Free Online Reinforcement Learning Courses & MOOCs

Coursera

University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Data Science

Dive into the world of Reinforcement Learning, a crucial subfield of Machine Learning that focuses on developing intelligent agents capable of making decisions based on interaction with their environment. This course provides an in-depth understanding of statistical learning techniques where an agent takes actions to maximize rewards. Ideal for those interested in interactive AI and automated decision-making processes.

Jul 20th 2026

4 Weeks

ML Artificial Intelligence Machine Learning

Coursera

IBM

Deep Learning and Reinforcement Learning (Coursera)

Data Science

Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.

Jul 20th 2026

5-12 Weeks

Calculus Python Statistics

Coursera

University of Alberta,Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone) (Coursera)

Data Science

In this final course of the Reinforcement Learning specialization, you will synthesize your acquired knowledge to build a complete reinforcement learning (RL) system. By tackling a real-world problem, you'll learn how each component—problem formulation, algorithm selection, parameter tuning, and representation design—works together in a cohesive solution. This capstone project requires you to create both the environment simulating your problem and an RL agent with neural network function approximation. You will also conduct a scientific study of your learning system, enhancing your ability to assess the robustness of RL agents.

Jul 20th 2026

5-12 Weeks

Artificial Intelligence Algorithms Machine Learning

Coursera

IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Jul 20th 2026

3 Weeks

ML Artificial Intelligence Machine Learning

Machine Learning Use Cases in Finance (edX)

EdX

Université de Montréal,UMontrealX

Machine Learning Use Cases in Finance (edX)

Economics & Finance Data Science

Explore the transformative power of Machine Learning in the world of finance with this exclusive edX course. Designed for data scientists, analysts, and professionals in banking and insurance, this course delves into real-world use cases where machine learning has made a significant impact. From risk assessment to personalized financial advice, understand how ML is reshaping the financial landscape.

Self Paced

Self-Paced

Finance Machine Learning Neural Networks

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

EdX

Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Robotics & Computer Vision

Discover the core concepts of artificial intelligence with our Introduction to Unsupervised, Deep, and Reinforcement Learning course. This edX offering provides a solid foundation in clustering, dimensionality reduction, deep learning, and reinforcement learning techniques, empowering you to solve complex real-world challenges using AI. Whether you're new to machine learning or looking to expand your expertise, this course is designed for learners at all levels.

Self Paced

Self-Paced

Artificial Intelligence Clustering AI

Coursera

Duke University

Introduction to Machine Learning (Coursera)

Data Science

Discover the basics of machine learning with our beginner-friendly course. Explore key concepts such as logistic regression, neural networks, and natural language processing. Gain practical experience applying these techniques to real-world challenges in healthcare, image recognition, and beyond.

Jul 10th 2026

5-12 Weeks

ML NLP Machine Learning

Coursera

New York University

Reinforcement Learning for Trading Strategies (Coursera)

Data Science

Dive into the world of Reinforcement Learning (RL) with this comprehensive course designed specifically for traders and asset managers. Learn how RL can be used to develop innovative trading strategies, improve option valuation models, and enhance overall portfolio management. Gain practical skills in implementing RL algorithms for real-world financial applications.

Jun 29th 2026

4 Weeks

Risk Management Portfolio Optimization Reinforcement Learning

Coursera

New York Institute of Finance,Google Cloud

Reinforcement Learning for Trading Strategies (Coursera)

Data Science

Dive into the world of Machine Learning for Trading by mastering Reinforcement Learning techniques specifically designed for crafting effective trading strategies. Learn to apply RL principles to time series data and build your own momentum trading strategy using advanced methods like LSTMs and actor-based/value-based policies.

Jun 29th 2026

3 Weeks

Machine Learning Neural Networks Trading