Multi-agent orchestration training
Coordinate multiple agents without losing control.
Coordinate multiple agents without losing control. Work on a bounded use case of your own. We agree level, tooling and programme with your team beforehand; product access and available features determine the exercises.
What you learn
- Compare supervisor, router and handoff patterns with a single agent.
- Design shared state, tool contracts, MCP and agent-to-agent communication boundaries.
- Implement retries, idempotency, timeouts and budget limits for an agent chain.
- Use traces and evaluations to detect incorrect delegation and rising costs.
Who it's for
- 01Agentic Engineers, developers and software architects
Programme
Choose an architecture
Compare supervisor, router and handoff patterns with a single agent.
State & communication
Design shared state, tool contracts, MCP and agent-to-agent communication boundaries.
Reliability
Implement retries, idempotency, timeouts and budget limits for an agent chain.
End-to-end testing
Use traces and evaluations to detect incorrect delegation and rising costs.
What you take away
What you take away
- A multi-agent prototype with traceable handoffs and error handling.
- An overview of risks, prerequisites and next steps.
Prerequisites
- Experience with Python or TypeScript and building a single AI Agent.
Frequently asked questions
Is the training tailored to our team?+
Yes. We discuss your experience, environment and learning goals during a no-obligation intake, then provide a programme and written quote.
How long is this training?+
Duration depends on the level and exercises. It is agreed in the programme beforehand; there is no fixed duration for this topic.
Where does the training take place?+
In-company, at our Utrecht office or remotely, as agreed with your team.
Schedule this training
Discuss your learning goals during a no-obligation intake. Afterwards, you receive a tailored programme and written quote.
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