Microsoft Certified: Multi-Agent AI Solutions Expert (AI-500)

Engineer AI systems that work together

Moving from one AI agent to a coordinated system introduces complex decisions about control, context, security and reliability. This advanced four-day course is designed for experienced AI engineers, developers and solution architects who build and operate production-ready multi-agent solutions. It connects architecture decisions to practical implementation and the operational responsibility that follows deployment.

Design dependable agent architectures

Explore how business requirements become agent roles, task boundaries, workflows and human approval points. Examine sequential, parallel and orchestrator-subagent patterns, shared context and short- and long-term memory. Consider when to use retrieval-augmented generation (RAG), semantic search and knowledge sources to keep agents grounded in appropriate information.

Connect tools and orchestrate work

Understand how Microsoft Foundry, Python and Microsoft Agent Framework support agent development. Explore Model Context Protocol (MCP), Agent2Agent communication and integrations with Azure services. Consider tool permissions, validation, error handling and fallback behaviour when agents coordinate across applications and data sources.

Operate agents safely at scale

Review evaluation strategies for prompts, memory, tools and overall workflow quality. Examine tracing, latency, token consumption and cost controls to diagnose failures and improve performance. Learn how identity, least-privilege access, guardrails, testing and CI/CD support governed releases and reliable operation.

Prepare for expert certification

The course follows the published AI-500 exam domains, covering architecture, development, evaluation and deployment. It supports structured exam preparation, but learners should bring substantial prior AI engineering experience. The expert credential additionally requires Microsoft Certified: Azure AI Apps and Agents Developer Associate.