AI-500 Multi-Agent AI Solutions Expert Course

  • Duration 4 days or 4 weeks
  • Price From $1,999 + GST
  • Exam Included Official Microsoft AI-500 Exam Worth $250
  • Schedule Options Full-Time (Weekdays), Part-Time (Weeknights), Part-Time (Weekends)
  • Study Mode Instructor-led, in-person or live online
  • Locations Melbourne, Sydney, Brisbane, Adelaide, Perth and Canberra, plus live online across Australia

The Microsoft Certified: Multi Agent AI Solutions Expert certification covers architecting, building, evaluating, securing and deploying production multi agent AI solutions with Microsoft Foundry and Azure.

Designing and Implementing Multi-Agent AI Solutions Training

Exam AI-500, Designing and Implementing Multi-Agent AI Solutions, is the exam for the Microsoft Certified: Multi-Agent AI Solutions Expert certification. Microsoft describes the candidate as an expert-level practitioner who designs, builds and optimizes production multi-agent AI systems and workflows. Microsoft publishes the course AI-500T00, Design and implement multi-agent AI solutions.

Who this course suits

This AI-500 course suits AI engineers and machine learning engineers who deploy agentic systems in production, and practitioners who manage multi-agent AI development from design to production. Microsoft Learn lists developers, machine learning engineers, platform engineers and data scientists as the colleagues these practitioners work with.

What this course covers

The AI-500 course follows the four skills areas Microsoft lists for the exam: architecting multi-agent solutions, developing multi-agent solutions in Azure, evaluating, optimizing and monitoring multi-agent solutions, and securing, governing and deploying multi-agent solutions. Topics include Microsoft Foundry, Model Context Protocol (MCP), Agent2Agent (A2A), retrieval-augmented generation, observability and guardrails. Related Logitrain courses include the AI-103 Azure AI Apps and Agents Developer course, the AB-620 AI Agent Builder Associate course and the AI-200 Develop AI Cloud Solutions on Azure course. Training will help prepare candidates for the AI-500 Designing and Implementing Multi-Agent AI Solutions exam.

Logitrain has been delivering high-quality, cost-effective training since 2004. Browse more courses in the AI and machine learning category.

Microsoft Certified: Multi-Agent AI Solutions Expert is listed by Microsoft at the Expert level. Microsoft Learn lists no related exams for it and no retirement date.

The Logitrain course includes the official Microsoft exam fee and digital course material, and is backed by the price beat guarantee. The exam can be attempted at any Pearson VUE test centre or online through Pearson VUE online proctoring. Training is available in person, in house or live online.

Microsoft lists no related exams for this certification. The audience profile describes experience developing AI and machine learning, deploying agentic systems in production environments and orchestrating agent logic with Microsoft Foundry, together with Python programming experience and experience with Azure compute, network, storage and data services.

Microsoft also names familiarity with Microsoft Agent Framework, Model Context Protocol (MCP), retrieval-augmented generation (RAG) and LangGraph. The AI-103 Azure AI Apps and Agents Developer course is a related Logitrain course.

Candidates can achieve this certification by passing the following exam.

Exam AI-500: Designing and Implementing Multi-Agent AI Solutions, for Microsoft Certified: Multi-Agent AI Solutions Expert

Book and attempt the exam within three months of finishing the course.

Attempt it at any Pearson VUE test centre, or online through Pearson VUE online proctoring from a private space with a camera, microphone and speaker.

Exam format: a passing score of 700 or greater.

Digital course material included for Exam AI-500: Designing and Implementing Multi-Agent AI Solutions.

  • Designing logical architecture for multi-agent solutions, including workflows, agents, subagents and human-in-the-loop controls
  • Specifying technology components for multi-agent solutions, including integration, state persistence, compute, observability and monitoring components
  • Designing prompt engineering strategies, including prompt lifecycle management
  • Implementing agent memory, context management and knowledge integration
  • Designing multi-agent RAG architecture
  • Building MCP servers and clients and integrating tool ecosystems
  • Implementing multi-agent orchestration patterns with Agent Framework, LangChain and LangGraph
  • Integrating agents securely with Agent2Agent (A2A) and MCP
  • Designing evaluation and validation strategies for multi-agent solutions
  • Optimizing prompt and model performance, including token usage and cost
  • Implementing tracing and monitoring in Microsoft Foundry
  • Designing security for multi-agent solutions, including identity, authentication flows and secrets management
  • Designing guardrails for user inputs, tool calls, tool responses and outputs
  • Deploying multi-agent solutions to Azure with release strategies and CI/CD
  • AI engineers and machine learning engineers who deploy agentic systems in production
  • Practitioners who manage multi-agent AI development from design to production

Architect multi-agent solutions

  • Design logical architecture for multi-agent solutions
  • Specify technology components to include in a multi-agent solution

Develop multi-agent solutions in Azure

  • Design and implement advanced prompt engineering strategies in multi-agent solutions
  • Design and implement agent memory, context management, and knowledge integration
  • Build and integrate tool ecosystems
  • Implement multi-agent orchestration

Evaluate, optimize, and monitor multi-agent solutions

  • Design and implement evaluation and validation strategies for multi-agent solutions
  • Optimize prompt and model performance for multi-agent solutions
  • Design and implement observability and monitoring for multi-agent solutions

Secure, govern, and deploy multi-agent solutions

  • Design and implement security for multi-agent solutions
  • Design and implement guardrails for multi-agent solutions
  • Deploy multi-agent solutions to Azure

Got a team to train? Logitrain delivers this course in house at the client site anywhere in Australia, with a skilled trainer, digital course material and the official Microsoft exam, as in the public course. It suits teams who want a group trained together on dates that suit the business.

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What is the Multi-Agent AI Solutions Expert certification?

It is the Microsoft certification for expert-level practitioners who design, build and optimize production multi-agent AI systems and workflows. Candidates can achieve it by passing the Microsoft exam Designing and Implementing Multi-Agent AI Solutions.

Is the exam included in the Multi-Agent AI Solutions Expert course?

Yes. The official Microsoft exam fee is included in the course. Training will help prepare you for the Designing and Implementing Multi-Agent AI Solutions exam.

What are the prerequisites for the Multi-Agent AI Solutions Expert course?

Microsoft lists no related exams. The audience profile describes experience developing AI and machine learning, deploying agentic systems in production, orchestrating agent logic with Microsoft Foundry, Python programming, and Azure compute, network, storage and data services.

Is this the current Multi-Agent AI Solutions Expert exam?

The exam is Designing and Implementing Multi-Agent AI Solutions. Microsoft publishes the current exam details on its Multi-Agent AI Solutions Expert certification page on Microsoft Learn, so check that page for the latest version.

How long is the Multi-Agent AI Solutions Expert course?

The length depends on the schedule option chosen. Full-time weekdays, part-time weeknights and part-time weekends are available, and the current duration is shown in the course details on this page.

Where does Multi-Agent AI Solutions Expert training run?

Training runs in Melbourne, Sydney, Brisbane, Adelaide, Perth and Canberra, plus live online across Australia. In-house delivery at your site is also available.

Which course should come before or after Multi-Agent AI Solutions Expert?

Logitrain also runs the AI-103 Azure AI Apps and Agents Developer course and the AB-620 AI Agent Builder Associate course.

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Take the certification exam within 3 months of course / module completion

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Take the official certification exam at Logitrain, a local VUE test centre or online

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