Current

Intermediate

Reinforcement Learning Specialization

Coursera · University of Alberta · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

3-6 months

Classes

150

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

What you'll get

Understand MDPs, value functions, and policy methods

Implement deep reinforcement learning algorithms

Train agents for game and simulation environments

Course Curriculum

12 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

Python, probability, linear algebra

Pricing

Subscription

Certification

Certificate

Reinforcement Learning

MDP

Deep RL

Policy Gradient

Q-Learning

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