Intermediate
New
4.8
2,847

Agentic AI - Building Multi-Agent Systems with Azure AI Foundry

Build a multi-agent system for a juice bar using Azure AI Foundry Agent Service, Cosmos DB, and Logic Apps to handle orders and table reservations automatically.

Skills You'll Learn

Agent Service
Azure AI Foundry
Lab preview
Ready
9
Modules
1 hour
Duration

Lab Modules

9 steps
Logging into Azure Account using Azure Portal
Getting Familiar with Your Deployed Azure Resources
Uploading Sample Data to Your Cosmos DB Containers
Deploying Azure AI Foundry Resource
Deploying a Large Language Model (LLM)
Creating BlendBot: Your Customer Service Agent
Creating OrderMaster: Your Order Processing Agent
Creating TableKeeper: Your Reservation Management Agent
Testing Your Multi-Agent System

Lab Overview

Azure AI Foundry Agent Service is Microsoft's comprehensive platform for building intelligent, collaborative AI agent systems that can work together to solve complex business problems. It provides powerful orchestration capabilities, seamless integration with Azure services, and advanced tools for creating specialized agents that can hand off tasks to one another. This service is invaluable for organizations looking to automate customer service workflows, streamline business processes, and create sophisticated AI-powered applications that require multiple specialized components working in harmony.

In this lab, you will build a complete multi-agent restaurant management system for Fresh Blends juice bar. You'll learn how to create specialized AI agents that work together seamlessly, deploy Logic Apps for backend processing, store data in Cosmos DB, and orchestrate complex workflows through agent handoffs and tool integrations.

Objectives

Upon completion of this intermediate level lab, you will be able to:

  • Deploy Azure infrastructure components including Cosmos DB, Logic Apps, and AI Foundry resources using ARM templates
  • Create specialized AI agents (BlendBot, OrderMaster, TableKeeper) with distinct roles and capabilities
  • Configure agent handoffs and connected agent relationships for seamless workflow orchestration
  • Integrate Logic Apps as tools within AI agents for backend order and reservation processing
  • Implement knowledge stores and vector databases to enhance agent capabilities with business-specific information
  • Test multi-agent interactions and validate end-to-end restaurant management workflows
  • Troubleshoot common issues in multi-agent systems and agent tool configurations

Who is this lab for?

This lab is designed for:

  • AI Solution Architects looking to design and implement multi-agent systems for business automation
  • Cloud Developers interested in building intelligent applications using Azure AI services and agent orchestration
  • DevOps Engineers seeking to deploy and manage complex AI-powered workflows in Azure environments
  • Business Analysts who want to understand how AI agents can transform customer service and operational processes
  • Technical Consultants advising clients on implementing AI agent solutions for restaurant and hospitality industries