Orchestrating several AI agents that cooperate in production is an architecture exercise, not a prompting one. The AI-500 training teaches you to design, build and operate multi-agent AI solutions with Microsoft Foundry and Azure: logical architecture, tool ecosystems, orchestration, shared memory, security and governance.
Over four days, you work on stateful agentic loops, hub-and-spoke orchestration patterns, the A2A protocol, MCP servers, advanced RAG pipelines with Azure AI Search and memory architectures built on Azure Cosmos DB. You then move to production concerns: CI/CD pipelines with GitHub Actions, zero-trust architecture, distributed observability with OpenTelemetry and evaluation frameworks. Every topic is worked through on a complete enterprise scenario, from the first agent to the production incident.
This expert-level course prepares you for the AI-500 exam and the Microsoft Certified: Multi-Agent AI Solutions Expert certification. It is delivered in Geneva and Lausanne, or in a virtual classroom, by a Microsoft Certified Trainer.
Module 1 : Design stateful agentic loops with Microsoft Foundry Agent Service
Module 2 : Implement advanced multi-agent orchestration patterns in Microsoft Foundry
Module 3 : Apply task decomposition and agent collaboration strategies
Module 4 : Design enterprise-scale agent communication with the A2A protocol
Module 5 : Design advanced prompting strategies for production AI agents
Module 6 : Build enterprise-grade tool ecosystems with MCP and Microsoft Foundry
Module 7 : Implement advanced RAG pipelines with Azure AI Search and Microsoft Foundry
Module 8 : Design multi-agent memory architectures with Azure Cosmos DB
Module 9 : Implement CI/CD pipelines for multi-agent systems with GitHub Actions
Module 10 : Secure multi-agent systems with Azure zero-trust architecture
Module 11 : Scale responsible AI governance with Azure AI Content Safety
Module 12 : Govern the enterprise agent lifecycle in Microsoft Foundry
Module 13 : Implement distributed observability for multi-agent solutions with OpenTelemetry
Module 14 : Design evaluation frameworks for multi-agent solutions
Module 15 : Optimize multi-agent performance and cost in Microsoft Foundry
Module 16 : Design human-in-the-loop approval workflows with Power Automate and Microsoft Teams
Module 17 : Debug and respond to production multi-agent incidents in Azure
A single agent can answer, retrieve information and call a tool. A multi-agent system splits a complex goal across several specialised agents that coordinate, hand over context and keep each other in check. Moving from one to the other changes the nature of the problem: it is no longer about writing a good prompt, but about designing a distributed architecture with its exchange protocols, shared state, security boundaries and guardrails. That is exactly the scope of this course, aimed at practitioners who already build agents and now need to run them at scale.
The real difficulty never shows up in a demo. It appears when two agents write to the same state, when a handoff loses the context that mattered, when a prompt injection spreads from one agent to the next, or when the token bill grows without anyone knowing which agent caused it. The four days address these situations one by one, with the Azure services designed to handle them.
Microsoft introduced an expert-level certification dedicated to multi-agent solutions. The AI-500 exam covers four areas: designing the logical architecture, building and integrating tool ecosystems, implementing multi-agent orchestration, and integrating monitoring, security and governance. The target profile is an AI engineer or architect who works alongside developers, machine learning engineers, platform teams and business stakeholders to turn complex requirements into systems that actually run.
The certification and its exam are currently offered in beta by Microsoft. Skill objectives may still evolve before the final release, and beta exam results are published once the calibration period ends. Our trainers follow these updates and adapt the content as official revisions land.
Microsoft’s AI track has settled into a few clear steps, and AI-500 sits at the top. Picking the right step avoids attending a course that is either too advanced or too broad.
If you are still building your first agents, start with the Develop AI apps and agents on Azure (AI-103) training. If your challenge is industrialising models rather than coordinating agents, the Operationalize Machine Learning and Generative AI Solutions (AI-300) training is a better fit.
Microsoft Foundry runs through all four days. You work with the Agent service and its agents v2 model, the Responses API, session management and conversation resumption, then the orchestration patterns that hold a complete system together. Around that backbone come the Azure services that make a solution operable: Azure AI Search for hybrid RAG pipelines, Azure Cosmos DB for semantic and vector memory, Azure AI Content Safety for governance, OpenTelemetry for distributed tracing, GitHub Actions for deployment and Power Automate for human approvals.
The MCP and A2A protocols take up a significant part of the programme. The first shapes how your agents reach tools and enterprise data, the second how they talk to each other at scale. Those two building blocks are what separate a proof of concept from an enterprise architecture.
The best preparation is to take an existing agentic solution and put the course questions to it: what happens if an agent fails mid-handoff, how is one customer’s context isolated from another’s, what trace remains of a decision made three weeks ago, who approves a sensitive action and on what basis. Arriving with that real case in mind makes the labs far more productive.
After the training, 180 days of access to the official Microsoft labs let you replay the exercises on your own scenario before sitting the exam. Our sessions keep group sizes small, so there is time to compare your architecture with the trainer’s and with the other participants’.
Do I need AI-102 or AI-103 before taking AI-500?
It is not a formal requirement, but the expected level matches those certifications. Without hands-on experience building agents in Python on Azure, the step up is steep.
Is the exam included in the training?
The exam is optional and booked separately with Microsoft. We help you choose the right time slot and prepare for it.
How does this differ from the Designing a Multi-Agent AI Architecture training?
Our multi-agent architecture course covers principles, patterns and tooling across platforms. AI-500 is an official Microsoft course, entirely focused on Microsoft Foundry and Azure services, and it leads to a certification.
Is the course available on site in Geneva and Lausanne?
Yes, in both of our centres, and as a virtual classroom with the same trainer and the same labs.
Can it be funded through Temptraining?
Yes, if you are covered by a collective labour agreement. Our team helps you put the application together.
In which language is the course delivered?
Sessions are delivered in English or French depending on the group. Official Microsoft courseware and labs are in English, as for every Microsoft certification track.
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