AI

This course covers designing systems where multiple AI agents coordinate to complete a task, including supervisor, pipeline, and debate patterns, structured inter-agent communication, and the coordination failures that show up once you move past a single agent. It's part 3 of the AI Agents & Automation track, and assumes you already understand single-agent architecture and tool calling from the first two courses. Built for developers ready to design systems where specialization, not raw model size, is the lever for reliability.

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