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AI-500 Multi-Agent AI Solutions Exam Prep + 2 Practice Exams
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AI-500 Multi-Agent AI Solutions Exam Prep + 2 Practice Exams

The ONLY AI-500 exam preparation course you need to pass in 2026! Updated to the latest AI-500 curriculum!
Created byJoel Palmer - Microsoft Solution Architect - Technical Expert - PMP
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Translate business goals and AI-500 requirements into single-agent or multi-agent architectures, clear roles, workflows and human approval boundaries
  • Select Azure compute, state, memory, model and Azure AI Search patterns for reliability, performance, security and cost
  • Build context-aware agents with effective prompts, structured outputs, model selection, fine-tuning and responsible AI practices
  • Connect agents to tools and services using function calling, Microsoft Agent Framework, MCP, Agent2Agent and Azure integrations
  • Evaluate agent quality with human and automated evaluations, representative datasets, meaningful metrics and evidence-based release decisions
  • Improve agent performance through caching, concurrency, middleware, context management, execution controls and token and cost optimization
  • Secure and govern multi-agent solutions with Microsoft Entra ID, Key Vault, least privilege, guardrails and safe deployment practices
  • Monitor agent traces, quality, reliability and cost, plan safe releases and rollback, and solve AI-500 scenarios by spotting decisive clues

Course content

20 sections • 64 lectures • 13h 31m total length

  • Decompose Business Goals into Workflows, Agents, Tools and Knowledge Sources11:11
  • Translate Functional and Nonfunctional Requirements into a Multi-Agent Architect11:29
  • Design Agent, Subagent, Control Loop and Human Approval Boundaries10:03

    Design safe, understandable multi-agent systems by defining ownership, delegation, repetition limits, and human pauses, using a four-boundary model (agent, sub-agent, control loop, human) with clear authority, context, state, and evidence.

  • Choose Single-Agent or Multi-Agent Designs for Task Complexity and Reliability9:50
  • Compare Hub-and-Spoke, Hierarchical and Decentralized Multi-Agent Topologies10:46
  • Architecture Decomposition, Workflow Boundaries and Topology Selection

Requirements

  • There are no formal prerequisites, and you do not need prior AI-500 certification or multi-agent AI experience. The lessons explain key concepts and exam reasoning step by step, so you can get started even if you are new to agentic AI. Familiarity with cloud computing, Azure and software development will be helpful, especially for code-focused lessons, but you do not need to be an expert or code along.

Description

AI-500 IS THE GOAL. THIS IS THE END GOAL FOR MICROSOFT AI CERTIFICATION!


Looking for one focused course to help you prepare to pass Microsoft AI-500? Look no further. Bring the exam’s multi-agent AI topics together with clear teaching, guided walkthroughs of realistic examples, step-by-step code demonstrations and two practice exams.


THE X-FACTOR: You’ll see the decision-making unfold. Follow a real-world problem as it becomes an agent design, an Azure solution and a set of choices you can reason through on the exam. See how the components work together, why an approach fits the scenario, which clues matter and how a changed requirement could change the answer.


Build the understanding to make those calls across the course:

• Design agent workflows, roles, handoffs, human approval boundaries, memory and context

• Choose suitable models, Azure services and compute, and connect agents to tools with Microsoft Foundry, Agent Framework, Azure AI Search, function calling, MCP, Agent2Agent, LangChain and LangGraph

• Evaluate agent quality, interpret results, trace activity, monitor reliability and improve performance and cost

• Apply identity, access controls, Microsoft Entra ID, Key Vault and guardrails

• Reason through testing, deployment, release strategies and rollback


You won’t be left guessing how the concepts fit together. Each topic is taught with a practical example and exam-focused reasoning, helping you connect what you learn to the decisions AI-500 asks you to make.


Two practice exams are included to help you test your knowledge, uncover areas to revisit and track your progress. Use the lessons to strengthen weaker topics, then retake the exams as you prepare to reach consistent scores above 80% before exam day.


If you’re serious about AI-500, give yourself a structured preparation plan that brings the concepts, examples, code walkthroughs and practice together. Start today and build the confidence to take on exam day!

Who this course is for:

  • This course is for learners preparing for the Microsoft AI-500 exam, including Azure developers, AI engineers, solution architects, cloud professionals and technical leads who want to design, build or evaluate multi-agent AI solutions. It’s also suited to developers moving into agentic AI who want a guided introduction to Microsoft Foundry, Agent Framework, Azure AI Search, MCP, evaluation, monitoring and secure deployment. You’ll get the most from it if you want to understand why a design choice fits a scenario and how to reason through the decisions tested on AI-500

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