Students, and Enthusiasts looking to refresh their knowledge of the Django ORM


Homepage
Code:
https://www.udemy.com/course/django-4x-orm-mastery/

[Image: 509009311_django_database_orm_mastery_2024.jpg]

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Code:
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Adobe Photoshop Mega Mastery Course: Novice to Pro 2024 + AI
Published 8/2024
Duration: 28h41m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 37.6 GB
Genre: eLearning | Language: English

From Basics to Brilliance: Learn, Practice, and Perfect Your Skills from Beginner to Expert in One Comprehensive Course



What you'll learn
You'll learn how to start earning money from your Photoshop Skills.
You'll learn how to create graphics from scratch in Adobe Photoshop CC.
You'll learn how to fix the colors in photographs.
You'll learn how to create a paper cut reveal effect in Adobe Photoshop CC.
You'll learn how to create the money effect in Adobe Photoshop CC.
You'll learn how to turn a photograph into an art work in Adobe Photoshop CC.
You'll learn how to turn an image into an oil painting in Adobe Photoshop CC.
You'll learn how to remove people from images in Adobe Photoshop CC.
You'll learn how to change the color of images in Adobe Photoshop CC.
You will have over 20 of your own projects to add to your portfolio.
You'll learn how to remove blemishes from a photograph in Adobe Photoshop CC.
You'll learn to use Adobe Photoshop like an Expert.
You'll learn how to use the new AI features in Adobe Photoshop CC.
You'll learn several workflow tips to speed up your tasks in Adobe Photoshop CC.
You'll learn a lot of useful shortcuts in Adobe Photoshop CC.
You'll learn how to use Adobe Libraries and Adobe Color in Adobe Photoshop CC.
You'll learn how to speed up your Photoshop software in Adobe Photoshop CC.
You'll learn advanced selection workflows in Adobe Photoshop CC.
You'll learn advanced image retouching workflows in Adobe Photoshop CC.
You'll learn how to use the Camera raw plugin in Adobe Photoshop CC.
You'll learn how to steal color grading looks from different images in Adobe Photoshop CC.
You'll learn how to do frequency separation on your images in Adobe Photoshop CC.
You'll learn advanced color correction worklflows in Adobe Photoshop CC.
You'll learn advanced Layer blending options in Adobe Photoshop CC.
You'll learn how to use Blend if in Adobe Photoshop CC.
You'll learn how to use Channels in Adobe Photoshop CC.
You'll learn how to use Knockouts in Adobe Photoshop CC.
You'll learn how to use Apply image in Adobe Photoshop CC.
You'll learn how to use Calculations in Adobe Photoshop CC.
You'll learn learn how to restore colors to black and white images in Adobe Photoshop CC.
You'll learn how to turn and image into a realistic oil painting with AI in Adobe Photoshop CC.
You'll learn how to create custom brushes in Adobe Photoshop CC.
You'll learn how to get thousands of high quality industry standard brush presest from Adobe for Free.
You'll learn how to use the puppet wrap tool in Adobe Photoshop CC.
You'll learn how to create incredible perspetives easily in Adobe Photoshop CC.
You'll learn 3D in Adobe Photoshop CC.
You'll learn how to edit videos and create motion graphics in Adobe Photoshop CC.
You'll learn advanced compositing and photo manipulations in Adobe Photoshop CC.
You'll create an Advanced glitch poster in Adobe Photoshop CC.
You'll create a cosmetic product image manipulation in Adobe Photoshop CC.
You'll create a Nescafe product manipulation in Adobe Photoshop CC.
You'll create the disintegration effect using brushes in Adobe Photoshop CC.
You'll create a sliced artwork in Adobe Photoshop CC.
You'll create a double exposure effect in Adobe Photoshop CC.


Requirements
Adobe Photoshop CC (Creative Cloud) software. I'll also teach you how to get the software so no problem is you don't have it.
No prior knowledge or experience with Photoshop is required.


