Fundamentals of Reinforcement Learning

Korshub take

With over 110,000 learners, this course tackles reinforcement learning as its own discipline — not just another machine learning technique, but the general-purpose framework behind automated decision-making.

It's pitched at the intermediate level, so some machine learning or algorithms background will make the material land faster.

Core concepts

• Reinforcement learning theory and Markov models
• How RL relates to broader machine learning algorithms
• Decision intelligence and agentic systems
• The algorithmic foundations behind automated decision-making

It suits learners already comfortable with core machine learning who want to specialize toward RL specifically — relevant for anyone tracking the AI agents trend, since agentic systems increasingly lean on reinforcement-learning ideas underneath.