Library

[Slon]

Muay Thai, Kick Boxing Training: From Zero to Pro
Last updated 2/2026
Created by Barbaros Özeller
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 47 Lectures ( 10h 31m ) | Size: 21.3 GB

Best of Kickboxing, Muay Thai, Boxing, Martial arts, how to learn Self-Defense while burning FAT and getting fit.



What you'll learn
⚡ How to learn Combat sports while burning FAT and getting fit
⚡ This program has something for any level learners.
⚡ You will learn; fight stances, how to throw impactful punches, bone-breaking kick techniques, elbow and knee strikes
⚡ Total of 12 different exercise programs basically you will get fit, burn fat and learn how to fight!
⚡ This program includes;3 different levels BOXING training ,3 different levels KICKBOXING training, 3 different levels MUAY THAI, 3 different levels KICK training
⚡ You will also learn how to become more flexible by STRETCHING training lessons,
⚡ If you put the time and effort, it is possible to achieve split legs with these lessons.
⚡ As you trainer, I will be available for your questions and I will do my best for you to succeed with your goals!

Requirements
❗ You don't need any experiments for this program.

Description

Muay Thai, Kick Boxing Training: From Zero to Pro (Need punching bag)
Hello everyone, I am Sensei Barbaros, a master of 6 different martial arts. My profession is kickboxing personal trainer. I also teach other self-defense systems to my students. If you want to know more about me, please google my name. (Most of the content you will find is in my native language but some videos you will find will give you an idea of my skills and competence).

I have created a heavy bag system for those who want to learn and practice martial arts at home, in the gym, or anywhere. I want to be an online instructor for you, so ask me if you have any questions. I will get back to you as soon as possible.

Some of the techniques I teach in my training course videos; Kickboxing, Muay Thai, Boxing, and some self-defence techniques. This kickboxing training course covers the best kickboxing techniques and teaches the basics of Muay Thai kickboxing. This course will allow you to master Muay Thai Kickboxing. You will learn many combinations from basic to advanced levels.

In my Udemy heavy bag system, all training videos show 3 different levels; beginners, intermediate, and advanced students. 12 unique lessons in total.

You can choose your training program according to your fitness level.

Boxing, kickboxing, Muaythai training with a punching bag offers many benefitsIncreased Cardiovascular Endurance: Training with a punching bag requires you to be in constant motion and increases your heart rate. This increases your cardiovascular endurance and improves your overall health.

Increased Strength and Endurance: Impacts against the punching bag help to strengthen and increase the endurance of your body muscles. There are many exercises that specifically target your upper body, arm and leg muscles.

Improved Coordination and Reflexes: Punches against the punching bag improve your ability to coordinate your body and speed up your reflexes. It contributes to the development of your hand-eye coordination for fast and accurate strokes.

Stress Reduction and Increased Self-confidence:Hitting a punching bag can help you reduce stress and discharge negative energy. Also, with the development of your boxing or kickboxing skills, your self-confidence can increase.

Stimulating Fat Burning: An intense punching bag workout increases calorie burn and promotes fat burning. This can help with weight control and improve your body composition.

Increased Discipline and Focus: Punching training is a sport that requires discipline and improves your ability to focus. It requires constant practice to improve your technical skills and achieve your goals.

Who this course is for
⭐ Who wants to learning, improving fighting skill and build up better body
⭐ Who wants to fat burning fast

Code:

https://anonymz.com/?https://www.udemy.com/course/heavy-bag-training-system

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[Slon]

Complete Mobile Developer course with AI Projects
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz
Language: English | Size: 35.80 GB | Duration: 22h 41m

Build real React Native & Expo apps | APIs, sensors, camera, maps, auth, EAS builds & an AI story-generator project.



What you'll learn
Build and ship real cross-platform mobile apps for Android and iOS from a single codebase using React Native and Expo.
Master Expo's core UI components and styling | View, Text, Image, TextInput, Pressable, StyleSheet, props, and list/data-display components - to build polishe
Build complete real-world apps end to end
Apply everything through hands-on mini-projects

Requirements
Basic JavaScript knowledge
No prior mobile development experience needed

Description
Become a job-ready mobile developer by building real apps with React Native and Expo | from your very first component to authentication, maps, and production builds.Mobile is where users spend most of their time, yet skilled mobile developers are still in short supply. This course closes that gap. If you already know a little JavaScript and React, you'll learn how to turn that knowledge into real, installable Android and iOS apps using Expo - the modern, beginner-friendly framework built on top of React Native and trusted in production by apps like Instagram and Discord.We start from the ground up: what mobile development is, how React Native compares to Expo, and how to set up your environment and ship your first project. From there you'll master the core components (View, Text, Image, TextInput, Pressable, StyleSheet), styling, props, and list rendering - then put them to work building real screens.Next, you'll go deep into navigation - first with React Navigation, then with modern Expo Router file-based routing, including dynamic routes, catch-all segments, layouts, route groups, stacks, tabs, drawers, and modals. You'll learn how to talk to APIs (both your own Expo API routes and external services), and how to persist data using AsyncStorage, SecureStore, SQLite, and the file system.The second half is all about going native. You'll work with device sensors (accelerometer, gyroscope, magnetometer, light sensor, pedometer), the camera and microphone, network, deep linking, haptics, and battery APIs, interactive maps with markers and polylines, and push notifications. You'll then implement complete authentication flows - protected routes, email/password login, Google and GitHub OAuth, and third-party providers like Better Auth and Clerk - and learn EAS development builds and app variants to get your app onto real devices.To tie it all together, you'll build real-world capstone projects, including a Weather app (Expo Location, live weather/forecast/AQI APIs, custom hooks, and dynamic backgrounds), a Pinterest-style Pixabay wallpaper app (search, color & category filters, detail modals, and image downloads), and a standout AI Story Generator that uses the AI SDK and OpenRouter to generate stories and images from a single prompt - routing requests to models like OpenAI, Gemini, and Claude with structured, Zod-validated output, plus local storage and dark mode.Throughout the course you'll also cement every concept with hands-on mini-projects, including a Profile Card Gallery, a Pokédex app, a Notes Buddy storage app, a News Feed reader, a Tilt-the-Ball sensor game, a Profile Pic Creator, and a Reminder Buddy notifications app.By the end, you won't just understand Expo - you'll have built a portfolio of real apps (including an AI-powered one) and the confidence to design, build, and ship your own mobile products. Enroll now and start building.

Complete beginners to mobile development,Web developers (React/JavaScript),Students and self-taught coders,Working professionals and freelancers,Anyone who wants to build real-world mobile apps

Code:

https://anonymz.com/?https://www.udemy.com/course/complete-mobile-developer-course-with-ai-projects/

Premium Links

Code:

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[Slon]

Curso completo de Go High Level en español. CRM Todo en UNO
Published 7/2026
Created by Bruno Vela Cobos
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: Spanish | Duration: 72 Lectures ( 30h 31m ) | Size: 31.6 GB

Aprende el mejor CRM todo en UNO, automatizaciones, funnels, email y SMS marketing y más, con GoHighLevel desde cero



What you'll learn
⚡ Configurar y personalizar GoHighLevel desde cero para gestionar cualquier tipo de negocio o agencia de marketing digital.
⚡ Crear automatizaciones y workflows que trabajen 24/7 para captar, nutrir y convertir leads sin intervención manual.
⚡ Diseñar embudos de venta, landing pages y sitios web profesionales sin necesidad de saber programar.
⚡ Implementar un sistema completo de comunicación multicanal: Email, SMS, WhatsApp y llamadas desde una sola plataforma.
⚡ Gestionar calendarios, citas y recordatorios automáticos para reducir ausencias y optimizar tu agenda.
⚡ Configurar pagos, suscripciones y facturación integrada con Stripe para cobrar directamente desde el CRM.
⚡ Automatizar la solicitud y gestión de reseñas en Google para mejorar la reputación online de tu negocio.
⚡ Crear y vender cursos digitales, membresías y comunidades usando el módulo de Memberships de GoHighLevel.

Requirements
❗ No se necesita experiencia previa con CRMs o herramientas de automatización. Este curso es desde cero.
❗ Tener una computadora con conexión a internet estable para acceder a la plataforma.
❗ Contar con una cuenta de GoHighLevel (Te daré acceso 30 días GRATIS para estudiar los módulos).
❗ Conocimientos básicos de navegación web y uso de herramientas digitales.
❗ Ganas de aprender y aplicar lo aprendido en tu negocio o el de tus clientes.

Description¿Quieres dejar de pagar por 10 herramientas diferentes para gestionar tu marketing y ventas? GoHighLevel (GHL) es la plataforma todo-en-uno que centraliza CRM, automatización de marketing, ventas y atención al cliente en un solo lugar, y en este curso aprenderás a dominarla desde cero, sin importar si eres dueño de una agencia, freelancer o emprendedor.

A lo largo del curso descubrirás cómo funciona elCRM de GoHighLevel, cómo gestionar y automatizar el avance de tus leads en el embudo de ventas, y cómo configurarworkflows automatizados de manera sencilla, ideal incluso si no tienes experiencia técnica. Aprenderás a crear flujos que se disparan por eventos como la llegada de un nuevo lead, una compra o una acción específica del usuario, ahorrando horas de trabajo manual cada semana.

También veremos cómo configurarcampañas de email marketing automatizadas segmentadas por comportamiento, cómo enviarSMS automatizados dentro de tus workflows, y cómo monitorear el rendimiento de tus campañas desde el dashboard para tomar decisiones basadas en datos reales. Cubriremos además lasintegraciones y la API de GHL para conectar la plataforma con otras herramientas.

Al terminar este curso, tendrás las habilidades para implementar GoHighLevel en tu propio negocio o en el de tus clientes, ahorrando tiempo, mejorando la eficiencia de tus procesos y aumentando tus conversiones gracias a la automatización total del embudo de ventas.

¡Inscríbete ahora y transforma la forma en que gestionas tu marketing!

Who this course is for
⭐ Emprendedores que quieren automatizar y escalar su negocio sin contratar más personal.
⭐ Freelancers de marketing digital que buscan una herramienta todo-en-uno para gestionar sus clientes.
⭐ Agencias de marketing que desean ofrecer servicios de CRM y automatización a sus clientes.
⭐ Coaches, consultores y profesionales de servicios que necesitan organizar su gestión comercial.
⭐ Community Managers que quieren agregar automatización y CRM a sus servicios actuales.
⭐ Cualquier persona interesada en aprender la plataforma #1 de CRM para agencias en el mundo.

