This course covers roles, handoffs, shared memory, and evaluation for multi-agent systems.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01Why more than one agentSpecialists with contracts, not a crowd in a group chat.
- 02Orchestrator patternsSupervisor, pipeline, and blackboards — pick one.
- 03Messages as data, not novelsSchemas between agents.
- 04Shared tools and lockingWho may write, and how you avoid double sends.
- 05Debugging a multi-agent runA single trace id across all seats.
- 06When to go back to one agentComplexity tax versus a better prompt.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.
- 09Measure results so you know the work is actually betterAdd a simple evaluation so quality and cost are not guesswork.
- 10Ship it: handoff, monitoring, and the next projectPut the workflow where other people can use it without you in the room.