Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)

Creation Time	May 25, 2025, 9:11 a.m.
Last Access Time	May 29, 2026, 5:45 a.m.
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Keywords	and AI Intelligence - Artificial Udemy 2025 3 A-Z RL Agentic Gen
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08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.mp4 146.7 MB
18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.mp4 119.6 MB
14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.mp4 114.2 MB
11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.mp4 109.5 MB
20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.mp4 102.9 MB
18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.mp4 99.9 MB
18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.mp4 97.8 MB
21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.mp4 87.5 MB
14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).mp4 82.6 MB
18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.mp4 79.9 MB
14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.mp4 77.0 MB
21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.mp4 71.1 MB
21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.mp4 65.6 MB
21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.mp4 58.6 MB
14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.mp4 58.6 MB
14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.mp4 58.4 MB
04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.mp4 55.2 MB
07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.mp4 54.4 MB
19. THANK YOU/1. THANK YOU Video.mp4 53.8 MB
08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.mp4 52.0 MB
13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.mp4 51.9 MB
21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.mp4 51.5 MB
04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.mp4 50.1 MB
08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.mp4 50.1 MB
08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.mp4 48.1 MB
11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.mp4 47.8 MB
08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.mp4 47.3 MB
08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.mp4 45.7 MB
08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.mp4 44.2 MB
20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.mp4 43.7 MB
20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.mp4 43.3 MB
18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.mp4 43.3 MB
04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.mp4 42.7 MB
14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.mp4 42.5 MB
11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.mp4 41.2 MB
11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.mp4 39.9 MB
18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.mp4 38.3 MB
07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.mp4 38.2 MB
13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.mp4 37.1 MB
04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.mp4 36.6 MB
13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.mp4 36.5 MB
14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.mp4 35.7 MB
04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.mp4 35.3 MB
20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.mp4 35.2 MB
13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.mp4 35.0 MB
11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.mp4 34.7 MB
07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.mp4 34.5 MB
14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.mp4 34.2 MB
14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.mp4 33.9 MB
14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.mp4 33.9 MB
11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.mp4 33.2 MB
14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.mp4 31.6 MB
14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.mp4 31.5 MB
11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.mp4 30.9 MB
08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.mp4 29.9 MB
08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.mp4 29.3 MB
04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.mp4 29.3 MB
08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.mp4 27.6 MB
17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.mp4 27.4 MB
11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.mp4 27.4 MB
04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.mp4 27.0 MB
08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.mp4 26.0 MB
20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.mp4 25.7 MB
08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.mp4 24.6 MB
10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.mp4 24.4 MB
18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.mp4 23.4 MB
17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.mp4 23.0 MB
20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.mp4 21.7 MB
13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.mp4 21.3 MB
21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.mp4 20.6 MB
14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.mp4 20.5 MB
11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.mp4 20.0 MB
14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.mp4 19.2 MB
17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.mp4 18.4 MB
11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.mp4 18.1 MB
20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.mp4 17.2 MB
08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.mp4 16.8 MB
10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.mp4 16.2 MB
11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.mp4 15.6 MB
07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.mp4 14.6 MB
17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.mp4 14.1 MB
20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.mp4 14.0 MB
08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4 13.5 MB
08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.mp4 13.1 MB
11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.mp4 12.9 MB
18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.mp4 12.9 MB
15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.mp4 12.7 MB
08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.mp4 12.4 MB
14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.mp4 11.8 MB
08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.mp4 11.4 MB
17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.mp4 11.1 MB
21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.mp4 10.8 MB
14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.mp4 10.4 MB
08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.mp4 10.3 MB
17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.mp4 10.3 MB
01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.mp4 9.5 MB
08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).mp4 8.7 MB
04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.mp4 8.2 MB
08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.mp4 7.6 MB
11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.mp4 7.3 MB
17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.mp4 6.8 MB
08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.mp4 6.6 MB
21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 6.2 MB
17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.mp4 6.1 MB
13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 5.0 MB
10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 4.9 MB
20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 4.8 MB
11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4 4.7 MB
07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 3.6 MB
04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 3.4 MB
21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.mp4 3.1 MB
22. Congratulations!! Don't forget your Prize )/2. 2025-01-10_09-20-17-ac766710651c6ae3718f7bc4dccb07f8.png 185.8 KB
14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.vtt 31.5 KB
04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.vtt 31.5 KB
08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.vtt 31.4 KB
21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.vtt 30.3 KB
04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.vtt 30.1 KB
14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.vtt 28.5 KB
04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.vtt 27.7 KB
20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.vtt 26.1 KB
07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.vtt 25.8 KB
21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.vtt 25.7 KB
13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.vtt 25.2 KB
07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.vtt 25.1 KB
13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.vtt 24.4 KB
21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.vtt 24.3 KB
07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.vtt 23.7 KB
