Ten questions spanning the track’s seven chapters — search, deep RL, preference training, and the agentic systems built on all three. Only your best score is kept, and only in your own browser.
Reinforcement learning: self-check
Ten questions across the track — pathfinding to agent reliability. Graded in your browser, stored only there; 8 or more says you own the module.