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Machine Learning & Data Science 24-hour specialization
Reinforcement Learning Foundations
How agents learn by doing — the ideas behind game-playing AI, robotics and RLHF — built up from first principles.
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- Shareable certificate of completion
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4,100+ learners enrolled
What you'll learn
Markov decision processes and value learning
Policy gradients and deep RL
RLHF and where RL powers modern AI
By the end, you'll be able to
- Grasp RL from the ground up
- Train agents in simulated tasks
- See how RL shapes today's AI
This course includes
Live and/or self-paced expert-led lessons
Hands-on projects you can show off
Downloadable resources & prompt libraries
Shareable certificate of completion
Lifetime access to materials & updates
Access to the Qube AI copilot