Multi-Agent Systems

Design, build, and operate systems where multiple AI agents collaborate to solve complex tasks that exceed the capabilities of any single agent. This advanced course covers the major multi-agent architectures — hierarchical, peer-to-peer, and market-based — and dives deep into the technical challenges: inter-agent communication protocols, shared state management, deadlock prevention, and orchestration frameworks like LangGraph and CrewAI. The final module addresses production deployment, observability for distributed agent pipelines, and failure modes unique to multi-agent systems.