Develop AI Apps and Agents on Azure (AI-103T00)

Course Duration

4 Days

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

Familiarity with Python and experience using APIs and SDKs to build applications on Azure.

Course Description

This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics include developing generative AI apps, building AI agents, implementing knowledge connections and tools in agentic applications, and multimodal capabilities. This is the successor to AI-102T00 and covers the latest Azure AI and agent development patterns.

Learning Objectives

• Design and develop generative AI applications using Microsoft Foundry
• Select, deploy, and evaluate AI models from the Azure model catalog
• Build AI agents with tools, knowledge connections, and MCP integrations
• Implement Retrieval Augmented Generation (RAG) to ground AI responses in organizational data
• Fine-tune and optimize generative AI models for consistent behavior
• Orchestrate multi-agent workflows using the Microsoft Agent Framework
• Apply responsible AI practices including harm mapping, measurement, and mitigation
• Develop speech, vision, and language capabilities into AI applications
• Extract structured data from documents and build knowledge mining pipelines with Azure AI Search

Course Outline

Module 1: Plan and Prepare to Develop AI Solutions on Azure

• What is AI?
• Microsoft Foundry
• Foundry Tools
• Developer tools and SDKs
• Responsible AI

Module 2: Select, Deploy, and Evaluate Microsoft Foundry Models

• Explore the model catalog
• Select models using benchmarks
• Deploy models to endpoints
• Evaluate model performance

Module 3: Develop a Generative AI Chat App with Microsoft Foundry

• Explore with the model playground
• Choose an endpoint and SDK
• Generate responses with the Responses API
• Generate responses with the ChatCompletions API

Module 4: Develop Generative AI Apps That Use Tools

• Use the code_interpreter tool
• Use the web_search tool
• Use the file_search tool
• Use the functions tool

Module 5: Optimize Generative AI Model Performance

• Optimize model output with prompt engineering
• Ground your model with Retrieval Augmented Generation
• Fine-tune a model for consistent behavior
• Compare and combine optimization strategies

Module 6: Implement a Responsible Generative AI Solution

• Plan a responsible generative AI solution
• Map potential harms
• Measure potential harms
• Mitigate potential harms
• Manage a responsible generative AI solution

Module 7: Develop AI Agents with Microsoft Foundry and Visual Studio Code

• Understand AI agents and Microsoft Foundry Agent Service
• Build your first agent in Microsoft Foundry
• Configure and manage agents in Visual Studio Code
• Extend agent capabilities with tools
• Test, deploy, and integrate agents

Module 8: Integrate Custom Tools into Your Agent

• Why use custom tools
• Options for implementing custom tools
• How to integrate custom tools

Module 9: Integrate MCP Tools with Azure AI Agents

• Understand MCP tool discovery
• Integrate agent tools using an MCP server and client
• Use Azure AI agents with MCP servers

Module 10: Build Knowledge-Enhanced AI Agents with Foundry IQ

• Understanding RAG for agents
• Explore Foundry IQ
• Configure data sources for knowledge bases
• Configure retrieval with Foundry IQ

Module 11: Orchestrate Multi-Agent Solutions

• Understand the Microsoft Agent Framework
• Use concurrent and sequential orchestration
• Use group chat and handoff orchestration
• Use Magentic orchestration

Module 12: Work with Language, Speech, and Vision Services

• Analyze text with Azure Language in Foundry Tools
• Develop speech-capable generative AI applications
• Translate text and speech with Microsoft Foundry Tools
• Develop vision-enabled generative AI applications
• Generate images and videos with AI

Module 13: Extract Data and Build Knowledge Mining Solutions

• Extract data with Azure Document Intelligence
• Create a knowledge mining solution with Azure AI Search
• Create a multimodal analysis solution with Azure Content Understanding

Frequently Asked Questions