Code:

https://anonymz.com/?https://www.udemy.com/course/curso-completo-de-go-high-level-en-espanol-crm-todo-en-uno

Premium Links

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[Slon]

Unity 3D Defence y Desarrollo de 3 Juegos con Draw Mechanic
Published 6/2026
Created by Olcay kalyoncuoğlu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: Spanish + subtitle | Duration: 123 Lectures ( 34h 50m ) | Size: 25.5 GB

Construye un juego de defensa 3D desde cero y 3 juegos con mecánicas draw. Aprende sistemas clave y arquitectura escalab



What you'll learn
⚡ Desarrollo completo de juegos mobile 3D desde cero
⚡ Implementación de varias mecánicas de gameplay
⚡ Gestión práctica de proyectos y workflow
⚡ Comprensión profunda de un sistema de game mechanic reutilizable específico

Requirements
❗ Se requiere un nivel intermedio mínimo de conocimiento en Unity y game development.

Description

"Este curso incluye el uso de inteligencia artificial."
SECCIÓN DEFENCE GAME

Tower defence es uno de los géneros más populares y ampliamente jugados en el mercado de juegos mobile, con millones de descargas en títulos de éxito.

En este curso, construimos un juego de defensa 3D completo desde cero. Todos los Assets, modelos y elementos de entorno utilizados en el proyecto se crean personalmente. Cuando se cumplen los requisitos, se proporciona acceso completo al source code. Consulte los vídeos de vista previa para obtener una descripción general detallada.

Características Principales Cubiertas en el Curso

Sistema de Main Menu

Sistema de Selección de Level

Audio Controls (Sistema de Toggle de Música y SFX)

Sistema multi-idioma utilizando arquitectura basada en archivos

Sistema de Loading / Transición de Scene

Sistema de habilidades especiales (congelar enemigos, slow motion, reparación masiva, upgrade masivo)

Sistema de Wave y ataque

Sistema de Object pooling (proyectiles, efectos, sonidos) para un rendimiento óptimo

Sistema de tienda in-game para posicionamiento de Turret

Y muchos más sistemas avanzados

Características del Sistema de Turret

Sistema de posicionamiento de Turret

Sistema de Upgrade

Sistema de reparación

Sistema de venta

Sistema de detección de Radar

Sistema de Health

Sistema de interacción con el entorno

Sistema de comportamiento basado en el tipo (Turrets de Láser y Radiación)

Todos estos sistemas se implementan paso a paso con todo detalle a lo largo del curso.

Assets Incluidos

8 tipos diferentes de Turrets (incluyendo armas de fuego, láser y radiación)

7 tipos diferentes de enemigos (personajes humanos, atacantes a distancia y enemigos estándar)

Assets de entorno completos (carreteras, barreras, props de entorno)

Modelos de soporte y Assets adicionales

Sistemas de UI completos para el Main Menu y la interfaz in-game

Este curso está diseñado para ser un recurso completo y práctico para estudiantes serios que desean construir sistemas de juegos del mundo real.

Antes de comprar, asegúrese de ver todos los vídeos de vista previa, ya que contienen demostraciones y explicaciones importantes.

Dado que los estudiantes pueden tener diferentes niveles de experiencia, algunos enfoques pueden diferir de lo que usted está acostumbrado. En el game development, generalmente existen múltiples soluciones válidas para un sistema dado. Este curso está estructurado para desarrolladores de nivel intermedio, y usted es libre de modificar o mejorar los sistemas según sea necesario.

SECCIÓN 3 DRAW MECHANIC GAMES

En esta sección, construimos desde cero un sistema de draw mechanic de juegos muy popular y ampliamente descargado.

Desarrollamos implementaciones tanto en 2D como en 3D, dándole una ventaja significativa en la comprensión de la lógica de juegos multidimensional.

La draw-line mechanic que construimos está diseñada como un sistema flexible y reutilizable. El objetivo principal de este curso es enseñar la arquitectura central detrás de esta mecánica para que pueda reutilizarla para construir un número ilimitado de juegos basados en sus propias ideas y creatividad.

Al pensar más allá de la estructura del curso, será capaz de generar conceptos de juegos altamente escalables utilizando el mismo sistema central.

Se recomienda encarecidamente seguir las lecciones paso a paso sin omitir nada, ya que esto reducirá significativamente la posibilidad de errores y malentendidos. El sistema se explica de forma clara, mínima y estructurada para garantizar una comprensión total.

Una vez que se comprende la arquitectura central, construimos el sistema completamente desde cero. Dependiendo de las condiciones específicas, también obtendrá acceso al source code completo y a versiones premium de los proyectos completados.

Cómo Puede Usar Este Sistema

Publique sus propios juegos

Mejore sus habilidades de game development

Construya un portafolio profesional

Úselo como un sistema base reutilizable para proyectos futuros

Este curso pretende ser un recurso valioso para cualquier persona que se tome en serio el game development.

Asegúrese de ver todos los vídeos de vista previa antes de inscribirse, ya que incluyen demostraciones importantes y explicaciones sobre la estructura del curso.

Como los estudiantes tienen diferentes niveles de experiencia, algunas técnicas pueden diferir de las que usted está acostumbrado. En el game development, siempre son posibles múltiples enfoques de implementación. El curso está diseñado para una comprensión de nivel intermedio, y se le anima a adaptar o mejorar los sistemas según sus necesidades.

EL IDIOMA ORIGINAL DE NARRACIÓN Y EXPLICACIÓN DE LOS VÍDEOS DE ESTE CURSO ES EL TURCO. TODOS LOS VÍDEOS ESTÁN DOBLADOS UTILIZANDO INTELIGENCIA ARTIFICIAL. PUEDE HABER ERRORES O MALAS INTERPRETACIONES CAUSADAS POR LA TRADUCCIÓN. POR FAVOR, TENGA ESTO EN CUENTA ANTES DE TOMAR SU DECISIÓN DE COMPRA.

Who this course is for
⭐ Cualquiera que quiera construir juegos desde cero
⭐ Desarrolladores que buscan generar ingresos a través del game development
⭐ Personas que desean mejorar sus habilidades de Unity y programación de gameplay

Code:

https://anonymz.com/?https://www.udemy.com/course/unity-3d-defence-y-desarrollo-de-3-juegos-con-draw-mechanic

Premium Links

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[Slon]

Django: Crea aplicaciones web robustas con Python
Last updated 4/2026
Created by Fernando Herrera, {d/t} - DevTalles, Ricardo Cuéllar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: Spanish + subtitle | Duration: 395 Lectures ( 44h 31m ) | Size: 39.1 GB

Model View Template, Django ORM, Django Admin, Function y Class Based Views, Middlwares, Auth, Sessions, Signals y más.



What you'll learn
⚡ Conocer las bases del framework Django
⚡ Crear aplicaciones web con Django
⚡ Arquitectura Model View Template
⚡ Vistas con Function Based Views y Class Based Views
⚡ Django ORM, Relaciones, Django Admin, Middlewares, Sessions, etc.

Requirements
❗ Python básico
❗ Desarrollo web básico
❗ SQL básico
❗ No sé nesecita experiencia en programación pero es recomendado

Description

Django: crea aplicaciones web robustas con Python
Bienvenidos alcurso de Django, este curso tiene como objetivo llevar tus conocimientos dePython al área deAplicaciones Web, llevando tus conocimientosdesde cero hasta un nivel competitivo en el mercado laboral. Este curso te llevará desde las bases de Django hastaconstruir aplicaciones listas para ser desplegadas utilizando únicamente elframework Django.

El curso cuenta consecciones introductorias al framework,mini aplicaciones para explicar conceptos, y secciones en las cuales vamosconstruyendo un proyecto conforme aprendemos y aplicamos lo aprendido.

También cuentas con unasección introductoria a Python para que puedas refrescar conceptos o, si te aventuraste a ir directo al framework, también puedas tomar losconocimientos más esenciales del lenguaje.

Django es uno de los frameworks más poderosos y usados en el mundo del desarrollo web. Con él puedestransformar una idea en una aplicación lista para usar en muy poco tiempo, porque ya incluye lo esencial:manejo de usuarios, bases de datos, seguridad y hasta un panel de administración.

Lo mejor es que Django te permite crearproyectos reales: desde unsimple blog hasta unsistema de e-commerce o unared social completa. Esseguro, escalable y cuenta con unaenorme comunidad que te respalda en cada paso.

En pocas palabras:aprender Django es una inversión en tu futuro como programador. Te dará las herramientas paracrear proyectos profesionales,abrir más oportunidades laborales ydiferenciarte en un mercado que cada vez demanda más desarrolladores con estas habilidades.

¿Qué aprenderás en el curso?
Estos son algunos de los temas que veremos

✨Model View Template (MVT)

✨URLs

✨Views

✨Templates

✨Modelos y bases de datos

✨Relaciones entre modelos

✨Django ORM

✨Django Admin

✨Filtros, búsquedas y paginación

✨Signals

✨Class Based Views

✨Function Based Views

✨Middlewares

✨Autenticación y permisos de usuarios

✨Sessions

✨Autenticación y permisos de usuarios desde código

✨Subida de archivos

✨Content Types

✨Context Processors

✨Y muchas cosas más.

Objetivo del curso
El objetivo principal es queconozcas y aprendas Django para que puedasconstruir aplicaciones web completas para MVPs yproyectos rápidos con un solo framework, aplicandoestándares actuales del desarrollo profesional.

Cada sección fue pensada para queconozcas una parte del framework con ejemplos prácticos. En algunas secciones aplicamos todos los conocimientos y los plasmamos en unproyecto MVP: una plataforma de cursos en línea, partiendo desde cero hasta tener elMVP terminado.

Resultados al finalizar
Al finalizar el curso estarás preparado para

✨Enfrentar proyectos reales con Python

✨Postular a empleos que usen Django

✨Ser parte esencial de un equipo de desarrollo

✨ O inclusolanzar tus propios proyectos, como lo hicieronInstagram, Spotify o Pinterest

¡Te espero en el curso y deseo muchoéxito en tu trayectoria profesional!

