OpenAI Gym Courses and Certifications

Nicholas Renotte

Building a Custom Environment for Deep Reinforcement Learning with OpenAI Gym and Python

Build a custom OpenAI Gym environment in Python, then train and test a Deep Q-Network agent to interact with it.

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

Reinforcement Learning with Gymnasium in Python

764 ratings at DataCamp

Discover the World of Reinforcement Learning Embark on an exhilarating exploration of Reinforcement Learning (RL), a pivotal branch of machine learning.

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

Artificial Intelligence: Reinforcement Learning in Python

10817 ratings at Udemy

Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications

• Udemy
• 14 hours 43 minutes
• 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

Practical AI with Python and Reinforcement Learning

1285 ratings at Udemy

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

• Udemy
• 1 day 2 hours 25 minutes
• 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

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 Career Certificate

Deep Reinforcement Learning Hands-On

Build deep reinforcement learning agents in PyTorch: OpenAI Gym, the Cross-Entropy Method, Bellman equation, DQN extensions, policy gradients, actor-critic, AlphaGo Zero, and multi-agent RL.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Nicholas Renotte

Reinforcement Learning with Python

Master reinforcement learning fundamentals and build AI agents that play games and trade stocks using Python, OpenAI Gym, and deep learning techniques.

• YouTube
• 6 hours 9 minutes
• Self-Paced
• Free Video

Reinforcement Learning Course - Full Machine Learning Tutorial

Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics.

• freeCodeCamp
• 3-4 hours
• Self-Paced
• Free Video

Python Reinforcement Learning using OpenAI Gymnasium – Full Course

Learn reinforcement learning by training agents to solve Blackjack and CartPole in Gymnasium, including Q-learning and deep Q-networks.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Nicholas Renotte

Reinforcement Learning - Full Course Using Python

A practical Python course that trains reinforcement learning agents for Atari, autonomous driving, and custom OpenAI Gym environments.

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

Nicholas Renotte

Build a Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course

Builds a Street Fighter game-playing agent with Python reinforcement learning, Gym Retro, hyperparameter optimization, and Stable Baselines.

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

Nicholas Renotte

Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course

Build a reinforcement learning agent that plays Doom using VizDoom, OpenAI Gym, PPO, reward shaping, and curriculum learning.

• YouTube
• 3 hours 17 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Mario AI Model with Python - Gaming Reinforcement Learning

Build and train a Python reinforcement learning model that learns to play Super Mario by preprocessing game frames and using the PPO algorithm.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video