Description
Welcome to the Ultimate Adobe Photoshop CC Mega Course Your Passport to Pixel Perfection!
Hey Creative Visionaries and Digital Art Aficionados! Get ready for an extraordinary journey as we seamlessly blend the best of both worlds Introducing my Adobe Photoshop CC Mega Mastery Course!
Whether you're just dipping your toes into the creative waters or you're an intermediate user looking to ascend to advanced heights, I've got you covered. This Mega Course is the fusion of my acclaimed Fundamental and Advanced courses, meticulously crafted to take you from absolute beginner to Photoshop maestro!
The Perfect Synergy
First, dive into the fundamentals and master the essentials with my Beginner to Intermediate Course. Perfect for those starting from scratch or wanting a solid refresher, you'll harness the power of Adobe Photoshop like a pro in no time.
The Basics...
We begin the Fundamental course by learning the very foundational skills in Photoshop such as navigating the interface, starting a new project, understanding the working concept of layers, and customizing Photoshop s interface to suit your creative needs.
From there on, we learn how to color correct images, basically putting life into dull images. We then learn how to export files from Photoshop for different purposes, and how to create, modify and use shapes in Adobe Photoshop.
From there on, we learn how to create and use texts, smart objects, and how to crop and straighten images in Photoshop.
We then jump into layer styles, blending modes, selecting and cutting, masking, transform and distort, filters and effects, image retouching and enhancement, and then brushes. After we ve covered all of this, we ll then go on to work on our final projects, in which you ll get the opportunity to review most of what you ve learnt in past modules and even learn a few new tricks.
Elevate your Craft...
Once you've mastered the basics, seamlessly transition to the Intermediate to Advanced Course. Unleash the full potential of Photoshop's advanced features, elevate your technique, and turn your creations into awe-inspiring works of art.
We begin the advanced course by learning several workflow tips and techniques which when applied, will instantly quicken and simplify your tasks. We ll then have a quick dive into to the Adobe Creative Cloud libraries.
We ll then learn some pro workflows with images, selection, layers and blending, then we ll learn some advanced methods of retouching images in Adobe Photoshop. After this, we ll learn some pro color correction workflows and we ll even learn how to use the Camera raw plugin in Adobe Photoshop.
We ll learn some typography pro tips, we ll learn how to create and manipulate perspectives in Photoshop. Up next, we ll learn how to create amazing 3Ds, how to edit videos and create motion graphics all in Adobe Photoshop. Up next we ll learn how to work with the incredible AI feature in Photoshop and how to create realistic mock-ups in Adobe Photoshop.
Finally, we ll work on our Final projects for this mega course. In this final module, we ll together, create projects that are nothing short of jaw dropping, while revising everything you ve learned in past modules.
Exhilirating Challenges
Covering everything from the basics to advanced wizardry, this Mega Course ensures you're well-equipped with a broad skill set. No more limits just endless creative possibilities!
Immerse yourself in practical challenges designed to reinforce your skills. It's not just about learning; it's about applying that knowledge and building a robust foundation for your Photoshop journey. This Adobe Photoshop Mega Course has lots of exciting exercises and home works which will help you practice, as well as master the skills you ve learned.
Why Choose This Course?
Well, I'm not just another random educator; I'm a fellow artist passionate about nurturing your talent and fueling your artistic fire. With a curriculum meticulously designed for passionate individuals like yiou, your creativity will know no bounds.
Why Settle?
Why settle for one level when you can conquer them all? Save time, dive deep, and witness your growth from beginner to advanced seamlessly.
Ready to Embark on This Journey?
Enroll Now!
Your journey from novice to Photoshop powerhouse starts here!
Join me, and let's embark on this Mega Course adventure together. The canvas is yours let's paint something extraordinary!
Who this course is for
Anyone who aims to incorporate Photoshop into their career and earn money from their Photoshop skills.
Novices, hobbyists, visual designers, animation artists, Illustrator enthusiasts, and any creatives looking to craft their own graphics and retouch their own photos from the ground up.
Individuals who want to upgrade their Photoshop game, and create awe inspiring works of art. Graphic designers, photographers, digital artists, photoshop enthusiasts, content creators, etc.


Homepage
Code:
https://www.udemy.com/course/adobe-photoshop-mega-mastery-course-novice-to-pro/

[Image: 509026214_adobe-photoshop-mega-mastery-c...to-pro.jpg]

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Brazilian Zouk Solo Training
Published 9/2024
Created by Caroline Haugsted
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 24h 29m ) | Size: 31.7 GB


[center]
For leaders and followers

[/center]


[b]What you'll learn
:
[/b]
Improve your body awareness, mobility and body control overall
Follow-along body movement exercises (body rolls, waves, snakes, body isolations)
Follow-along head movement exercises (balao, horizontal turns, boneca, bat cabelo)
Through exercises and drills you will work on your control and range of motion and balance

Requirements:
No experience needed

Description:
This course includes a series of full online follow-along classes with a lot of detail to details and technique.It is composed of two main units:Footwork & Turns and Body &Head Movements.Each class simulates a real-life class. Through exercises and drills you will work on your body awareness and control. Being able to do the movements alone is essential to being able to do the movements with a partner, and will make you a better dance partner. It is also useful to know the movement for body the leader and the follower, independent of your preferred role in the dance. No equipment or partner is necessary!Footwork & TurnsIn this unit, we work on the quality of the steps, directions, focusing on the basic versions and adding variations. We will practice variations for both leaders & followers. The movements start more basic, and more variety and difficulty is added as the course progresses.Body &Head MovementsHere, you will improve your body awareness, mobility and body control, body movements (body rolls, waves, snakes, body isolations) and head movements (balao, horizontal turns, boneca, bat cabelo). We will practice variations for both leaders & followers.Every class is around 45 minutes and includes a warming-up and a cooling down.