Who this course is for
⭐ Desarrolladores en Python principiantes e intermedios
⭐ Desarrolladores web con interés en Python
⭐ Desarrolladores principiantes en desarrollo web
⭐ Interesados en aprender a crear aplicaciones web completas con un solo framework
⭐ Personas curiosas e interesadas en aprender un framework fácil y completo
⭐ Desarrolladores que han manejado algún otro framework y quieren interactuar con Django
⭐ Personas que deseen conocer las bases de Django

Code:

https://anonymz.com/?https://www.udemy.com/course/django-aplicaciones-robustas-con-python

Premium Links

Code:

https://nitroflare.com/view/2FE10277B95418D/
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Code:

https://rapidgator.net/file/776016c553b2d6a5a92db87c5564de00/
https://rapidgator.net/file/b3caabc56521728c9a508648b42c7c08/
https://rapidgator.net/file/1c910e329f9b899f102a9a0008a7f5bc/
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https://rapidgator.net/file/8bd2e7df314f8d8ead8a87ca9d577f3b/
https://rapidgator.net/file/f53ef05c3cc15cc81728822072eac159/
https://rapidgator.net/file/999afc6c472de93ada7fb50cd6c097ba/
https://rapidgator.net/file/98a206bea4a17ecb8d839853321419b0/

[Slon]

Deep Learning Masterclass with TensorFlow 2 Over 20 Projects
Last updated 2/2026
Created by Neuralearn Dot AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 204 Lectures ( 58h 28m ) | Size: 34.3 GB

Master Deep Learning with TensorFlow 2 with Computer Vision,Natural Language Processing, Sound Recognition & Deployment



What you'll learn
⚡ The Basics of Tensors and Variables with Tensorflow
⚡ Basics of Tensorflow and training neural networks with TensorFlow 2.
⚡ Convolutional Neural Networks applied to Malaria Detection
⚡ Building more advanced Tensorflow models with Functional API, Model Subclassing and Custom Layers
⚡ Evaluating Classification Models using different metrics like: Precision,Recall,Accuracy and F1-score
⚡ Classification Model Evaluation with Confusion Matrix and ROC Curve
⚡ Tensorflow Callbacks, Learning Rate Scheduling and Model Check-pointing
⚡ Mitigating Overfitting and Underfitting with Dropout, Regularization, Data augmentation
⚡ Data augmentation with TensorFlow using TensorFlow image and Keras Layers
⚡ Advanced augmentation strategies like Cutmix and Mixup
⚡ Data augmentation with Albumentations with TensorFlow 2 and PyTorch
⚡ Custom Loss and Metrics in TensorFlow 2
⚡ Eager and Graph Modes in TensorFlow 2
⚡ Custom Training Loops in TensorFlow 2
⚡ Integrating Tensorboard with TensorFlow 2 for data logging, viewing model graphs, hyperparameter tuning and profiling
⚡ Machine Learning Operations (MLOps) with Weights and Biases
⚡ Experiment tracking with Wandb
⚡ Hyperparameter tuning with Wandb
⚡ Dataset versioning with Wandb
⚡ Model versioning with Wandb
⚡ Human emotions detection
⚡ Modern convolutional neural networks(Alexnet, Vggnet, Resnet, Mobilenet, EfficientNet)
⚡ Transfer learning
⚡ Visualizing convnet intermediate layers
⚡ Grad-cam method
⚡ Model ensembling and class imbalance
⚡ Transformers in Vision
⚡ Model deployment
⚡ Conversion from tensorflow to Onnx Model
⚡ Quantization Aware training
⚡ Building API with Fastapi
⚡ Deploying API to the Cloud
⚡ Object detection from scratch with YOLO
⚡ Image Segmentation from scratch with UNET model
⚡ People Counting from scratch with Csrnet
⚡ Digit generation with Variational autoencoders (VAE)
⚡ Face generation with Generative adversarial neural networks (GAN)
⚡ Sentiment Analysis with Recurrent neural networks, Attention Models and Transformers from scratch
⚡ Neural Machine Translation with Recurrent neural networks, Attention Models and Transformers from scratch
⚡ Intent Classification with Deberta in Huggingface transformers
⚡ Neural Machine Translation with T5 in Huggingface transformers
⚡ Extractive Question Answering with Longformer in Huggingface transformers
⚡ E-commerce search engine with Sentence transformers
⚡ Lyrics Generator with GPT2 in Huggingface transformers
⚡ Grammatical Error Correction with T5 in Huggingface transformers
⚡ Elon Musk Bot with BlenderBot in Huggingface transformers

Requirements
❗ Basic Math
❗ Access to an internet connection, as we shall be using Google Colab (free version)
❗ Basic Knowledge of Python

Description

Deep Learningis one of the most popular fields in computer science today. It has applications in many and very varied domains. With the publishing of much more efficient deep learning models in the early 2010s, we have seen a great improvement in the state of the art in domains likeComputer Vision, Natural Language Processing, Image Generation, and Signal Processing.
Thedemand for Deep Learning engineers is skyrocketing and experts in this field arehighly paid, because of their value.However, getting started in this field isn't easy. There's so much information out there, much of which is outdated and many times don't take the beginners into consideration

In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step and project-based approach. You shall be usingTensorflow 2 (the world's most popular library for deep learning, and built by Google) andHuggingface.We shall start by understanding how to build very simple models (like Linear regression models forcar price prediction, text classifiers formovie reviews, binary classifiers formalaria prediction) using Tensorflow and Huggingface transformers, to more advanced models (like object detection models withYOLO, lyrics generator model withGPT2and Image generation withGANs)

After going through this course and carrying out the different projects, you will develop the skill sets needed to develop modern deep-learning solutions that big tech companies encounter.

You will learn:

✨ The Basics of Tensorflow(Tensors, Model building, training, and evaluation)

✨ Deep Learning algorithms likeConvolutional neural networks and Vision Transformers

✨ Evaluation of Classification Models (Precision, Recall, Accuracy, F1-score, Confusion Matrix, ROC Curve)

✨ Mitigating overfitting withData augmentation

✨ Advanced Tensorflow concepts likeCustom Losses and Metrics, Eager and Graph Modes and Custom Training Loops, Tensorboard

✨ Machine Learning Operations(MLOps) with Weights and Biases(Experiment Tracking, Hyperparameter Tuning, Dataset Versioning, Model Versioning)

✨ Binary Classification withMalaria detection

✨ Multi-class Classification withHuman Emotions Detection

✨ Transfer learning with modern Convnets (Vggnet, Resnet, Mobilenet, Efficientnet) and Vision Transformers(VITs)

✨ Object Detection with YOLO(You Only Look Once)

✨ Image Segmentation withUNet

✨ People Counting withCsrnet

✨ Model Deployment (Distillation, Onnx format, Quantization, Fastapi, Heroku Cloud)

✨ Digit generation withVariational Autoencoders

✨ Face generation withGenerative Adversarial Neural Networks

✨ Text Preprocessing for Natural Language Processing.

✨ Deep Learning algorithms likeRecurrent Neural Networks, Attention Models, Transformers, and Convolutional neural networks.

✨ Sentiment analysis with RNNs, Transformers, and Huggingface Transformers(Deberta)

✨ Transfer learning with Word2vec and modern Transformers (GPT, Bert, ULmfit, Deberta, T5...)

✨ Machine translation with RNNs, attention, transformers, and Huggingface Transformers(T5)

✨ Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)

✨ Intent Classification withDebertain Huggingface transformers

✨ Named Entity Relation withRoberta in Huggingface transformers

✨ Neural Machine Translation withT5 in Huggingface transformers

✨ Extractive Question Answering withLongformer in Huggingface transformers

✨ E-commerce search engine withSentence transformers

✨ Lyrics Generator withGPT2 in Huggingface transformers

✨ Grammatical Error Correction withT5 in Huggingface transformers

✨ Elon Musk Bot withBlenderBot in Huggingface transformers

✨ Speech recognition with RNNs

If you are willing to move astep further in your career, this course is destined for you and we are super excited to help achieve your goals!

This course is offered to you byNeuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.

Enjoy!!!

Who this course is for
⭐ Beginner Python Developers curious about Applying Deep Learning for Computer vision and Natural Language Processing
⭐ Deep Learning for Computer vision Practitioners who want gain a mastery of how things work under the hood
⭐ Anyone who wants to master deep learning fundamentals and also practice deep learning for computer vision using best practices in TensorFlow.
⭐ Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.
⭐ Natural Language Processing practitioners who want to learn how state of art NLP models are built and trained using deep learning.
⭐ Anyone wanting to deploy ML Models
⭐ Learners who want a practical approach to Deep learning for Computer vision, Natural Language Processing and Sound recognition

Code:

https://anonymz.com/?https://www.udemy.com/course/deep-learning-masterclass-with-tensorflow-2-over-15-projects

Premium Links

Code:

https://nitroflare.com/view/3732B35B1753453/
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[Slon]

Unity 3D Defence and 3 Draw Mechanic Games Development
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English + subtitle | Duration: 34h 50m | Size: 25.44 GB

Build a 3D defence game from scratch and 3 draw-mechanic games. Learn core systems and scalable game architecture.



What you'll learn
Full development of 3D mobile games from scratch
Implementation of various gameplay mechanics
Practical project and workflow management
Deep understanding of a specific reusable game mechanic system

Requirements
A minimum intermediate level of Unity and game development knowledge is required.

Description "This course involves the use of artificial intelligence."

DEFENCE GAME SECTION

Tower defence is one of the most popular and widely played genres in the mobile gaming market, with millions of downloads across successful titles.

In this course, we build a complete3D defence game from scratch. All assets, models, and environment elements used in the project are personally created. When requirements are met, full source code access is provided. Please refer to the preview videos for a detailed overview.

Key Features Covered in the Course
- Main Menu System

- Level Selection System

- Audio Controls (Music & SFX Toggle System)

- Multi-language system using file-based architecture

- Loading / Scene transition system

- Special abilities system (enemy freeze, slow motion, mass repair, mass upgrade)

- Wave and attack system

- Object pooling system (bullets, effects, sounds) for optimal performance

- In-game shop system for turret placement

- And many more advanced systems

Turret System Features
- Turret placement system

- Upgrade system

- Repair system

- Sell system

- Radar detection system

- Health system

- Environmental interaction system

- Type-based behaviour system (Laser and Radiation turrets)

All of these systems are implemented step by step in full detail throughout the course.

Assets Included
- 8 different turret types (including firearms, laser, and radiation weapons)

- 7 different enemy types (human characters, ranged attackers, and standard enemies)

- Full environment assets (roads, barriers, environmental props)

- Additional supporting models and assets

- Complete UI systems for main menu and in-game interface

This course is designed to be a comprehensive and practical resource for serious learners who want to build real-world game systems.

Before purchasing, please make sure to watch all preview videos, as they contain important demonstrations and explanations.

Since learners may have different levels of experience, some approaches may differ from what you are familiar with. In game development, there are usually multiple valid solutions for any given system. This course is structured forintermediate-level developers, and you are free to modify or improve the systems as needed.

3 DRAW MECHANIC GAMES SECTION
In this section, we build a highly popular and widely downloadeddraw-based game mechanic system from scratch.

We develop both2D and 3D implementations, giving you a significant advantage in understanding cross-dimensional game logic.

The draw-line mechanic we build is designed as aflexible and reusable system. The primary goal of this course is to teach the core architecture behind this mechanic so you can reuse it to build an unlimited number of games based on your own ideas and creativity.

