Free Online Function Approximation 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.

Jun 22nd 2026

4 Weeks

ML Artificial Intelligence Machine Learning

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.

Jun 22nd 2026

5-12 Weeks

Artificial Intelligence Algorithms Machine Learning

Coursera

University of Alberta,Alberta Machine Intelligence Institute

Sample-based Learning Methods (Coursera)

Data Science

Explore the world of sample-based learning methods in our comprehensive online course. Master intuitive yet effective algorithms like Monte Carlo methods and temporal difference learning techniques including Q-learning. Gain insights into combining model-based planning and TD updates for accelerated learning.

Jun 15th 2026

4 Weeks

Learning Artificial Intelligence Machine Learning

Coursera

University of Alberta,Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation (Coursera)

Data Science

Discover how to tackle intricate problems with vast and potentially infinite state spaces by mastering prediction and control through function approximation. This course transforms the way you approach complex decision-making processes, teaching you to view value estimation as a supervised learning challenge. You'll develop agents capable of optimizing rewards by striking the perfect balance between generalizing well across states and discriminating effectively among them.

Jun 15th 2026

4 Weeks

Artificial Intelligence Machine Learning Prediction