35 reviews

Microsoft Multi-Agent AI Solutions (AI-500) Course

Item: Microsoft Multi-Agent AI Solutions (AI-500) Course
Rating: 10
Author: Johan Andersson

This course focuses on the practical skills needed to architect and develop multi-agent AI solutions using Microsoft Foundry and Azure.

Course: Microsoft Multi-Agent AI Solutions (AI-500)

Duration: 4 days

Format: Virtual or Classroom

Prepares for Exam: Designing and Implementing Multi-Agent AI Solutions AI-500

Prepares for Certification: Microsoft Certified: Multi-Agent AI Solutions Expert

Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training

Overview

The course validates your ability to design logical architecture for multi-agent solutions, build and integrate tool ecosystems, implement multi-agent orchestration and integration of monitoring, security and governance.

This course includes

Instructor-led training
Personal Learning Path
Certification Guarantee
Email, chat and phone support

Who is the Microsoft Multi-Agent AI Solutions (AI-500) training course for?

Candidates for this course, are expert-level practitioners who have subject matter expertise in designing, building, and optimizing scalable, production‑ready, multi-agent AI systems, solutions and workflows. Out of your job role, you work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready, multi-agent solutions.

Curriculum

What you will learn during our Microsoft Multi-Agent AI Solutions (AI-500) course.

Architect production-grade multi-agent AI solutions in Azure

Design stateful agentic loops with Microsoft Foundry agent service
Implement advanced multiagent orchestration patterns in Microsoft Foundry
Apply task decomposition and agent collaboration strategies in Microsoft Foundry
Design enterprisescale agent communication with A2A in Azure

Build production-grade multi-agent capabilities with Microsoft Foundry

Design advanced prompting strategies for production AI agents
Build enterprisegrade tool ecosystems with MCP and Microsoft Foundry
Implement advanced RAG pipelines with Azure AI Search and Microsoft Foundry
Design multiagent memory architectures with Azure Cosmos DB

Deploy and govern enterprise agentic AI solutions on Azure

Implement CI/CD pipelines for multiagent systems with GitHub Actions
Secure multiagent systems with Azure zerotrust architecture
Scale responsible AI governance with Azure AI Content Safety and Microsoft Foundry
Govern the enterprise agent lifecycle in Microsoft Foundry

Monitor, evaluate, and operate multi-agent AI solutions in Azure

Implement distributed observability for multiagent solutions with OpenTelemetry
Design evaluation frameworks for multiagent solutions with Microsoft Foundry
Optimize multiagent performance and cost in Microsoft Foundry
Design humanintheloop approval workflows with Power Automate and Microsoft Teams
Debug and respond to production multiagent incidents in Azure

Preparation

At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. While there are no strict entry requirements, certain foundational knowledge may enhance your learning experience. Any recommended prerequisites specific to this course are detailed below.

Completion of AI-103 "Develop AI agents on Azure" and AI-300 "Operationalize generative AI applications" or equivalent hands-on experience building and deploying agents
Working experience with Microsoft Foundry Agent Service and Microsoft Agent Framework
Familiarity with foundational multi-agent orchestration patterns (sequential, concurrent, group chat, handoff)
Basic knowledge of the A2A protocol and how to connect to a remote agent
Python proficiency with the Azure AI SDK and Azure OpenAI SDK
Python programming proficiency, including async patterns and REST API consumption
Experience consuming MCP tools and custom function tools with Microsoft Foundry Agent Service
Familiarity with classic RAG retrieval patterns using Azure AI Search (hybrid search, semantic ranking); experience with Foundry IQ agentic retrieval is beneficial but not required
Experience with system prompt design for agent persona and behavior control
Familiarity with Microsoft Foundry project deployment and Azure managed identities
Working experience with GitHub Actions for CI/CD pipeline design
Basic knowledge of Azure security services (Azure Key Vault, Microsoft Entra ID)
Familiarity with responsible AI principles, Azure AI Content Safety guardrails, and basic Microsoft Entra ID concepts (managed identities, RBAC)
Experience with OpenTelemetry instrumentation and Azure Monitor / Log Analytics workspaces
Familiarity with Microsoft Foundry agent evaluation runs and the portal evaluation workflow
Basic familiarity with Power Automate workflow design

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Julian Sharp

Julian Sharp delivers high-quality, LIVE instructor-led training in Microsoft Dynamics 365 and Power Platform for professionals seeking real-world skills and certification readiness. With decades of industry experience and deep technical expertise, he helps learners master complex solutions efficiently.