By thinking beyond the course structure, you will be able to generate highly scalable game concepts using the same core system.

It is strongly recommended to follow the lessons step by step without skipping, as this will significantly reduce the chance of errors and misunderstandings. The system is explained in a clear, minimal, and structured way to ensure full comprehension.

Once the core architecture is understood, we build the system completely from scratch. Depending on specific conditions, you will also gain access to full source code and premium versions of the completed projects.

How You Can Use This System
- Publish your own games

- Improve your game development skills

- Build a professional portfolio

- Use it as a reusable base system for future projects

This course is intended to be a valuable resource for anyone who is serious about game development.

Please make sure to watch all preview videos before enrolling, as they include important demonstrations and course structure explanations.

As learners have different experience levels, some techniques may differ from what you are used to. In game development, multiple implementation approaches are always possible. The course is designed forintermediate-level understanding, and you are encouraged to adapt or improve the systems according to your needs.

THE ORIGINAL VIDEO NARRATION AND EXPLANATION LANGUAGE OF THIS COURSE IS TURKISH. ALL VIDEOS ARE VOICED USING ARTIFICIAL INTELLIGENCE. THERE MAY BE ERRORS OR MISREPRESENTATIONS CAUSED BY TRANSLATION. PLEASE CONSIDER THIS BEFORE MAKING YOUR PURCHASE DECISION.

Who this course is for
Anyone who wants to build games from scratch
Developers aiming to generate income through game development
Individuals who want to improve their Unity and gameplay programming skills


Homepage

Code:

https://www.udemy.com/course/unity-3d-defence-and-3-draw-mechanic-games-development

Premium Links

Code:

https://nitroflare.com/view/A803BA2A8694CE7/
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Code:

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[Slon]

Agentic AI Masters 2026: LangChain, LangGraph & CrewAI
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 58h 8m | Size: 33 GB

Master Python to Production-Grade AI Agents: NLP, LLMs, RAG, LangGraph, CrewAI, n8n & Multi-Agent Systems



What you'll learn
Build a solid foundation in Python programming to effectively implement AI concepts and applications.
Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.

Requirements
Basic knowledge on Machine Learning is beneficial but not mandatory

Description
TheAgentic AI Masters 2026 is a complete, end-to-end mastery program designed to take you from Python fundamentals all the way to building autonomous, production-ready AI agents.

This comprehensive course covers the entire modern AI stack. You will start with strong Python foundations and progress through classical NLP techniques (tokenization, stopwords, n-grams, Bag of Words, TF-IDF, POS tagging, NER), word embeddings (Word2Vec CBOW & SkipGram, GloVe, FastText), and deep learning architectures including ANNs, CNNs, RNNs, LSTMs, GRUs, and bi-directional models.

You will then master the revolutionaryTransformer architecture (encoder-only, decoder-only, and full encoder-decoder) and dive deep into Large Language Models - understanding tokens, context windows, prompt engineering, prompt tuning, and working with leading models from OpenAI, xAI, and local deployment using Ollama.

The course features extensive coverage ofRetrieval Augmented Generation (RAG), vector databases vs vector indexes, advanced RAG architectures, evaluation metrics, and RAG assessment frameworks. You will also learn model fine-tuning techniques and how to deploy generative AI applications in production.

In theAgentic AI specialization phase, you will master

- LangChain for building intelligent chains and agents

- LangGraph for creating reliable, stateful, controllable multi-agent workflows

- CrewAI for orchestrating role-based collaborative AI teams

- Low-code automation using n8n

- Implementation of guardrails for safe and reliable agents

- Advanced multi-agent systems design and orchestration

Throughout the program, you will work on multiple real-world projects that simulate industry use cases - from intelligent document Q&A systems and automated research agents to smart assistants, workflow automation, and complex multi-agent solutions.

By the end of this course, you will have the confidence and practical skills to design, develop, evaluate, and deploy sophisticated agentic AI systems that can reason, plan, use tools, and collaborate - making you job-ready for the rapidly growing demand in the agentic AI space.

Whether you are a developer, data scientist, AI engineer, or tech professional looking to future-proof your career,Agentic AI Masters 2026 delivers the deepest, most practical, and up-to-date education in building the next generation of AI agents.

Who this course is for
Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
Professionals looking to enhance their expertise in building and deploying generative AI models
Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.


Homepage

Code:

https://www.udemy.com/course/agentic-ai-masters-langchain-langgraph-crewai-n8n

Premium Links

Code:

https://nitroflare.com/view/7FF68C3B5C1B62F/
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https://rapidgator.net/file/c2a26b20030aaae3e51f38cbe60f3b0f/
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[Slon]

Scalable Flutter: Supabase, Clean Architecture & Riverpod
Published 7/2026
Created by Sangwook Cho
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 165 Lectures ( 20h 34m ) | Size: 25.9 GB

Master professional Flutter: Build a scalable community app with Clean Architecture, Supabase, Riverpod, and Monorepo.



What you'll learn
⚡ Practical Clean Architecture: Learn to design robust, scalable, and testable app structures by separating code into Presentation, Domain, and Data layers.
⚡ Fullstack with Supabase: Build and integrate Authentication, Database, Storage, and Realtime features using Supabase without writing complex backend
⚡ State Sync with Riverpod & Event Bus: Master advanced state management by implementing an Event Bus architecture to keep data consistent across multiple screens
⚡ Building a Monorepo Environment: Experience professional development by decoupling features into reusable packages to maximize code efficiency.
⚡ Advanced Features: Implement industry-standard features like debounced reactive search, universal infinite scroll, and realtime notification systems.

Requirements
❗ Basic Flutter Knowledge: Ability to use basic widgets and a foundational understanding of asynchronous programming (async/await).
❗ Dart Fundamentals: Familiarity with basic OOP concepts like classes and inheritance.
❗ State Management Exposure: Experience with any state management solution (Provider, Riverpod, Bloc, GetX, etc.) is helpful. Even if you are new to Riverpod, basic principles will carry you through.
❗ Basic SQL CRUD: A basic understanding of reading/writing data is recommended. Complex queries and RLS policies will be covered step-by-step in the course.
❗ A Growth Mindset: You don't need to be an expert. If you have the will to learn scalable architecture, you are ready!

Description

"Go beyond Flutter basics and become an architect capable of designing professional, production-ready apps."
Are you ready to move past simple Counter or TODO apps and tackle the complex challenges of real-world services? If you've experienced the frustration of code becoming tangled as you add features, or felt the fragility of your app with every small change, this course is designed for you.

This is more than just a tutorial on building an app; it is a deep dive intoproven development methodologies for creating scalable and maintainable applications that stand the test of time.

Why This Course Matters in the AI Era
In an era where AI can generate code snippets in seconds, what is the role of a professional developer?

✨Beyond Snippets: AI is excellent at writing functions, but it cannot yet design a complex, interconnected system. UnderstandingClean Architecture means you know how to organize those AI-generated pieces into a scalable whole.

✨The Architect's Advantage: As AI lowers the barrier to entry for coding, the market will be flooded with "fragmented code." The true value will lie in theArchitect-the one who can manage technical debt, ensure maintainability, and design a robust "vessel" (Architecture) to hold the logic.

✨Future-Proof Your Career: This course evolves you from a "coder" who follows instructions to an"architect" who masters AI as a tool, rather than being replaced by it.

The Three Pillars of This Course
We will build a high-performance'Community Board' app from scratch, grounded in three essential technical pillars for large-scale projects

✨Robust Architecture (Clean Architecture): Bring order to chaotic code. Learn to separate concerns into distinct layers, creating a structure that is easy to test, maintain, and evolve.

✨Modern Backend (Supabase): Bypass complex server setups. Leverage Supabase-a powerful Backend-as-a-Service-to implement databases, authentication, and realtime features in a fraction of the time.

✨Efficient State Management (Riverpod & Event Bus): Master Riverpod, the industry standard for Flutter, and combine it with a Global Event Bus architecture to synchronize data across multiple screens with elegance and precision.

Key Learning Features
✨Build a Real-World Community App: Implement industry-standard features including Authentication, Post CRUD, Real-time likes/comments, Profile management, and Reactive search.

✨Professional Monorepo Setup: Learn to decouple features into independent packages to maximize code reusability and manage large-scale projects like a pro.

✨Advanced Streams & Real-time Control: Master Supabase Realtime for instant data syncing and utilize advanced stream techniques like Debounce and timer-based input control for an optimized search experience.

✨The Essence of Scalability: Design an architecture so flexible that you could swap your state management tool without touching a single line of your core business logic.

Curriculum Roadmap
✨Foundations: Master the VS Code environment and essential productivity tools to eliminate boilerplate code.

✨Architecture: Establish core principles of Clean Architecture, focusing on the dependency rule and separation of concerns.

✨Infrastructure: Build a Monorepo environment and design a Supabase backend (SQL, RLS, Functions, and Triggers).

✨Development: Implement core features (Auth, Posts, Search) using Riverpod combined with a Global Event Bus.

✨Advanced: Deep dive into Supabase Realtime for live data detection and UI synchronization.

✨Next Level: Project review and a strategic look at how this architecture extends to other state management libraries.

Who is this course for?
✨ Flutter developers who have built basic apps and are ready to tackle professional, production-ready architectures.

✨ Developers struggling with maintenance as their projects grow and seeking "Clean Architecture" as a definitive solution.

✨ Solo developers or startup engineers who want to launch high-performance apps quickly using Supabase (BaaS).

✨ Job seekers looking to showcase "Scalable App Design" and "Monorepo Management" skills in their professional portfolio.

Prerequisites
✨Flutter & Dart Basics: You should be comfortable with basic widgets and have a foundational understanding of asynchronous programming (async/await).

✨State Management Exposure: Experience with any state management solution (Provider, Riverpod 2, BLoC, GetX, etc.) is helpful. Even if you are new to Riverpod, you will be able to follow along.

✨Basic SQL Knowledge: A basic understanding of reading/writing data is recommended. Complex database policies (RLS) and functions will be covered step-by-step.

Lecture Materials and Source Code Provided
✨ High-quality PDF slides: PDF presentation materials containing key theories and architecture diagrams for each section are provided. (Download from the Resources tab for each section)

✨ Final source code provided

Foundation Level: Complete code for productivity tools and core syntax (such as data_class) covered in Section 2 is provided.

Main Project: The monorepo structure and final implementation code for the entire community_board app starting in Section 4 is provided.

✨ Links to the source code and usage instructions will be provided in detail in the first lecture of Sections 2 & 4.

Don't just learn 'how' to build; understand 'why' we design this way. Join me on this journey to elevate your development skills to the next level!

