Get Started
Exam AI-500: Designing and Implementing Multi-Agent AI SolutionsValidate your ability to design, build, and optimize scalable, production-ready multi-agent AI solutions and workflows.AI-500 Study GuideStudy guide contains topics and information you need to know to successfully prepare for the exam.Exam LabsCollection of all lab exercises that Microsoft offers. Includes Labs for Microsoft Learn.How to Prepare for Role-Based ExamsGuidance on hands-on practice, documentation, and readiness for Microsoft role-based exams.
Text
Microsoft LearnOfficial four-day Microsoft course covering the architecture, development, monitoring, security, governance, and operation of multi-agent AI solutions.Microsoft Foundry documentationLearn how to build, optimize, evaluate, monitor, secure, and govern AI apps and agents with Microsoft Foundry.Microsoft Agent Framework documentationDocumentation and tutorials for building agents and multi-agent workflows with tools, memory, orchestration, observability, and Foundry integrations.AI Agent Orchestration PatternsArchitecture guidance for sequential, concurrent, group chat, handoff, and magentic multi-agent orchestration patterns.Build a Multiple-Agent Workflow Automation SolutionReference architecture for scalable multi-agent automation with Microsoft Agent Framework, Foundry, Azure Container Apps, and Azure Cosmos DB.RAG and Generative AI with Azure AI SearchGuidance for grounding agents with agentic retrieval, knowledge sources, security controls, and classic RAG patterns.
Videos
Microsoft Agent Framework IntroductionA 30-minute introduction to Microsoft Agent Framework and its production-grade agent and workflow capabilities.Foundry IQ: The Future of RAG with Knowledge Retrieval and Azure AI SearchExplore Foundry IQ and knowledge retrieval for grounding agents with enterprise data.Build Agents with Knowledge, Agentic RAG, and Azure AI SearchLearn how to combine agents, knowledge sources, agentic retrieval, and Azure AI Search.
Tests
Paid
Misc
Microsoft Agent FrameworkOfficial open-source Python and .NET framework with samples for agents, tools, middleware, observability, hosting, and multi-agent workflows.Multi-Agent Custom Automation Engine Solution AcceleratorDeployable Microsoft reference implementation for a custom multi-agent automation architecture on Azure.Model Context Protocol documentationLearn the open standard for connecting AI applications and agents to external data sources, tools, and workflows.
