Deep Reinforcement Learning Courses and Certifications

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

Aleksa Gordić - The AI Epiphany

Chip Placement with Deep Reinforcement Learning - Paper Explained

A visual deep dive into a paper that uses deep reinforcement learning and graph neural networks to optimize chip placement, wirelength, congestion, and power.

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

Data Science Courses

Deep Learning: Deep Reinforcement Learning and Policy Gradients - Lecture 13

Dive into advanced deep reinforcement learning concepts including policy gradients, REINFORCE algorithm, and their applications in Atari games and Go, taught by Ali Ghodsi.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

media.ccc.de

A Competitive Time-Trial AI for Need for Speed: Most Wanted Using Deep Reinforcement Learning

Discover how deep reinforcement learning and Python create a competitive AI for Need for Speed: Most Wanted, exploring game hacking, custom APIs, and the Soft-Actor-Critic algorithm implementation.

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

Introduction to Deep Learning

25 ratings

Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks.

• YouTube
• 2 days 7 hours 16 minutes
• Self-Paced
• Free Video

Anyscale

Semiconductor Fab Production Scheduling Using Deep Reinforcement Learning

Optimize semiconductor manufacturing schedules with deep reinforcement learning. Leverage flexible methods to respond to changing priorities and improve key performance indicators in complex fab environments.

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

echohive

Deep Reinforcement Learning Agent for Snake Game

Explore deep reinforcement learning as an AI agent masters the classic snake game, with code review and optimization techniques for Python-based machine learning projects.

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

Toronto Machine Learning Series (TMLS)

The AI Economist: Economic Policy Design Using Deep Reinforcement Learning and AI Simulations

Explore AI-driven economic policy design using deep reinforcement learning and simulations. Learn how AI can improve equality, productivity, and public health outcomes in complex socio-economic challenges.

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

Toronto Machine Learning Series (TMLS)

Outracing Champion Gran Turismo Drivers With Deep Reinforcement Learning

Explore deep reinforcement learning techniques used to train AI agents that outperform world-class e-sports drivers in Gran Turismo racing simulations.

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

Toronto Machine Learning Series (TMLS)

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning

Explore deep reinforcement learning for automated medical diagnosis, emulating doctors' reasoning to generate differential diagnoses, prioritize severe pathologies, and enhance system trustworthiness.

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

GAIA

From Hypothesis to Reality: Designing a Superhuman Racing AI Agent Using Deep Reinforcement Learning

Explore the development of GT Sophy, an AI agent that outperforms top Gran Turismo drivers, from research to in-game feature. Learn about deep reinforcement learning approaches and unique training methods.

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

GAIA

Modelling Ecosystems with Deep Reinforcement Learning

Explore ecosystem simulation using deep reinforcement learning, analyzing ecological impacts of human activities for informed decision-making in environmental planning.

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

University of Alberta;  Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone)

28 ratings

Build a complete reinforcement learning system: formalize a word problem as an MDP, implement an Expected Sarsa or Q-learning agent with neural networks and RMSProp, then run a parameter study.

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

Artificial Intelligence 2.0: AI, Python, Deep RL + LLM Prize

1375 ratings at Udemy

Build an AI powerful enough to train an ant / spider and half-humanoid to walk and run across a field with the TD3 model

• Udemy
• 9 hours 41 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