Who this course is for
⭐ Flutter developers who have built basic apps and are ready to tackle professional, real-world architectures.
⭐ Developers struggling with maintenance as code grows and seeking "Clean Architecture" as a solution.
⭐ Solo developers or startup engineers who want to launch high-performance apps quickly using Supabase (BaaS).
⭐ Those looking to master Riverpod by combining it with structured architecture rather than just simple state updates.
⭐ Students or job seekers who want to showcase "Scalable App Design" skills in their portfolio.

Code:

https://anonymz.com/?https://www.udemy.com/course/scalable-flutter-supabase-clean-architecture-riverpod/

Premium Links

Code:

https://nitroflare.com/view/EE2B89DB2701A95/
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Code:

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[Slon]

Econometrics for Finance, Economics & Data Science
Published 7/2026
Created by Piyush Dave
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 60 Lectures ( 26h 1m ) | Size: 30.5 GB

Master regression, time series, forecasting, financial econometrics, and real-world data analysis with practical example



What you'll learn
⚡ Understand econometric concepts, statistical foundations, and regression analysis from beginner to advanced level.
⚡ Build, interpret, and validate simple and multiple regression models using real-world economic and financial datasets.
⚡ Detect and solve econometric problems including heteroscedasticity, autocorrelation, and multicollinearity.
⚡ Apply time series, financial econometrics, and forecasting techniques to practical business, finance, and research problems.

Requirements
❗ No prior knowledge of econometrics is required. Basic mathematics and statistics are helpful but not mandatory. Anyone interested in data analysis, economics, finance, or research can follow this course. Familiarity with Excel is beneficial, and examples using R/Python are optional.

Description
Econometrics is one of the most valuable analytical skills for students, researchers, economists, finance professionals, and data analysts. This comprehensive course is designed to help you master econometric techniques from the fundamentals to advanced applications through a practical and structured learning approach.

You'll begin by understanding the statistical foundations required for econometrics before moving into simple and multiple regression analysis, hypothesis testing, model building, and interpretation of results. As the course progresses, you'll learn how to identify and solve common econometric challenges such as multicollinearity, heteroscedasticity, and autocorrelation.

The course also introduces time series econometrics, forecasting techniques, volatility modeling, financial econometrics, and asset pricing concepts that are widely used in academia, quantitative finance, investment research, and business analytics.

Rather than focusing only on mathematical theory, this course emphasizes practical understanding and real-world applications. Every concept is explained step by step using intuitive examples, enabling you to confidently analyze data and interpret econometric models.

By the end of this course, you'll be able to build and evaluate regression models, perform statistical analysis, forecast future trends, interpret econometric results, and apply these techniques to economics, finance, business, and research projects.

Whether you're preparing for university examinations, conducting academic research, working in finance, pursuing a career in data analytics, or simply looking to strengthen your quantitative skills, this course provides the complete foundation you need.

What You'll Learn

✨ Master econometric concepts from beginner to advanced level.

✨ Build and interpret simple and multiple regression models.

✨ Perform hypothesis testing and evaluate model performance.

✨ Diagnose and correct multicollinearity, heteroscedasticity, and autocorrelation.

✨ Apply time series analysis and forecasting techniques.

✨ Understand financial econometrics and volatility modeling.

✨ Analyze real-world economic and financial datasets.

✨ Gain practical skills applicable in research, finance, business analytics, and data science.

Who this course is for
⭐ This course is designed for undergraduate and postgraduate students, MBA and economics learners, finance professionals, data analysts, researchers, aspiring data scientists, CFA/FRM candidates, and anyone who wants to master econometrics for academic, business, or financial applications. It is suitable for both beginners and professionals looking to strengthen their analytical skills.

Code:

https://anonymz.com/?https://www.udemy.com/course/econometrics-for-finance-economics-data-science

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[Slon]

FastAPI: Crea APIs eficientes con Python
Last updated 5/2026
Created by Fernando Herrera, {d/t} - DevTalles, Ricardo Cuéllar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: Spanish + subtitle | Duration: 317 Lectures ( 36h 16m ) | Size: 32.8 GB

Pydantic, Bases de datos, SQLAlchemy, SQLModel, JWT, Funciones síncronas y asíncronas, middlewares, alembic y más



What you'll learn
⚡ Conocer las bases del Framework FastAPI
⚡ Crear APIs con FastAPI
⚡ Usar FastAPI con SQLAlchemy
⚡ Usar FastAPI con SQLModel
⚡ Validaciones con Pydantic
⚡ FastAPI Middlewares, Queryparams, seguridad con JWT
⚡ Migraciones con Alembic

Requirements
❗ Python básico
❗ SQL Básico
❗ Control de versiones con git

Description

FastAPI: Crea APIs eficientes con Python
Bienvenidos alcurso de FastAPI, este curso tiene como objetivo llevar tus conocimientos dePython al área dedesarrollo de APIs, llevando tus conocimientosdesde cero hasta un nivel competitivo en el mercado laboral. Este curso te llevará desde las bases de FastAPI hastaconstruir APIs listas para ser desplegadas utilizando únicamente elframework FastAPI.

El curso cuenta consecciones introductorias al framework,mini aplicaciones para explicar conceptos, y secciones en las cuales vamosconstruyendo una API conforme aprendemos y aplicamos lo aprendido.

También cuentas con unasección introductoria a Python para que puedas refrescar conceptos o, si te aventuraste a ir directo al framework, también puedas tomar losconocimientos más esenciales del lenguaje.

FastAPI es uno de los frameworks más poderosos y usados para la construcción de APIs de forma rápida y eficiente. Con él puedestransformar una idea en una API lista para ser consumida por un servicio o un frontend en muy poco tiempo, porque la velocidad de desarrollar un CRUD y funciones personalizadas nos da una ventaja competitiva en el mercado.

Lo mejor es que FastAPI te permite crearAPIs reales y eficientes: desde unsimple CRUD hasta unsistema de e-commerce o unared social completa. Esseguro, escalable y cuenta con unaenorme comunidad que te respalda en cada paso, además de que esta en constante crecimiento.

En pocas palabras:aprender FastAPI es una inversión en tu futuro como programador. Te dará las herramientas paracrear proyectos profesionales,abrir más oportunidades laborales ydiferenciarte en un mercado que cada vez demanda más desarrolladores con estas habilidades.

¿Qué aprenderás en el curso?
Estos son algunos de los temas que veremos

✨Introducción a FastAPI

✨Tipados y validaciones

✨Pydantic

✨Validación de parámetros y query params

✨Base de datos

✨SQLAlchemy

✨Arquitectura y modularización

✨Dependencias

✨Seguridad y JWT

✨Funciones asíncronas y síncronas

✨Middlewares

✨SQLModel

✨Migraciones con Alembic

✨PostgreSQL

✨Despliegue en render

✨Y muchas cosas más.

Objetivo del curso
El objetivo principal es queconozcas y aprendas FastAPI para que puedasconstruir APIs completas para MVPs yproyectos rápidos con un solo framework, aplicandoestándares actuales del desarrollo profesional.

Cada sección fue pensada para queconozcas una parte del framework con ejemplos prácticos. En algunas secciones aplicamos todos los conocimientos y los plasmamos en unproyecto MVP.También al final de cada sección puedes encontrar un cuestionario para reforzar los conocimientos teóricos.

Resultados al finalizar
Al finalizar el curso estarás preparado para

✨Enfrentar proyectos reales con Python

✨Postular a empleos que usen FastAPI

✨Ser parte esencial de un equipo de desarrollo

✨ O inclusolanzar tus propios proyectos.

¡Te espero en el curso y deseo muchoéxito en tu trayectoria profesional!

Who this course is for
⭐ Desarrolladores en Python principiantes e intermedios
⭐ Desarrolladores con interés en Python
⭐ Desarrolladores con interés en desarrollo backend
⭐ Interesados en aprender a crear APIs con FastAPI
⭐ Desarrolladores que han manejado algún otro framework y quieren interactuar con FastAPI
⭐ Personas que deseen conocer las bases de FastAPI
⭐ Personas que quieren una guía de uso de FastAPI
⭐ Personas que necesiten aprender FastAPI fácil y rápido

Code:

https://anonymz.com/?https://www.udemy.com/course/fastapi-apis-eficientes

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[Slon]

Master 20+ AI Tools for Architecture & Interior Design
Published 6/2026
Created by Naman Mehta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 35h 3m ) | Size: 37.7 GB

Build AI workflows for visualization, documentation, agents & delivery using ChatGPT, Midjourney, Claude & 20+ AEC tools



What you'll learn
⚡ Generate photorealistic architectural renders and interior visuals using Midjourney, xFigura, Flora AI, and xFigura with multi-angle consistency system
⚡ Build AI-powered agentic workflows using Claude, Notion AI, and MCP to automate documentation, BOQ generation, and project management tasks in AEC
⚡ Train custom LoRA models on architectural datasets for brand-consistent visualization outputs across projects and client deliverables
⚡ Automate compliance checks, by-law research, and technical documentation using ChatGPT, Gemini, Perplexity, and NotebookLM
⚡ Design and deploy AI micro-apps and workflow automations for AEC using Google AI Studio, Glyph Copilot, Ideatura AI, and Notion
⚡ Set up repeatable prompt libraries, QA grids, and visualization consistency systems to eliminate manual rework and reduce iteration time by 5-10x
⚡ Package and deliver client-ready project narratives, SOPs, and handoff bundles using Gamma, Napkin AI, and Canva AI
⚡ Apply WASP, RCIS, and Big LLM frameworks to integrate AI tools strategically across the full AEC project lifecycle

Requirements
❗ No prior AI experience needed - all tools and workflows are taught from scratch with live demonstrations
❗ A laptop or desktop with internet access; no expensive software or subscriptions required to get started
❗ Basic familiarity with architectural or interior design concepts is helpful but not mandatory
❗ An open mindset to learn new AI tools - curiosity and willingness to experiment is all you need

Description

This is a live-recorded cohort program - 40+ hours of real, unscripted AI implementation sessions built specifically for architects, interior designers, BIM professionals, and AEC teams.
You're not getting slides and theory. You're getting front-row access to live cohort sessions where working AEC professionals learned, built, and deployed AI systems in real time.

What's inside
✨ 15 recorded sessions covering the full AI workflow stack for AEC

✨ AI visualization systems using Midjourney, Flora AI, xFigura, Freepik, and Leonardo

✨ Custom LoRA model training for brand-consistent architectural renders

✨ Agentic workflows and MCP-based automation using Claude and Notion AI

✨ BOQ generation, documentation automation, and compliance checking

✨ Site analysis, test fitting, and parametric design using AI

✨ Custom software development for AEC using Google AI Studio

✨ Capstone delivery and packaging using Gamma, Napkin AI, and Canva

Tools you'll work with
ChatGPT, Gemini, Claude, Perplexity, Midjourney, Flora AI, xFigura, Freepik, Leonardo, Notion AI, NotebookLM, Glyph Copilot, Ideatura AI, Google AI Studio, Gamma, Napkin AI, Canva AI, and more.

