Practice real frameworks

Hands-on AI Agents exercises that mirror real engineering work — from core fundamentals to the patterns interviewers actually probe. Every challenge is graded automatically and mapped to a skill below.

An AI agent wraps a language model in a loop: it decides what to do next, calls a tool, reads the result and decides again. The work is less about the model than the scaffolding around it - describing tools precisely, keeping the loop from running away, deciding when the agent is finished, and handling the calls that fail or return nonsense.