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Udemy - Generative AI with Python - Core Concepts and Coding Examples

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Added 8 months ago by freecoursewb in Other
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Udemy - Generative AI with Python - Core Concepts and Coding Examples (Size: 3.3 GB)
  1 - 13.txt 5.4 KB
  1 - Artificial Neural Networks.mp4 94.4 MB
  1 - Autoencoders.mp4 243 MB
  1 - Introduction.mp4 36.8 MB
  10 - 22.txt 6.6 KB
  10 - Energy-based Models.mp4 197.2 MB
  11 - 23.txt 5.5 KB
  11 - Diffusion Models.mp4 285.1 MB
  12 - 24.txt 4.4 KB
  12 - Project-1 MiniGPT.mp4 234.3 MB
  13 - Project-2 Images Generation.mp4 98.2 MB
  14 - Project-3 Realistic Images Generation.mp4 90.6 MB
  2 - 11.txt 2 KB
  2 - 14.txt 8.4 KB
  2 - GenAI-AI Introduction.mp4 52.7 MB
  2 - Multilayer Perceptron (MLP).mp4 262.6 MB
  2 - Variational Autoencoders.mp4 124.5 MB
  3 - 12.txt 2.3 KB
  3 - 15.txt 10.4 KB
  3 - Convolutional Neural Networks.mp4 211.3 MB
  3 - Generative Adversarial Networks 1 of 2.mp4 234.1 MB
  3 - Generative modeling.mp4 43.8 MB
  4 - 16.txt 5.6 KB
  4 - Generative Adversarial Networks 2 of 2.mp4 251 MB
  4 - Our First Generative Model.mp4 64.5 MB
  5 - 17.txt 6.6 KB
  5 - Conditional GAN.mp4 81.2 MB
  5 - Representative learning.mp4 65.9 MB
  6 - 18.txt 3.2 KB
  6 - Autoregressive Models LSTM.mp4 192.1 MB
  6 - Core Probability Theory.mp4 33.2 MB
  7 - 19.txt 1.9 KB
  7 - Basics of the Coding Environment.mp4 34.4 MB
  7 - RNN Extentions PixelCNN.mp4 99 MB
  8 - Git clone & Dockers.mp4 67.8 MB
  8 - Normalizing Flow Models-1.mp4 101.6 MB
  9 - 21.txt 4.2 KB
  9 - Normalizing Flow Models-2.mp4 115.7 MB
  9 - Setting up the IDE.mp4 96.3 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 41 total files

Description


Generative AI with Python: Core Concepts and Coding Examples

https://WebToolTip.com

Published 9/2025
Created by Zahid Halim
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 26 Lectures ( 7h 17m ) | Size: 3.33 GB

Generative AI with Python: Core Concepts with Practical Coding Examples

What you'll learn
Master Generative AI from scratch – Learn GANs, VAEs, Transformers & Diffusion Models, even as a beginner
Hands-on AI projects – Build text, image & music generation projects to showcase real-world skills
Write industry-ready Python code – Use TensorFlow/Keras, Git, and Docker for clean, reproducible AI projects
Boost career & research opportunities – Learn cutting-edge generative AI to stand out in ML, data science & research

Requirements
Basic Python knowledge, high school-level math, a computer with internet, and enthusiasm to learn AI—no prior AI experience needed.

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