Who this is for
Architects, interior designers, visualization professionals, BIM engineers, project managers, AEC students, and small firms who want repeatable AI systems - not random tools.

No prior AI experience needed. Every session is taught from scratch with live tool demonstrations, real project contexts, and practical workflows you can apply immediately.

This is the same content that has trained 3,000+ AEC professionals across 35+ countries. Now available on-demand, so you can learn at your own pace with lifetime access.

Start building your AI-powered AEC practice today.

Please Read Before Enrolling

This course containslive recorded sessions from our AI in AEC Cohort, conducted live inMay-June 2026. What you're accessing is the complete, unedited recording of a real cohort experience - meaning you'll see genuine live instruction, real-time problem solving, and authentic peer interactions exactly as they happened.

You may notice that certain tools, resources, or references are mentioned across various external platforms during the sessions. Rest assured -all essential resources, reference documents, templates, and session tasks have been compiled and uploaded directly within each module via an organized Google Drive link, so you have everything you need in one place.

This is a self-paced course. There are no live sessions, no weekly deadlines, and no mentorship included with this purchase. You get full, lifetime access to all 40+ hours of content to learn at your own pace.

If you ever have trouble accessing any of the course materials or drive links,don't hesitate to reach out directly - I'm always happy to help get you sorted quickly.

Otherwise, the content is structured, practical, and ready for you to dive in. Let's get to work. Give me an elaborate, minimal, clean, and professional prompt for a poster of this cohort that I can input in Flora to generate 5-10 options for. Give different themes for each prompt for the poster. Please keep in mind the following aspect ratio of the poster.

Who this course is for
⭐ Architects and interior designers who want to automate visualization, documentation, and client delivery using AI tools
⭐ BIM professionals and computational designers looking to integrate AI agents and agentic workflows into their AEC practice
⭐ Visualization artists and render professionals who want to build consistent, multi-angle AI image pipelines using MidJourney, Flora AI, and LoRA models
⭐ Project managers and AEC team leads who want to reduce manual coordination, automate BOQs, and streamline project documentation
⭐ Architecture students and recent graduates who want to future-proof their skills with real-world AI workflows used by top firms
⭐ Small AEC firms and freelancers who want repeatable AI systems - not random tools - to scale their output without hiring more staff

Code:

https://anonymz.com/?https://www.udemy.com/course/master-20-ai-tools-for-architecture-interior-design

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[Slon]

Unreal Engine 5 Material Masterclass for Beginners
Published 7/2026
Created by Tamil Selvam
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 63 Lectures ( 12h 35m ) | Size: 21.7 GB

Learn PBR materials, master materials, material functions, landscapes, water, glass, ice, RVT, and production-ready work



What you'll learn
⚡ Learn the Unreal Engine 5 Material Editor from beginner level.
⚡ Understand PBR workflow: Base Color, Roughness, Metallic, Normal maps.
⚡ Create Master Materials and Material Instances for faster workflow.
⚡ Material Functions, Landscape Material, Material Blending
⚡ Runtime virtual Texture, Single water material, Layered Material, Mesh Paint

Requirements
❗ Basic computer knowledge is enough. This course starts from the fundamentals.
❗ Unreal Engine 5 installed on your computer.
❗ No programming or Blueprint knowledge is required.
❗ Basic interest in game art, 3D environments, or real-time design is helpful.

Description
Welcome toUnreal Engine 5 Materials Masterclass, a complete step-by-step course designed to help you understand and create professional materials inside Unreal Engine.

If you have ever opened the Unreal Engine Material Editor and felt confused by the nodes, parameters, texture maps, and material settings, this course will guide you from the basics to advanced production workflows.

We will start with the fundamentals of PBR materials and learn how Base Color, Metallic, Roughness, Specular, Normal Maps, and Ambient Occlusion work. Then we will build reusable Master Materials, Material Instances, Material Functions, and advanced blending systems that can be used in real projects.

You will also learn how to create practical environment materials such as ground, grass, rock, sand, snow, puddles, water, glass, ice, frozen lake, iceberg materials, and landscape materials. We will also cover advanced Unreal Engine workflows such as Runtime Virtual Textures, World Aligned Materials, Vertex Painting, Height-Based Blending, Material Layers, Auto Landscape Materials, Procedural Grass, and Substrate Materials.

This course is not just about connecting nodes. You will understand why each node is used, how material systems are built, and how to create reusable workflows for games, architectural visualization, cinematics, and virtual production.

I amTamil Selvam, anEpic Games Unreal Authorized Instructor, Director ofYellow Tree Academy, with14+ years of Unreal Engine experience and more than20 years of teaching experience. I created this course to help beginners and artists build strong Unreal Engine material skills with practical examples.

By the end of this course, you will be able to create your own production-ready materials and build a reusable material library for your future Unreal Engine projects.

Who this course is for
⭐ Beginners who want to learn Unreal Engine 5 materials from scratch
⭐ Game design, animation, VFX and 3D students who want better material skills.
⭐ Environment artists who want to create realistic and reusable UE5 materials.
⭐ Unreal Engine learners who want to build portfolio-ready material projects.


Homepage

Code:

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[Slon]

Kinstretch with Beard
Amir Zandinejad | Duration: 54:36 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 124 GB | Language: English

KINSTRETCH With Beard is a monthly mobility membership. You get access to over 200 prerecorded videos and over 100 pre-made programs. You will have exact guidance on where to start and how to progress.

Develop the capacity to overcome injuries, reduce pain, increase functional range of motion, and become the strongest & healthiest version of yourself.


Homepage

Code:

https://anonymz.com/?https://kinstretchwithbeard.vhx.tv/

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[Slon]

Advanced PowerShell: PowerShell Data Mastery
Published 7/2026
By Brien Posey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 15h 42m | Size: 26.7 GB

Unlock the full potential of your data with PowerShell by learning how to build advanced PowerShell tools for leveraging and visualizing complex data from multiple sources.

Overview
Take your PowerShell skills to the next level with Advanced PowerShell: PowerShell Data Mastery. This advanced course is designed to help you harness the power of PowerShell to work with complex data sets, create interactive visualizations, and build robust applications. Youll start by learning how to extend PowerShells capabilities using C#, Python, and .NET integration, and then dive into working with dates, databases, and SQL applications. With a focus on practical examples and real-world scenarios, youll gain hands-on experience in building custom classes, modules, and database-driven applications.
As you progress through the course, youll learn advanced techniques for data visualization, including chart controls, sorting, and customization. Youll also explore how to work with multiple data sources, handle errors, and optimize script performance. The course culminates in a capstone project where youll build a comprehensive IT ticketing system, leveraging all the skills and knowledge youve acquired throughout the course. By the end of this course, youll be equipped with the expertise to interact with complex data sets, create visualizations, and build robust applications that drive business value. Whether youre a seasoned PowerShell user or an IT professional looking to expand your skillset, Advanced PowerShell: PowerShell Data Mastery will help you unlock the full potential of your data and take your career to the next level.

Skill Level
Intermediate to advanced

Learn How To
⚡ Build PowerShell scripts that leverage SQL Server
⚡ Visualize data with charts and graphs
⚡ Combine multiple data sources
⚡ Harness the power of the .NET Framework

Course Requirement
The Beginner course and the User Interface Design course should be considered prerequisites for taking this course.

Who Should Take This Course
These courses are designed for IT professionals, system administrators, and power users who want to move beyond basic scripting and learn how to build polished, interactive tools using PowerShell. Whether youre new to PowerShell or looking to deepen your skills, youll learn how to automate real-world administrative tasks, create intuitive user interfaces, and develop advanced applications that streamline everyday operations. The material is ideal for learners who enjoy problem-solving, value efficiency, and want to bridge the gap between command-line automation and professional-grade software design.

About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at https://www.informit.com/video.



Premium Links

Code:

https://nitroflare.com/view/C9CA2F8BCEDE8C2/
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Download from RapidGator

Code:

https://rapidgator.net/file/c5ae838bd74392aba3236e80c2589bc2/
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[Slon]

100 Days of Code™: The Complete Python Pro Bootcamp
Last updated 6/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 56h 48m | Size: 30 GB

Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!



What you'll learn
You will master the Python programming language by building 100 unique projects over 100 days.
You will learn automation, game, app and web development, data science and machine learning all using Python.
You will be able to program in Python professionally
You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
Create a portfolio of 100 Python projects to apply for developer jobs
Be able to build fully fledged websites and web apps with Python
Be able to use Python for data science and machine learning
Build games like Blackjack, Pong and Snake using Python
Build GUIs and Desktop applications with Python

Requirements
No programming experience needed - I'll teach you everything you need to know
A 64-bit Mac or PC computer with 4GB of memory and access to the internet
No paid software required - I'll teach you how to use PyCharm, Jupyter Notebooks and Google Colab
I'll walk you through, step-by-step how to get all the software installed and set up

Description
Welcome to the 100 Days of Code - The Complete Python Pro Bootcamp,the only course you need to learn to code with Python. With over 500,000 5 STAR reviews and a 4.8 average, my courses are some of the HIGHEST RATED courses in the history of Udemy!

100 days, 1 hour per day, learn to build 1 project per day, this is how you master Python.
At 60+ hours, this Python course is without a doubt the most comprehensivePython course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here's why

- The course is taught by the lead instructor at the App Brewery, London's best in-person programming Bootcamp.

- The course has been updated and you'll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.

- This course doesn't cut any corners, there are beautiful animated explanation videos and tens of real-world projects which you will get to build. e.g. Tinder auto swiper, Snake game, Blog Website, LinkedIn Auto Submit Job Application

- The curriculum was developed over a period of2 years, with comprehensive student testing and feedback.

- We've taught over 600,000 students how to code and many have gone on to change their livesby becoming professional developers or starting their own tech startup.

- You'll save yourself over $12,000by enrolling, and still get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming Bootcamp.

- The course is constantly updated with new content, with new projects and modules determined by students - that's you!

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.

