Current

Intermediate

Fundamentals of Reinforcement Learning

Coursera · University of Alberta · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

1-3 months

Classes

60

Learn the basics of reinforcement learning including Markov Decision Processes, value functions, and dynamic programming.

What you'll get

Understand MDPs, value functions, and policy methods

Implement dynamic programming for RL

Build foundation for advanced RL algorithms

Course Curriculum

6 chapters

Fit

Best for

ML Engineers

Data Scientists

AI Researchers

Deep Learning Practitioners

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic programming, probability

Pricing

Subscription

Certification

Certificate

Reinforcement Learning

MDP

Dynamic Programming

Value Functions

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Master reinforcement learning from University of Alberta covering MDPs, value functions, policy methods, and deep RL.