AI

A deep dive into how AI agents actually decide what to do next: the perceive-reason-act loop, the ReAct pattern, reactive versus planning architectures, and the failure modes that show up once an agent runs unsupervised. This is the first course in the AI Agents & Automation track and builds directly on Building AI Agents, assuming you already know what an agent is and want to understand how its internals are actually structured.

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