The course includes over 65 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including

- Python 3 - the latest version of Python

- PyCharm, Jupyter Notebook, Google Colab

- Python Scripting and Automation

- Python Game Development

- Web Scbanging

- Beautiful Soup

- Selenium Web Driver

- Request

- WTForms

- Data Science

- Pandas

- NumPy

- Matplotlib

- Plotly

- Scikit learn

- Seaborn

- Turtle

- Python GUI Desktop App Development

- Tkinter

- Front-End Web Development

- HTML 5

- CSS 3

- Bootstrap 4

- Bash Command Line

- Git, GitHub and Version Control

- Backend Web Development

- Flask

- REST

- APIs

- Databases

- SQL

- SQLite

- PostgreSQL

- Authentication

- Web Design

- Deployment with GitHub Pages, Heroku and GUnicorn

- and much much more!

By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.

You'll also build a portfolio of 100 projects that you can show off to any potential employer. Including

- Blackjack

- Snake Game

- Pong Game

- Auto Swipe on Tinder

- Auto Job Applications on LinkedIn

- Automate Birthday Emails/SMS

- Fully Fledged Blog Website

- Build Your Own Public API

- Data Science with Google Trends

- Analysing Lego Datasets

- Google App Store Analysis

- and much much more!

Sign up today, and look forward to
- Video Lectures

- Code Challenges and Exercises

- Fully Fledged Projects

- Quizzes

- Programming Resources and Cheatsheets

- Downloads

- Our best selling 12 Rules to Learn to Code eBook

- ,000+ Python Pro Bootcamp course materials and curriculum

Don't just take my word for it, check out what existing students have to say about my courses

"Angela is just incredible, awesome and just fantastic in this course. I've never had such an instructor; detailed in every aspect of the course, gives precise explanations, gives you the anxiety to learn etc. She's got that ability to make fun while explaining things for better understanding. I really love this course." - Ekeu MonkamUlrich

"Angela is very thorough without ever being boring. I've taken MANY online courses in my life including my Bachelors and Masters degrees. She is by far the best instructor I've ever had. This course is packed with thousands of dollars worth of great instruction, and paced well enough for anyone to pick coding up and run with it- Thank you!" - J Carlucci

"Love the way Angela explains things. Easy to follow and full of logic. I can say she must spend a lot of energy creating this great course. Thank you and I recommend it to all who's interested in coding!" - Yiqing Zheng

"So far (on my third day) this course has taught me more than I was able to learn in multiple other programming courses. This course is clearly outlined and builds upon itself gradually in an easy to understand way." - Normal Ramsey

"It's a different approach to teaching Web Development. I like that you are given everything possible to succeed from the onset." - Ronick Thomas

The tutor is simply AMAZING, by far the best tutor I have ever had. I would give her 10 stars out of 5. She is not just punching the code and talking to herself, but she is actually explaining things. She keeps on giving really useful hints and she will give you a great load of other references. I always knew what I was doing and why I was doing it. All the extra challenges have just made me remember and understand things better. - Peter Dlugos

REMEMBER. I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.
So what are you waiting for? Click the buy now button and join the world's highest-rated development course.

Who this course is for
If you want to learn to code from scratch through building fun and useful projects, then take this course.
If you want to start your own startup by building your own websites and web apps.
If you are a complete beginner then this course will be everything you need to become a Python professional
If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.
If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up.


Homepage

Code:

https://www.udemy.com/course/100-days-of-code

Code:

https://nitroflare.com/view/AA76A159E4BF7EA/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part1.rar
https://nitroflare.com/view/07721643CB7C42B/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part2.rar
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https://nitroflare.com/view/98432B203D1F80A/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part7.rar

Code:

https://rapidgator.net/file/9955d1d22731cc0574f752012ac450ea/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part1.rar.html
https://rapidgator.net/file/a27bbcb7dd9636c792d91a5cc5fb0b8a/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part2.rar.html
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https://rapidgator.net/file/a73582f275794f698258c1bb2ebeca46/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part6.rar.html
https://rapidgator.net/file/3499680dc34a340f773e9c3bc2851c46/100_Days_of_CodeTM_The_Complete_Python_Pro_Bootcamp.part7.rar.html

[Slon]

Build Agentic AI Apps with OutSystems ODC Using RAG
Published 7/2026
Created by Ankit Gangrade
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 55 Lectures ( 9h 26m ) | Size: 20.2 GB

Master Agentic AI using OutSystems ODC, Azure AI Search & a production-ready RAG application: English



What you'll learn
⚡ Learn how enterprise AI applications are built using OutSystems ODC and Azure AI.
⚡ Build a real-world AI Knowledge Assistant using Retrieval-Augmented Generation (RAG).
⚡ Understand Agentic AI concepts and enterprise AI architecture.
⚡ Integrate Azure AI Search with OutSystems ODC.
⚡ Design AI applications with human handoff and support workflows.

Requirements
❗ Basic computer skills
❗ No prior knowledge of AI, RAG, or Azure AI Search is required.
❗ No prior experience with OutSystems ODC is required.

Description
Everyone is learning AI.

Very few are learning how to build AI applications that enterprises actually deploy.

Instead of spending hours writing prompts or creating another chatbot, you'll build a production-style AI application usingOutSystems ODC, Azure AI Search, Agentic AI, and Retrieval-Augmented Generation (RAG).

Throughout this course, you'll developIntelliCampus-an Enterprise AI Knowledge Assistant that answers questions from real documents using a complete RAG pipeline. When the AI cannot confidently answer a question, it automatically creates a support ticket and hands the conversation over to a human administrator.

This is the same architectural approach used by modern enterprise AI copilots and intelligent knowledge assistants.

What You'll Build
✨ Enterprise AI Knowledge Assistant

✨ Production-ready RAG pipeline

✨ Azure AI Search integration

✨ Document upload, indexing, and retrieval

✨ Grounded AI responses from enterprise knowledge

✨ Role-based authentication and authorization

✨ Student and Admin portals

✨ AI-to-human handoff through a Support Ticketing System

What You'll Learn
✨ OutSystems Developer Cloud (ODC)

✨ Enterprise application architecture

✨ Agentic AI fundamentals

✨ Retrieval-Augmented Generation (RAG)

✨ Azure AI Search & Azure Portal Setup

✨ Document chunking and indexing

✨ Vector Search

✨ Prompt orchestration

✨ AI grounding techniques

✨ Designing production-ready enterprise AI applications

Who this course is for
⭐ Software Engineers, AI Engineers, OutSystems Developers, Low-Code Developers
⭐ Computer Science & Engineering Students
⭐ Anyone interested in building enterprise AI applications

Code:

https://anonymz.com/?https://www.udemy.com/course/outsystems-odc-agentic-ai

Premium Links

Code:

https://nitroflare.com/view/21F1E29CCD0A847/
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Code:

https://rapidgator.net/file/dedcdb8786b6cbaf1a69192eb27744ff/
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https://rapidgator.net/file/49be9fff7c257b7d7890ff856575448a/
https://rapidgator.net/file/18b61052c4f3b2b488fb74bc87b43567/
https://rapidgator.net/file/dac6bf8af7c54492ae916bcf304b1fc0/

[Slon]

AI Security & Governance Masterclass: Build, Attack & Defend
Published 7/2026
Created by Arjun Vaid, college of AI
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 159 Lectures ( 26h 33m ) | Size: 25.9 GB

Secure AI apps, RAG, tools, memory, and agents while mastering risk, compliance, guardrails, and governance.



What you'll learn
⚡ Identify major AI security threats across chatbots, RAG systems, tools, memory, and autonomous agents.
⚡ Build and secure AI applications using Python, Ollama, RAG, tool calling, memory, and agents.
⚡ Perform and defend against prompt injection, jailbreaks, document poisoning, and memory poisoning.
⚡ Apply the OWASP Top 10 for LLM Applications to real-world AI systems.
⚡ Implement prompt validation, risk scoring, guardrails, content filtering, and policy enforcement.
⚡ Secure AI tool use with input validation, least-privilege permissions, and human approval workflows.
⚡ Build an integrated AI Security Gateway for prompts, RAG, tools, memory, and agent actions.
⚡ Create AI governance dashboards for inventory, usage, cost, risk, evaluation, drift, and compliance.
⚡ Map AI controls to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
⚡ Build an Enterprise AI Governance Command Center with audit trails, incidents, controls, evidence, and executive metrics.

Requirements
❗ No prior AI security or AI governance experience is required.
❗ Basic computer skills and a willingness to learn through hands-on projects.
❗ Some familiarity with Python is helpful, but beginners can follow the guided demonstrations.
❗ A Windows, macOS, or Linux computer capable of running Python development tools.
❗ Permission to install Python, Visual Studio Code, Git, Ollama, and Docker.
❗ Basic understanding of AI, chatbots, or generative AI is useful but not mandatory.
❗ An interest in cybersecurity, AI development, governance, risk, or compliance.
❗ Internet access may be required for downloading software, libraries, and course resources.

Description
This course contains the use of artificial intelligence.

Build the practical skills required todesign, attack, secure, monitor, and govern modern AI applications in this comprehensiveAI Security and Governance Masterclass.

As organizations rapidly adoptgenerative AI,large language models,RAG applications, andautonomous AI agents, security and governance have become essential. AI systems introduce risks that traditional application security alone cannot address, includingprompt injection,jailbreak attacks,document poisoning,memory manipulation,unauthorized tool execution, sensitive data exposure, hallucinations, and uncontrolled agent actions.

This course takes a hands-on, project-based approach. You will not only study AI security concepts-you will build vulnerable AI systems, attack them, understand their weaknesses, and implement practical defenses.

You will begin by setting upPython,Visual Studio Code,Git, andOllama, then build your first AI chat assistant. You will explore theAI threat landscape, understand theOWASP Top 10 for LLM Applications, and learn how security differs across traditional software and AI-powered systems.

You will perform real-worlddirect prompt injection andAI jailbreak attacks, then create prompt validation, risk scoring, filtering, and guardrail mechanisms. You will build a completeRetrieval-Augmented Generation application, attack it using malicious documents, poison retrieved context, and secure it through trusted-source validation, context isolation, content sanitization, and enforcement controls.

The course also coversAI tool-calling security, including parameter injection, excessive permissions, unauthorized actions, input validation, least-privilege access, and human approval for sensitive operations. You will build persistentAI memory, demonstrate memory-poisoning attacks, and implement approval and validation controls before information is stored.

As you progress, you will develop anautonomous AI agent that can plan, reason, use tools, and complete workflows. You will then secure its decision-making process usinghuman-in-the-loop approvals, restricted permissions, action validation, and traceable execution.

You will combine these defenses into an integratedAI Security Gateway covering prompts, RAG, tools, memory, and agents. You will also learn production practices involvingDocker, deployment, security monitoring, logging, audit trails, and incident response.

Beyond technical security, this course provides extensive coverage ofenterprise AI governance. You will build AI inventories, usage dashboards, cost analytics, risk-scoring engines, model-evaluation dashboards, drift-monitoring systems, prompt-governance labs, agent-observability tools, and RAG governance dashboards.

