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

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

Design and deliver production-ready multi-agent AI on Azure. Build orchestration, memory and MCP tools with Python and Microsoft Foundry, then evaluate, secure and monitor agent workflows.

Live, instructor-led sessions — learn directly with an expert, ask questions and apply concepts in real time.
4 days12 modulesAI SolutioningMulti-agent orchestration
2 minCourse preview
  • Design agent workflows
  • Build secure MCP tools
  • Monitor agent quality
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Course overview

Engineer production-ready multi-agent AI solutions on Azure

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.

A production-ready agent system is measured not just by what its agents can do, but by how reliably, securely and transparently they work together.

— AIWorkVerse
What you'll learn

Practical capabilities you can apply at work

✓"Architecture: Define agent roles, boundaries and orchestration patterns.
✓Memory and RAG: Plan shared context, retrieval and knowledge access.
✓Tool integration: Design MCP tools, validation and error handling.
✓Agent workflows: Implement coordination and human approval controls.
✓Evaluation: Assess prompts, memory, tools and overall workflow quality.
✓Observability: Trace agents, monitor reliability and manage token costs.
✓Security: Apply scoped identities, guardrails and secret management.
✓Deployment: Plan automated testing, CI/CD, release and safe rollback."
What the training day looks like

A focused, engaging and practical learning experience

1

Expert-led sessions

Clear explanations from industry experts, with live demonstrations.

2

Real-world examples

Practical business scenarios to illustrate key concepts and applications.

3

Group discussions

Peer learning and shared ideas to deepen understanding.

4

Exam preparation

Key takeaways and next steps to help you prepare for the exam.

Curriculum

12 modules. Engineer Multi-Agent AI Systems

1Design logical architecture for multi-agent solutions
2Specify technology components to include in a multi-agent solution
3Design and implement advanced prompt engineering strategies in multi-agent solutions
4Design and implement agent memory, context management, and knowledge integration
5Build and integrate tool ecosystems
6Implement multi-agent orchestration
7Design and implement evaluation and validation strategies for multi-agent solutions
8Optimize prompt and model performance for multi-agent solutions
9Design and implement observability and monitoring for multi-agent solutions
10Design and implement security for multi-agent solutions
11Design and implement guardrails for multi-agent solutions
12Deploy multi-agent solutions to Azure
Who this is for

Designed for enterprise leaders and practitioners

Senior AI EngineersMulti-Agent AI Solution ArchitectsExperienced Python DevelopersMachine Learning EngineersAzure AI Platform EngineersAgentic AI DevelopersAI Technical LeadsCloud Solution ArchitectsBusiness Leaders & ExecutivesTransformation & Change LeadersProduct & Innovation ManagersIT & Digital LeadersConsultants & AI Advisors
Certification logo
Certification

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

Microsoft Certifications are subject to passing the related exam.
Please read the exam guide carefully. Your instructor also will help you with exam related queries.
Exam Fees is included as part of this training.

Read the exam guide →
Instructor

Meet your instructor

Rajiv Goel

Rajiv Goel

AI Transformation Leader and Microsoft Certified Trainer (MCT)

AI transformation and enterprise technology leader with extensive experience in AI adoption, business operations, change management and professional training.

22+ yearsExperience
100+Learners trained
FAQs

Common questions

Who should attend this advanced multi-agent AI engineering course?

Experienced AI engineers, developers and architects designing and operating production multi-agent systems.

What Python and Azure experience do I need before joining?

You should be proficient in Python and experienced with Azure services, AI development and deployed agentic systems.

Will the course cover Microsoft Agent Framework and LangGraph?

Yes. Both are within the exam scope, alongside Microsoft Foundry, MCP, RAG and agent-to-agent communication.

Does training include agent memory, orchestration and tool design?

Yes. It addresses memory, grounding, orchestration patterns, tool integration, validation and human review.

How are multi-agent quality, security and costs addressed?

The syllabus covers evaluation, tracing, guardrails, identity, monitoring, token usage and cost controls.

Must I pass AI-103 before booking the AI-500 examination?

No. You may sit AI-500 first, but earning the expert certification requires the AI-103 associate credential.

Is the Microsoft certification exam included?

The exam voucher is included only if your selected AIWorkVerse package explicitly states that it is included. Otherwise, you must book and pay for the official exam separately.