Who this course is for:
Social dancers who with Zouk foundations who want to improve their general movement technique


Homepage
Code:
https://www.udemy.com/course/brazilian-zouk-solo-training/

[Image: 509851890_brazilian_zouk_solo_training.jpg]

Download from RapidGator
Code:
https://rapidgator.net/file/7b2357b8f2cc22fc199397b354d8c949/Brazilian_Zouk_Solo_Training.part1.rar
https://rapidgator.net/file/f59a9f232ef533080ab8aad96c0e4ae2/Brazilian_Zouk_Solo_Training.part2.rar
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Premium Links
Code:
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Code:
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Code:
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[Image: 2dbabc333d76b5be7cb720a6192b1f4b.jpg]

The Economist Audio Edition - August 31, 2024
English | 7 h 40 m | MP3 | 201 MB

"It is not only The Economist's name that people find baffling. Here are some other common questions.
First, why does it call itself a newspaper? Even when The Economist incorporated the Bankers' Gazette and Railway Monitor from 1845 to 1932, it also described itself as "a political, literary and general newspaper".
It still does so because, in addition to offering analysis and opinion, it tries in each issue to cover the main events business and political of the week. It goes to press on Thursdays and, printed simultaneously in six countries, is available in most of the world's main cities the following day or soon after. Readers everywhere get the same editorial matter. The advertisements differ. The running order of the sections, and sometimes the cover, also differ. But the words are the same, except that each week readers in Britain get a few extra pages devoted to British news.
Why is it anonymous? Many hands write The Economist, but it speaks with a collective voice. Leaders are discussed, often disputed, each week in meetings that are open to all members of the editorial staff. Journalists often co-operate on articles. And some articles are heavily edited. The main reason for anonymity, however, is a belief that what is written is more important than who writes it. As Geoffrey Crowther, editor from 1938 to 1956, put it, anonymity keeps the editor "not the master but the servant of something far greater than himself. You can call that ancestor-worship if you wish, but it gives to the paper an astonishing momentum of thought and principle."


Code:
https://nitroflare.com/view/A0AA079E332C74D/The_Economist_Audio_Edition_August_31_2024.zip
Code:
https://rapidgator.net/file/07a583cecd1a4a1f558bd3707f7d2c6c/The_Economist_Audio_Edition_August_31_2024.zip.html
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[Image: 8c142103f9af40efbbfbb2f0c55403c7.jpg]

ArtStation - Unreal Complete Scene: Forest Environment (Updated 08/2024)
Michael Gerard | Duration: 51:39 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 39,6 GB | Language: English

During this course I will show you, step by step, how to create a forest environment from scratch.

From the creation of the vegetation with Speedtree 9 to the final composition on UE5.1. We will see the creation of textures with Quixel Mixer, terrain to dress the background of our scene with Gaea (optional) and we will create all the necessary shaders to get the maximum quality. And we will finish with the 4k renders with the Movie Render Queue. More details below.

What I will learn?

In Speedtree 9

Create serval Next-gen trees with hybrid logic (structure with Nanite and foliage with common LODs/Imposter)
Create 3d branches to use as textures
Create an atlas to combine several parts in a single texture
Create ground foliage models optimized for realtime rendering.

In UE5

Complex shaders for trunk, foliage, terrain & Megascans assets.
Advanced terrain shader with distance blend texture, Parallax Occlusion Mapping, RVT, automatic logic and spawn foliage with mask.
Complete composition (Procedural Placement, lighting, vfx...)
Create renders with the Movie Render Queue

In Quixel Mixer

Create multiple advan ced textures with and without animated puddles in UE5
Export with the correct packed textures

In Gaea

Create some t errains used to dress the background of our scene
Export masks to use them for texturing in UE5

In Photoshop

Replace colors of s ome textures
Enhance the quality
Combine masks

Which chapters are available?