You will learn how to map controls toNIST AI RMF, theEU AI Act, andISO/IEC 42001. Topics include policy management, control evidence, model cards, AI impact assessments, approval workflows, exception management, guardrail effectiveness, governance KPIs, KRIs, incident remediation, and executive reporting.

The final capstone brings everything together as you build anEnterprise AI Governance Command Center connecting AI telemetry, risk, controls, compliance evidence, incidents, remediation, and leadership dashboards.

Whether you are anAI engineer,cybersecurity professional,risk manager,enterprise architect,developer,auditor,compliance leader, ortechnology executive, this course will help you build AI systems that are not only powerful-but alsosecure, responsible, compliant, observable, and enterprise-ready.

Who this course is for
⭐ AI engineers and machine learning engineers building secure AI applications.
⭐ Python developers and software engineers working with LLMs, RAG, tools, and agents.
⭐ Cybersecurity professionals expanding into generative AI and agent security.
⭐ AI governance, risk, and compliance professionals responsible for oversight and controls.
⭐ Enterprise and solution architects designing secure, scalable AI platforms.
⭐ Data scientists and MLOps professionals responsible for model monitoring and evaluation.
⭐ Auditors, privacy specialists, and responsible AI teams assessing AI systems.
⭐ Technology leaders and executives managing enterprise AI risk and adoption.
⭐ Students and career changers seeking practical AI security and governance skills.
⭐ Anyone interested in building AI systems that are secure, compliant, observable, and enterprise-ready.


Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/ai-security-governance-masterclass-build-attack-defend

Code:

https://nitroflare.com/view/827A302E4E26E65/AI_Security_%26_Governance_Masterclass_Build%2C_Attack_%26_Defend.part1.rar
https://nitroflare.com/view/C760FD57FB4DCB8/AI_Security_%26_Governance_Masterclass_Build%2C_Attack_%26_Defend.part2.rar
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https://nitroflare.com/view/942113BE66462E6/AI_Security_%26_Governance_Masterclass_Build%2C_Attack_%26_Defend.part5.rar
https://nitroflare.com/view/6838C551B849DC3/AI_Security_%26_Governance_Masterclass_Build%2C_Attack_%26_Defend.part6.rar

Code:

https://rapidgator.net/file/2b3120df1c11b65933a74ff5fb0d22d8/AI_Security_&_Governance_Masterclass_Build,_Attack_&_Defend.part1.rar.html
https://rapidgator.net/file/22f48f2d6f6c2b01fd417fe7eee5b114/AI_Security_&_Governance_Masterclass_Build,_Attack_&_Defend.part2.rar.html
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https://rapidgator.net/file/9363e7e45d45cd89d2a98642927bd880/AI_Security_&_Governance_Masterclass_Build,_Attack_&_Defend.part4.rar.html
https://rapidgator.net/file/af191de9735fe14f90c47177d7d338a5/AI_Security_&_Governance_Masterclass_Build,_Attack_&_Defend.part5.rar.html
https://rapidgator.net/file/d10bf2d35b40f6714f1ed731bd509393/AI_Security_&_Governance_Masterclass_Build,_Attack_&_Defend.part6.rar.html

[Slon]

( FCCM ) FIDIC Certified Contract Manager Exam Prep Course
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 27h 32m | Size: 22.64 GB

Scenario-based FCCM exam preparation: Red, Yellow & Silver Books (1999 & 2017), Claims, EOT, DAB/DAAB & Golden Principle



What you'll learn
Pass the FCCM exam: format, eligibility, high-yield themes and a 10-week study plan
Apply the Red, Yellow & Silver Books (1999 AND 2017 editions) to real project scenarios
Master Claims under Clause 20: the 28-day Notice, time bars and contemporary records
Navigate the full dispute path: Engineer's determination, DAB/DAAB, NOD and arbitration
Manage EOT, delay damages, Variations, payment machinery and Performance Security
Compare risk allocation across the suite and judge Particular Conditions with the Golden Principles
Command of the claims discipline: the 28-day Notice, the fully detailed claim, contemporary records, time bars
Cross-book risk allocation: site data, fitness for purpose, Exceptional Events vs Force Majeure

Requirements
No prior FIDIC certification needed - construction/engineering project experience helps

Description
"This course contains the use of artificial intelligence."

Pass the FCCM exam - and become the contract manager every FIDIC project needs.
The FIDIC Certified Contract Manager (FCCM) is the flagship credential issued by FIDIC Credentialing Ltd, held by only a few hundred professionals worldwide. It doesn't test whether you can recite contract clauses - it tests whether you can apply them: a late site handover, an unlabelled variation instruction, a missed Notice of Dissatisfaction. 100 scenario-based questions, 250 minutes, open book, 60% to pass.

This course is built for exactly that exam - and for the daily reality of administering FIDIC contracts on live projects.

What makes this course different
Most FIDIC courses teach one book and one edition. The FCCM exam tests six publications: the Red, Yellow and Silver Books in both their 1999 and 2017 editions, plus the Golden Principles. A large share of exam questions turn precisely on what changed between editions - DAB vs DAAB, old Clause 20 vs new Clauses 20/21, Defects Liability vs Defects Notification. This course covers the full examinable scope, edition by edition, clause by clause.

You start with the FCCM Exam Blueprint: eligibility routes, exam format, the examinable scope mapped to every module, high-yield themes, a 10-week study plan and exam-day strategy - including why "open book" is a trap for the unprepared (2.5 minutes per question leaves no time to search a contract you don't already know).

Then you master the machinery of every book

- Red Book 2017 - the reference architecture: the Engineer's dual role, time and programme (Clause 8), Variations (13), payment (14), termination (15-16), Claims (20) and the DAAB (21)

- Red Book 1999 exam core - studied as a comparison, the way the exam tests it

- Yellow Book 1999 & 2017 - Contractor's design, fitness for purpose, Tests after Completion

- Silver Book 1999 & 2017 - EPC/Turnkey: no Engineer, maximum risk transfer, unforeseeable conditions

- Golden Principles - the five tests for when Particular Conditions destroy the FIDIC balance

- Green Book 1999 & 2021 - supplementary short-form coverage for your professional toolkit

Every lesson teaches through the pattern the exam uses: what the clause does → who must act and within what time limit → the risk of missing the deadline → a realistic project scenario. You'll build the reflexes that answer scenario questions: whose clock is running, and what Notice stops it?

What you'll walk away with
- Command of the claims discipline: the 28-day Notice, the fully detailed claim, contemporary records, time bars

- The complete dispute path: determination → DAB/DAAB → NOD → amicable settlement → arbitration

- A working 1999-vs-2017 change log - the exam's favourite hunting ground

- Cross-book risk allocation: site data, fitness for purpose, Exceptional Events vs Force Majeure

- Exam-day strategy: pacing, open-book kit preparation, and how to spot the answer that respects the time bar

- Skills you'll use the day after the exam: on site, in claims, and in contract reviews

Important notes
This is independent, exam-aligned preparation. It is not accredited by, endorsed by, or affiliated with FIDIC Credentialing Ltd or FIDIC. Certification requirements, fees and dates are set by FCL - always verify the official website. This course explains and applies the contracts in original teaching material; you should study alongside your own licensed copies of the FIDIC publications, which you'll also use in the open-book exam.

Enroll now - and walk into the FCCM exam knowing exactly whose clock is running.

Who this course is for
Engineers, contract administrators, QS, planners, claims consultants and PMs preparing for the FCCM exam
Civil, structural, mechanical, and MEP engineers
Project managers and assistant project managers
Contracts and commercial managers
Planning and project controls engineers
Anyone moving from technical delivery into commercial and contract management roles
Professionals on FIDIC-based projects in the Gulf, Africa, Asia and worldwide who want to master contract administration


Homepage

Code:

https://www.udemy.com/course/fccm-fidic-certified-contract-manager-exam-prep-course

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[Slon]

Mandarin Chinese for Beginners: Pinyin, Tones & Speaking
Published 7/2026
Created by Larita Nicolson
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 18h 27m ) | Size: 22.6 GB

Start speaking fast with the right foundations: pinyin, tones, greetings, time & dates. A clear path for busy beginners



What you'll learn
⚡ Master pinyin and the 4 tones so you can pronounce Mandarin clearly and confidently
⚡ Speak in full beginner sentences using high-frequency patterns (questions, negatives, and simple word order)
⚡ Handle everyday basics: greetings, introductions, numbers, time, dates, and age
⚡ Talk about yourself and others: nationality, languages, family members, and occupations
⚡ Navigate daily life topics: transport, directions, weather, sickness, shopping and food
⚡ Build character confidence with 50 key radicals and 30 common measure words

Requirements
❗ No prior Mandarin needed (absolute beginners welcome)
❗ A phone or laptop to replay pronunciation practice
❗ Willingness to practise out loud (5-10 minutes a day makes a big difference)

Description

You don't need 100+ hours of lessons to start speaking Mandarin. You just need the right foundations.
Most beginners struggle because they learn random vocabulary without structure, rush through pronunciation and tones, or get buried under endless content. This course cuts through the noise with a clear, focused roadmap for busy learners.

This course is built for busy beginners who want a clear path and lessons that get to the point.
Taught by Larita Nicolson (金天), a professional Mandarin tutor with 8+ years' experience helping hundreds of Australians speak Mandarin with confidence.

We start with pinyin and tones so you can pronounce words clearly from day one. Then we build through the core beginner topics you'll actually use:greetings, introductions, numbers, time, dates, age, nationality, family, and occupations.

You'll get guided practice, clear examples, and simple repetition drills that help you speak out loud without hesitation.

By the end of these 30 lessons, you'll be able to introduce yourself, handle everyday conversations, talk about time and dates, and ask and answer common questions without freezing.

Praise for Larita: "I love Larita's. The structure and content is unlike anything else"- Jason

"Larita's Journey Chinese framework has helped me build my foundations really well. It's made learning much more fun and practical" - Sarah

"My kids have been tutoring with Larita for years and they love her lessons!" - Mandy

Who this course is for
⭐ Absolute beginners who want a clear, structured start in Mandarin Chinese
⭐ Busy adults who want focused lessons (no long, bloated courses)
⭐ Learners who studied Mandarin before but still struggle with pinyin, tones, or speaking out loud
⭐ Travellers, expats, and practical learners who want everyday Mandarin for real situations
⭐ Students who want a strong foundation before moving into HSK-style study or more advanced conversation

Code:

https://anonymz.com/?https://www.udemy.com/course/mandarin-chinese-for-beginners-pinyin-tones-speaking

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