Deep Q Networks Courses and Certifications

Value-Based Methods

Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.

• Udacity
• 10 hours
• Self-Paced
• Paid Course

Pascal Poupart

Deep Q-Networks

A focused lecture on Deep Q-Networks, covering gradient Q-learning, divergence, experience replay, target networks, architecture, and results.

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

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

Aleksa Gordić - The AI Epiphany

Implementing DeepMind's DQN from Scratch - Project Update

A candid code walkthrough of an unfinished Deep Q-Network project, focusing on debugging reinforcement-learning components, logging, and implementation workflow.

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

Aleksa Gordić - The AI Epiphany

DQN - Playing Atari with Deep Reinforcement Learning - RL Paper Explained

A detailed walkthrough of the DQN paper, from experience replay and target networks to Atari training results.

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

Brown University;  Georgia Tech

Reinforcement Learning

8 ratings

Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

• Udacity
• 21 hours
• Self-Paced
• Free Online Course

Deep Reinforcement Learning in Python

284 ratings at DataCamp

Discover the cutting-edge techniques that empower machines to learn and interact with their environments.

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

Nvidia Deep Learning Institute;  Unity Career Certificate

Deep Reinforcement Learning

357 ratings at Udacity

Build intelligent agents with deep reinforcement learning using value- and policy-based methods, Q-networks, experience replay, multi-agent techniques, Python, PyTorch, and C++.

• Udacity
• 83 hours
• Self-Paced
• Paid Course

Serrano.Academy

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

A friendly introduction to deep reinforcement learning through Markov decision processes, Q-networks, and policy gradients.

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

Deep Learning with Keras and Tensorflow

1044 ratings at Coursera

Build advanced deep learning models in Keras and TensorFlow 2.x: custom layers, CNNs with transfer learning, transformers, autoencoders, GANs, diffusion models, and deep Q-networks.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced AI: Deep Reinforcement Learning in Python

6519 ratings at Udemy

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

• Udemy
• 10 hours 39 minutes
• Self-Paced
• Paid Course

Deep Reinforcement Learning: From Theory to Practice

Implement deep reinforcement-learning agents: replace tabular values with function approximation, build DQN with replay buffers and target networks, and apply REINFORCE, actor–critic, PPO, DDPG, and SAC.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Packt

Foundations of Deep Reinforcement Learning with PyTorch

Build reinforcement learning agents in PyTorch: Gymnasium environments, the cross-entropy method, tabular Q-iteration with the Bellman equation, and deep Q-networks on Atari Pong.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Advanced Deep RL Algorithms and Applications

Implement advanced deep RL algorithms — DQN extensions, policy gradients, A2C/A3C — and apply them to stock trading, Atari games, TextWorld fiction, and browser navigation.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Reinforcement Learning

3 ratings

Learn Q-learning fundamentals and build, train, and test a Deep Q-Network reinforcement learning agent.

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