Develop AI Apps and Agents on Azure AI-103T00

Module 1Plan and prepare to develop AI solutions on Azure

• What is AI?
• Microsoft Foundry
• s on
• Azure.

Module 2

• Foundry Tools
• Developer tools and SDKs
• Responsible AI
• Module assessment
• Explore the model catalog
• Select models using benchmarks
• Deploy models to endpoints
• Evaluate model performance
• models
• Explore with the model playground

Module 3Develop a generative AI chat app with Microsoft

• Foundry
• Choose an endpoint and SDK
• Generate responses with the Responses API
• Generate responses with the ChatCompletions API

Module 4Develop generative AI apps that use tools

• What are tools?
• Use the code_interpreter tool
• Use the web_search tool
• Use the file_search tool
• Use the functions tool
• Module assessment

Module 5Optimize generative AI model performance with

• Microsoft Foundry
• 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 assessment

Module 6Implement a responsible generative AI solution in

• Microsoft Foundry
• Plan a responsible generative AI solution
• Map potential harms
• Measure potential harms
• Mitigate potential harms
• Manage a responsible generative AI solution
• Module assessment

Module 7Develop AI agents with Microsoft Foundry and

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

Module 8Integrate custom tools into your agent

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

Module 9Integrate 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 assessment

Module 10Build 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 11Integrate your agent with Microsoft 365

• Understand Foundry agent publishing options
• Publish an agent from Foundry portal to Teams
• Advanced - Use Microsoft 365 Agents Toolkit
• Access Microsoft 365 data with Work IQ
• Test and iterate your integrated agent

Module 12Build agent - driven workflows using Microsoft

• Foundry
• Understand Workflows
• Identify Workflow Patterns
• Create workflows in Microsoft Foundry
• Add Agents to a Workflow
• Apply Power Fx in Workflows
• Maintain Workflows in Microsoft Foundry
• Use workflows in code
• Module Assessment

Module 13Develop an AI agent with Microsoft Agent

• Framework
• Understand Microsoft Agent Framework AI agents
• Create an Azure AI agent with Microsoft Agent Framework
• Add tools to Azure AI agent

Module 14Orchestrate a multi - agent solution using the

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

Module 15Discover Azure AI Agents with A2A

• Define an A2A agent
• Implement an agent executor
• Host an A2A server
• Connect to your A2A agent
• Module assessment

Module 16Analyze text with Azure Language in Foundry Tools

• Azure Language in Microsoft Foundry Tools
• Detect language
• Extract entities
• Extract personally identifiable information (PII)
• Module assessment

Module 17Develop a text analysis agent with the Azure

• Language MCP server
• Understand the Azure Language MCP server
• Connect and use the Language MCP server with an agent

Module 18Develop a speech -capable generative AI application

• Choose a speech - capable model
• Transcribe speech
• Synthesize speech
• Module assessment

Module 19Create speech -enabled apps with Azure Speech in

• Microsoft Foundry Tools
• Azure Speech in Foundry Tools
• Use the Speech to Text API
• Use the Text to Speech API
• Configure audio format and voices
• Use Speech Synthesis Markup Language
• Module assessment

Module 20Develop a speech agent with the Azure Speech MCP

• server
• Understand the Azure Speech MCP server
• Connect and use the Speech MCP server with an agent

Module 21Develop an Azure Speech Voice Live Agent in

• Microsoft Foundry
• Explore the Azure Voice Live API
• Explore the AI Voice Live client library for Python
• Create a Voice Live agent
• Module assessment

Module 22Translate text and speech with Microsoft Foundry

• Tools
• Translation in Microsoft Foundry
• Translate text
• Translate speech
• Module assessment

Module 23Develop a vision - enabled generative AI application

• Use a vision - capable model in the Microsoft Foundry portal
• Develop a vision- based chat app
• Module assessment

Module 24Generate images with AI

• What are image- generation models?
• Explore image- generation models in Microsoft Foundry portal
• Create a client application that uses an image generation model
• Module assessment

Module 25Generate videos with Microsoft Foundry

• Deploy a video generating model
• Generate video from a prompt
• Generate video in Python
• Module assessment

Module 26Analyze images with Content Understanding

• What is Content Understanding?
• Analyze images with Content Understanding
• Module assessment

Module 27Create a multimodal analysis solution with Azure

• Content Understanding
• What is Azure Content Understanding?
• Create a Content Understanding analyzer
• Use the Content Understanding API
• Module assessment

Module 28Create an Azure Content Understanding client

• application
• Prepare to use the AI Content Understanding API
• Create a Content Understanding analyzer
• Analyze content
• Module assessment

Module 29Extract data with Azure Document Intelligence

• What is Azure Document Intelligence?
• Use the Document Intelligence Studio
• Use prebuilt models
• Train and use custom models
• Module assessment

Module 30Create a knowledge mining solution with Azure AI

• Search
• What is Azure AI Search?
• Extract data with an indexer
• Enrich extracted data with AI skills
• Search an index
• Persist extracted information in a knowledge store
• Module assessment