04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.vtt 23.2 KB
21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.vtt 22.9 KB
21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.vtt 22.6 KB
04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.vtt 22.5 KB
14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).vtt 22.2 KB
18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.vtt 21.5 KB
11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.vtt 21.1 KB
20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.vtt 20.3 KB
04. Q-Learning Intuition/10.1 Quiz 1.html 20.0 KB
04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.vtt 20.0 KB
20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.vtt 19.9 KB
20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.vtt 19.7 KB
13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.vtt 19.5 KB
18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.vtt 19.4 KB
14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.vtt 19.2 KB
11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.vtt 18.4 KB
14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.vtt 18.4 KB
14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.vtt 17.4 KB
18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.vtt 16.9 KB
14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.vtt 16.3 KB
11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.vtt 16.1 KB
18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.vtt 15.9 KB
08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.vtt 15.6 KB
04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.vtt 14.7 KB
08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.vtt 14.7 KB
10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.vtt 14.5 KB
20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.vtt 14.5 KB
08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.vtt 14.3 KB
08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.vtt 13.9 KB
14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.vtt 13.8 KB
20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.vtt 13.2 KB
20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.vtt 12.8 KB
08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.vtt 12.7 KB
11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.vtt 12.7 KB
08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.vtt 12.6 KB
11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.vtt 12.6 KB
18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.vtt 12.6 KB
14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.vtt 12.4 KB
08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.vtt 12.2 KB
11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.vtt 12.0 KB
08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.vtt 11.8 KB
10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.vtt 11.8 KB
14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.vtt 11.7 KB
14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.vtt 11.1 KB
13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.vtt 11.0 KB
14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.vtt 10.9 KB
08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.vtt 10.7 KB
07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.vtt 10.5 KB
08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.vtt 10.4 KB
18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.vtt 10.0 KB
21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.vtt 9.6 KB
14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.vtt 9.5 KB
11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.vtt 8.9 KB
08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.vtt 8.8 KB
08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.vtt 8.8 KB
01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.vtt 8.7 KB
11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.vtt 8.6 KB
08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.vtt 8.6 KB
08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.vtt 8.6 KB
18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.vtt 8.4 KB
20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.vtt 7.6 KB
17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.vtt 7.6 KB
11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.vtt 7.5 KB
11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.vtt 7.5 KB
13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.vtt 7.0 KB
11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.vtt 7.0 KB
08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.vtt 6.5 KB
08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).vtt 6.5 KB
11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.vtt 6.3 KB
21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.vtt 6.3 KB
14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.vtt 6.1 KB
04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 6.0 KB
13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.6 KB
21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.6 KB
10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.5 KB
08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.vtt 5.0 KB
07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 4.7 KB
17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.vtt 4.6 KB
17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.vtt 4.5 KB
17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.vtt 4.5 KB
08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.vtt 4.3 KB
20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 4.3 KB
04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.vtt 3.8 KB
11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.vtt 3.5 KB
08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.vtt 3.4 KB
17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.vtt 3.2 KB
17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.vtt 3.2 KB
14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.vtt 3.2 KB
18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.vtt 2.9 KB
21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.vtt 2.9 KB
17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.vtt 2.8 KB
15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.vtt 2.7 KB
19. THANK YOU/1. THANK YOU Video.vtt 2.6 KB
18. LLMs Implementation/2. Get the Codes here.html 2.5 KB
14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.vtt 2.3 KB
11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.vtt 2.3 KB
15. ---------- Part 4 - PPO and SAC ----------/2. Build and Train the PPO and SAC models for a Self-Driving Car! Theory included.html 2.2 KB
08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.vtt 2.1 KB
17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.vtt 2.0 KB
22. Congratulations!! Don't forget your Prize )/2. Bonus How To UNLOCK Top Salaries (Live Training).html 1.8 KB
02. Agentic AI/1. Build a Cloud-powered AI Agent for Business Assistance, completely from scratch!.html 1.6 KB
18. LLMs Implementation/10. Build a RAG-powered Generative AI application with Knowledge Bases, from scratch.html 1.6 KB
05. Q-Learning Implementation/1. A Q-Learning Implementation for Process Optimization.html 1.4 KB
03. ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------/1. Welcome to Part 0 - Fundamentals of Reinforcement Learning.html 1.3 KB
06. ---------- Part 1 - Deep Q-Learning ----------/1. Welcome to Part 1 - Deep Q-Learning.html 1.1 KB
16. ---------- Part 5 - Intro to Large Language Models (LLMs) ----------/1. Welcome to Part 5 - Intro to Large Language Models (LLMs).html 749 bytes
09. ---------- Part 2 - Deep Convolutional Q-Learning ----------/1. Welcome to Part 2 - Deep Convolutional Q-Learning.html 661 bytes
12. ---------- Part 3 - A3C ----------/1. Welcome to Part 3 - A3C.html 522 bytes
08. Deep Q-Learning Implementation/2. Get the Codes here.html 430 bytes
11. Deep Convolutional Q-Learning Implementation/2. Get the Codes here.html 430 bytes
14. A3C Implementation/2. Get the Codes here.html 430 bytes
01. Welcome to the course!/3. Prizes $$ for Learning.html 383 bytes
01. Welcome to the course!/1. Get the Course Materials!.html 368 bytes
22. Congratulations!! Don't forget your Prize )/1. Find Your Career Path!.html 204 bytes
08. Deep Q-Learning Implementation/2. Deep-Q-Learning.txt 42 bytes
11. Deep Convolutional Q-Learning Implementation/2. Deep-Convolutional-Q-Learning.txt 40 bytes
08. Deep Q-Learning Implementation/21. AI-Landing.txt 39 bytes
05. Q-Learning Implementation/1. A-Q-Learning-Implementation-for-Process-Optimization.txt 38 bytes
11. Deep Convolutional Q-Learning Implementation/14. Video-of-AI-playing-Pac-Man-like-a-human.txt 38 bytes
14. A3C Implementation/16. Video-of-Kung-Fu-AI-Model.txt 38 bytes
15. ---------- Part 4 - PPO and SAC ----------/2. PPO-and-SAC-Models.txt 38 bytes
18. LLMs Implementation/2. Extra-part-LLMs.txt 33 bytes
14. A3C Implementation/2. A3C-Reinforcement-Learning.txt 32 bytes

Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)

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