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Reinforcement Learning (MathWorks)

Coursera · MathWorks · Updated March 2026

Platform rating

4.5/5

AI Tutor Rating

8.3/10

Duration

1-4 weeks

Classes

36

Learn reinforcement learning for engineering applications including control systems, simulation, and deep RL with MATLAB.

What you'll get

Apply RL to robotics and control problems

Train agents for simulation environments

Implement RL for engineering applications

Course Curriculum

8 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

Pricing

Subscription

Certification

Certificate

Growth Leverage: Completing this course positions individuals for roles such as Reinforcement Learning Engineer, Robotics Software Developer, or Control Systems Engineer, enabling them to work on cutting-edge projects in AI-driven automation and robotics, and potentially pursue certifications like Certified Data Scientist or specific MATLAB proficiency credentials.

Skills Value: The skills learned allow individuals to develop and optimize RL algorithms for real-world engineering challenges, making them valuable to employers in sectors like robotics and automation, with market demand reflected in average salaries that range from $100,000 to $140,000 for specialized roles.

Reinforcement Learning

MATLAB

Control Systems

Simulation

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