Reinforcement Learning Courses and Certifications

HUJI Machine Learning Club

Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering

Explore real-world applications of AI through risk-aware reinforcement learning and robust Kalman filtering, focusing on practical challenges and solutions for handling uncertainties in AI systems.

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

Enhanced POET - Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges

Explore open-ended reinforcement learning through unbounded invention of challenges and solutions, focusing on Uber's Enhanced POET algorithm and its applications in AI development.

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

Introduction to Deep Learning

24 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

Environment Engineering: The Foundation of RL Systems

Discover how to build reinforcement learning environments from scratch, exploring states, actions, rewards, and implementing a grid world environment with a random agent.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Q-Learning Unleashed: Building Intelligent Agents

Master Q-learning from fundamentals to implementation, building intelligent agents with exploration policies and decision-making capabilities in practical environments.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Game On: Integrating RL Agents with Environments

Explore agent-environment integration in reinforcement learning, balancing exploration vs. exploitation with ε-greedy strategies while visualizing training performance and policies.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Navigating RL Challenges: Strategies and Future Directions

Explore advanced RL techniques including random goals, hazardous environments, and reward shaping, while gaining insights into cutting-edge developments and future applications of reinforcement learning.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Steve Brunton

Reinforcement Learning

Explora el Aprendizaje por Refuerzo, desde métodos básicos hasta redes neuronales y aplicaciones en dinámica de fluidos y control, en esta serie de 3.5 horas por Steve Brunton.

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

Reinforcement Learning

Learn the fundamentals of reinforcement learning and implement basic concepts using Python for data science applications.

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

Conf42

Scaling Reinforcement Learning

Explore distributed reinforcement learning strategies, cloud architectures, and production deployment techniques for scaling ML systems effectively.

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

University of Alberta;  Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation

24 ratings

Explore advanced reinforcement learning techniques for large state spaces, including function approximation, feature construction, and policy gradient methods. Apply these concepts to solve continuous-state control tasks.

• Coursera
• 21 hours 51 minutes
• Self-Paced
• Paid Course

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: Reinforcement Learning in Python

10802 ratings at Udemy

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

• Udemy
• 14 hours 43 minutes
• Self-Paced
• Paid Course

DeepLearning.AI;  Stanford

Unsupervised Learning, Recommenders, Reinforcement Learning

5669 ratings at Coursera

Explore unsupervised learning, recommender systems, and reinforcement learning. Master clustering, anomaly detection, and deep Q-learning to solve real-world AI challenges.

• Coursera
• 1 day 3 hours 51 minutes
• Self-Paced
• Paid Course

Reward Programming: Optimizing RL Efficiency and Safety

Explore reward programming in reinforcement learning, mastering temporal logic, automata, reward machines, and safety techniques to design, infer, and audit reward mechanisms that align with intended agent behavior.

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