Free course

Multi-Agent Orchestration

Design, run and debug supervisor/worker AI agent teams in your browser: handoffs, shared state, cost and failure modes, then ship a real pipeline.

AdvancedAgentic AICertificate
5 modules 28 lessons 10 enrolled ~7h of material
Multi-Agent Orchestration

By the end

What you'll build

  • Decide when a single agent is the right answer and when a team genuinely earns its cost.
  • Design a supervisor/worker system with narrowly scoped roles and tools.
  • Implement handoffs using both message-passing and a shared blackboard, with documented contracts.
  • Run a real two-role agent pipeline in the browser, graded deterministically on final shared state.
  • Model the token, cost and latency multipliers a multi-agent team introduces.
  • Diagnose multi-agent failures - misroute, corrupt success, deadlock, cascade - from a recorded trace.
  • Add verifier/critic roles that catch bad handoffs before they reach the user.
  • Map sandbox roles onto real-framework primitives (supervisor graphs, crews, handoffs).
  • Ship a working two-agent research-then-draft pipeline on your own machine via an official quickstart.

The shape of it

How this course works

Short lessons

28 lessons across 5 modules, each small enough to finish in one sitting.

Practice as you go

Every lesson ends with a small space for what you noticed — the doing is the learning.

A certificate at the end

Finish the course and earn a certificate anyone can verify with a link.

Ready when you are.

Make an account and this course opens up — your progress is saved from the very first lesson.