Aspen Trees (Complete Creation) - (7h26)
Bark & Foliage advanced Shader - (2h35)
Pine Trees (Complete Creation) - (6h55)
Variations & Saplings for Aspen & Pine - (3h)
Complex Landscape Shader & Quixel Mixer Textures (UE5.1) - (4h47)
Ground Foliage (Speedtree 9) - (7h25)
Scene Creation (Part 1) - (2h52)
Distant Terrain + Shader (Gaea / UE5.1) - (1h10)
Megascans Advanced Shader (UE5.1) - (1h05)
Scene Creation (Part 2) (UE5.1) - (7h27)
Decals Shader (UE5.1) - (51m)
Adding Wind on Foliage (Speedtree 9 / UE5.1) - (1h24)
Simple Particles (Ambient Dust / Moving Pollen...) (UE5.1) - (40m)
Scene Creation (Part 3) (UE5.1) - (1h10)
Rendering with Movie Render Queue (UE5.1) - (1h)


Homepage
Code:
https://anonymz.com/?https://www.artstation.com/marketplace/p/z2BWr/the-witcher-3-inspired-scene-tutorial-early-access

[Image: 509412098_09-01_mastermaterialcreation_s.jpg]

Code:
https://nitroflare.com/view/D28B89093899F6A/_ArtStation__Ultimate_Forest_Environment_Course_-_In-Depth_Tutorial.part01.rar
https://nitroflare.com/view/72D5AE26AB18897/_ArtStation__Ultimate_Forest_Environment_Course_-_In-Depth_Tutorial.part02.rar
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Code:
https://rapidgator.net/file/bda86988a0412b6ade39fcf4c2297621/[ArtStation]_Ultimate_Forest_Environment_Course_-_In-Depth_Tutorial.part01.rar.html
https://rapidgator.net/file/70456755471baa85a81bde0bd6757aaf/[ArtStation]_Ultimate_Forest_Environment_Course_-_In-Depth_Tutorial.part02.rar.html
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[Image: 5b828be2d1e125bf147a2cff74a1fc4c.jpg]

Salesforce Lightning Web Components(LWC, HTML,JavaScript)
Published 9/2024
Duration: 39h5m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 23.9 GB
Genre: eLearning | Language: English

Learn Step by step Salesforce Lightning Web Components using HTML, JavaScript and CSS



What you'll learn
Develop reusable Lightning web components
Create, Customize pages and Functions for Lightning Applications
build custom user interfaces, web and mobile apps, and digital experiences
create Lightning web component actions to enhance user experience


Requirements
Require Salesforce Administration and Salesforce Developer Knowledge


Description
This course is meticulously crafted for those eager to master Salesforce Integration with various APIs, with a special focus on Lightning Web Components (LWC). Before diving into LWC, you'll brush up on essential web development skills like
HTML
,
CSS
,
JavaScript
, and
XML
. JavaScript, being the backbone of LWC, will cover key concepts such as
Data Types
,
Variables
,
Arrays
,
Objects
, and modern features like
JavaScript Promises
.
The course also introduces
Visual Studio
as the development environment, along with the
Web Stack
(ECMA Script) and browser tools for debugging and logging.
In the LWC sessions, you'll learn to create LWC bundles, combining
HTML
,
JavaScript
, and
XML
into powerful components. The course covers everything from
LWC Tags
and
UI Components
to advanced topics like
Service Components
,
CSS in LWC
, and
LWC Decorators
. You ll explore
Data Binding
,
LWC Lifecycle Hooks
, and how to connect LWC to Apex for data retrieval.
Moreover, you ll learn to implement
Lightning Data Service
, use
Lightning Design Systems
, and perform
DML Operations
through Apex in LWC. The course also covers real-world applications, including calling LWC from
Flows
.
This course is going to cover
HTML
CSS (Styles)
Scripts
JavaScript
XML
Visual Studio
Web stack (ECMA Script), TC39
Browser --> Debug, Error , logs
LWC Bundle (HTML, JS, XML)
LWC Tags
LWC tags
CSS in LWC
LWC Decorators
LWC JavaScript
LWC Lifecycle Hooks
LWC --> Apex (call APex)
Lightning Data Service
Lightning Design Systems (CSS)
Wire Decorator
Event
Calling LWC from Flows
Calling Flows from LWC
Real time scenarios
Who this course is for
Salesforce Developers, Salesforce Architects


Homepage
Code:
https://www.udemy.com/course/salesforce-lightning-web-componentslwc-htmljavascript

[Image: 509913974_36-lwc-connectedcallback_s.jpg]

Code:
https://nitroflare.com/view/A0F5E15AFDBC40F/salesforce-lightning-web-componentslwc-htmljavascript.part1.rar
https://nitroflare.com/view/2362941D7F85DD6/salesforce-lightning-web-componentslwc-htmljavascript.part2.rar
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Code:
https://rapidgator.net/file/8febfd843f50552703fb4b40d0930978/salesforce-lightning-web-componentslwc-htmljavascript.part1.rar.html
https://rapidgator.net/file/8d7d2f9745f9f0daa082444dead74247/salesforce-lightning-web-componentslwc-htmljavascript.part2.rar.html
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