Meet the Instructor: Julian Sharp
MCT | MVP | Solution Architect | Dynamics 365 & Power Platform Expert

With 20+ years of experience and over 16 years specializing in Dynamics CRM/365 and Power Platform, Julian has trained thousands of professionals and helped organizations solve real business challenges using Microsoft technologies.

A Microsoft Certified Trainer since 2007 and a Microsoft MVP, Julian brings a rare combination of deep technical knowledge and a practical, business-first mindset.

He’s not just an instructor - he’s a community leader, consultant, and solution architect trusted by enterprises across the globe.

Microsoft MVP – Business Applications 
Specialist in Dynamics 365, Power Platform & Azure 
Developer of Microsoft courseware
Speaker & mentor at Microsoft community events

Ready to build solutions with one of the best in the field?

Explore upcoming courses with Julian Sharp to get started.

Tiago Costa

With a long-standing reputation as a Microsoft MVP and MCT, Tiago Costa delivers LIVE training that blends expert knowledge with real-world application. His courses help professionals build hands-on cloud skills and prepare effectively for Microsoft certifications.

Meet the Instructor: Tiago Costa

At Readynez, we believe world-class training starts with world-class instructors - and Tiago Costa is a prime example.

With over 20 years of experience delivering Microsoft Cloud & AI solutions (including to Fortune 500 companies), Tiago brings a rare combination of deep technical expertise and real-world perspective to every course.

50+ Microsoft certifications.
Microsoft MVP since 2016 & Microsoft Certified Trainer since 2006. 
Speaker, architect, and trusted advisor to global enterprises.

As a dedicated community leader, an independent contractor and founder of the Azure & AI Portugal User Group, Tiago is passionate about helping others grow their careers through knowledge sharing and practical skills.

When you train with Tiago, you’re not just learning from certified professionals...
You’re learning from a global leader.

Find your next Microsoft course with Tiago Costa here.

Wilson Tsui Sie Min

Wilson Tsui Sie Min, an experienced Azure and cloud instructor delivers LIVE IT training and certification courses at Readynez. With nearly two decades of global training and infrastructure experience, Wilson helps IT professionals prepare for Azure exams, strengthen cloud skills, and apply practical knowledge through expert-led training.

Meet Wilson Tsui Sie Min – an Azure specialist and globally experienced IT trainer in the Readynez instructor community.

Based in Kuala Lumpur, Wilson brings nearly two decades of experience across enterprise infrastructure, consulting, and international technical training. His background spans everything from system administration and networking to cloud technologies, virtualization, and modern development.

Wilson has worked as a certified trainer for major technology vendors including Microsoft, Citrix, IBM and Huawei, and has delivered training programs to IT professionals across Europe, Africa, Asia and Oceania. Over the years, he has also contributed to enterprise infrastructure projects ranging from Active Directory migrations and storage infrastructure deployments to data center transformations.

Today, Wilson specializes in Microsoft Azure, cloud infrastructure, virtualization and modern development technologies, helping professionals translate complex technical concepts into practical, real-world solutions.

Beyond training, Wilson is passionate about exploring emerging technologies such as AI, cloud computing, and software development, continuously experimenting with new tools and platforms to stay at the forefront of innovation.

Explore upcoming Azure and cloud courses with Wilson at Readynez.

FAQs

FAQs for the Microsoft Multi-Agent AI Solutions (AI-500) course.

What are multi-agent AI solutions?

Multi-agent AI solutions use multiple specialised AI agents that can communicate, collaborate, and perform different tasks to achieve a shared objective. Instead of relying on a single AI agent, organisations can create systems in which agents work together as a coordinated team.

Who should take this course?

The course is designed for AI and software developers, cloud and data professionals, solution architects, consultants, and other technology professionals interested in developing agentic and multi-agent AI applications.

Do I need prior AI experience?

A basic understanding of AI, generative AI, software development, or cloud technologies is beneficial. The specific prerequisites may vary depending on the learner's technical background.

What technologies are covered?

The course focuses on technologies and concepts within the Microsoft AI ecosystem, including Azure AI capabilities and tools for building, orchestrating, integrating, evaluating, and managing AI agents.

Is the course practical?

Yes. The course is designed around practical learning, with hands-on exercises and real-world scenarios that help learners apply multi-agent AI concepts to business and technical challenges.

What will I be able to do after completing the course?

You will be better equipped to design multi-agent architectures, build and orchestrate AI agents, connect agents to tools and enterprise data, evaluate AI solutions, and apply security and responsible AI principles.

Why is multi-agent AI important?

Multi-agent AI can help organisations break complex workflows into specialised tasks, allowing different agents to collaborate and make AI-powered applications more flexible, scalable, and capable of handling sophisticated processes.

Reviews

Feedback from our delegates.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

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