Microsoft AI-500: Multi-Agent AI Solutions Exam Prep

About this course

Welcome to AI-500: Designing and Implementing Multi-Agent AI Solutions, a comprehensive, hands-on course designed to help you build real-world multi-agent AI systems while preparing for the Microsoft AI-500 certification exam.

AI applications are rapidly evolving beyond individual agents. Modern agentic systems increasingly involve multiple specialized agents that collaborate, share context, access tools and knowledge, maintain memory, and coordinate their actions to solve complex tasks. This course takes you from the fundamental architecture of these systems through their development, evaluation, security, and production deployment.

Throughout the course, you’ll work hands-on with Microsoft Foundry, Microsoft Agent Framework, LangGraph, LangChain, MCP, Agent2Agent (A2A), RAG, Azure services, and other technologies used to develop modern agentic AI solutions.

You’ll explore how to:

• Design agents, subagents, tools, personas, control loops, and human-in-the-loop workflows
• Implement multi-agent orchestration patterns including sequential, parallel, hub-and-spoke, handoff, and orchestrator-subagent architectures
• Build multi-agent workflows using Microsoft Agent Framework and LangGraph
• Implement short-term and long-term agent memory and effective context-management strategies
• Build RAG and knowledge integration for multi-agent systems
• Develop and integrate tools using function calling and Model Context Protocol (MCP)Connect and integrate agents using Agent2Agent (A2A) patterns
• Implement caching, context sharing, tool validation, and error-handling strategies
• Evaluate agents, prompts, memory, knowledge, and tools

Read the full description on Udemy on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.