Build control planes for multi-agent networks
If you've built microservices, you've already solved a version of this problem: state management across distributed components, failure isolation, retry logic, and message routing. Multi-agent AI systems have the same coordination challenges, but with reasoning loops and human approval requirements layered on top.
This workshop covers how to build the orchestration layer:
- Wire deterministic workflows with AWS Step Functions: state machines for agent coordination, branching, retry logic, and parallel execution
- Configure reasoning-driven agents with Amazon Bedrock Agents: dynamic tool use, memory, and routing based on output analysis
- Build human-in-the-loop approval gates: pause execution for human sign-off on critical decisions, with escalation paths
- Implement durable execution with Amazon MWAA and Temporal Cloud: DAG pipelines and workflow versioning that survive failures
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