Current

Intermediate

Product Management and Generative AI & ChatGPT: Become 10x ...

Skillshare · Skillshare Instructor · Updated March 2026

Platform rating

4.5/5

AI Tutor Rating

8.4/10

Duration

Self-paced

Classes

8

Third methodology is reinforcement learning. It focuses on training models to make decisions through trial and error, receiving feedback from the environment ...

What you'll get

Understand reinforcement learning fundamentals

Apply AI decision-making to game environments

Implement reward-based learning algorithms

Build intelligent agents that improve over time

Course Curriculum

3 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

Skillshare membership

Pricing

Skillshare Premium ($13.99/mo)

Certification

No

Growth Leverage: Completing this course positions individuals for roles such as AI Product Manager, Reinforcement Learning Engineer, or Data Scientist, enhancing their capability to work on AI-driven products. It opens doors to opportunities in tech firms focusing on AI innovation and product development.

Skills Value: The ability to implement reward-based learning algorithms directly addresses the demand for AI solutions in industries such as gaming and robotics, where skilled professionals can command salaries that are 10-20% higher than their peers due to the specialized nature of these skills.

Reinforcement Learning

AI

Machine Learning

Game AI

Decision Making

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But broadly speaking, in reinforcement learning is the ability to learn by exploration. You put an agent into an environment. And by exploring the environment ...

Skillshare Premium ($13.99/mo)

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The model generates multiple candidate actions and deep reinforcement learning, RL is used to optimize a policy that selects actions from among the candidates.

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

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