Deep Q Networks Courses and Certifications

Edan Meyer

Q-Learning Tutorials - Deep Q Networks, Experience Replay, and Advanced Architectures

Master Q-Learning fundamentals through Deep Q Networks, experience replay, training loops, and advanced architectures like double and dueling networks.

• YouTube
• 2 hours 22 minutes
• Self-Paced
• Free Video

Deep Reinforcement Learning in Python

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Artificial Intelligence A-Z 2026: Agentic AI, Gen AI, and RL

49377 ratings at Udemy

Combine the power of Agentic AI, Generative AI, Reinforcement Learning to create powerful AI for Real-World applications

• Udemy
• 15 hours 16 minutes
• Self-Paced
• Paid Course

Pascal Poupart

Deep Q-Networks

Learn advanced reinforcement learning techniques, focusing on Deep Q-Networks. Explore approximation, optimization, and practical implementations to enhance AI decision-making capabilities.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Q-Learning: From Basics to Deep Q-Networks

Explore Q-Learning fundamentals, from Markov Decision Processes to Deep Q-Networks, in this comprehensive overview of reinforcement learning concepts and applications.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Advanced Neural Network Techniques

Master advanced neural network architectures including RNNs, Autoencoders, GANs, and Deep Reinforcement Learning through hands-on projects and real-world applications, from mathematical foundations to practical implementation.

• Coursera
• 10 hours 48 minutes
• Self-Paced
• Paid Course

Artificial Intelligence for Business + ChatGPT Prize [2026]

5009 ratings at Udemy

Solve Real World Business Problems with AI Solutions implemented in Python. Code templates included.

• Udemy
• 15 hours 8 minutes
• Self-Paced
• Paid Course

Deep Reinforcement Learning: From Theory to Practice

Master deep reinforcement learning from function approximation to modern algorithms like PPO, DDPG, and SAC, implementing stable agents for high-dimensional environments including games and robotics.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

1112 ratings at Udemy

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games

• Udemy
• 6 hours 45 minutes
• Self-Paced
• Paid Course

Serrano.Academy

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

Friendly exploration of deep reinforcement learning concepts, including Markov decision processes, Q-networks, and policy gradients, using examples and visuals to explain complex ideas.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Pascal Poupart

Deep Recurrent Q-Networks

Explore deep reinforcement learning with recurrent neural networks, focusing on LSTM units, Q-learning, and their applications in sequential decision-making problems.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Artificial Intelligence for Simple Games

315 ratings at Udemy

Learn how to use powerful Deep Reinforcement Learning and Artificial Intelligence tools on examples of AI simple games!

• Udemy
• 12 hours 24 minutes
• Self-Paced
• Paid Course

Reinforcement Learning

3 ratings

Explore Q-learning, deep Q networks, and reinforcement learning environments through hands-on tutorials and practical implementations.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

224 ratings at Udemy

Develop Artificial Intelligence Applications using Reinforcement Learning in Python.

• Udemy
• 4 hours 4 minutes
• Self-Paced
• Paid Course

Advanced Reinforcement Learning in Python: from DQN to SAC

187 ratings at Udemy

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: DDPG, TD3, SAC, NAF, HER.

• Udemy
• 8 hours 8 minutes
• Self-Paced
• Paid Course