Learning path
Multi-Agent Systems
Orchestrator and workers, hand-offs and shared state, with animated films and runnable Python. Part of the Agentic AI Engineer premium track.
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1
Orchestrator and Workers
The most useful multi-agent pattern: a lead agent splits a big task, worker agents research pieces in parallel with fresh context, and the lead combines the results. With…
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2
Hand-offs and Shared State
Pass work between specialist agents without losing the plot: triage routing, hand-offs with a context packet, a shared state "blackboard", a hand-off limit to stop ping-pong, and the…