Cloud Private Public

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

4 days
AzureAICopilotAgentic AI

Learn to build generative AI apps and agents on Azure with Microsoft Foundry, integrating tools, knowledge, multimodal AI, and responsible AI practices.

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$2,445.10
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Course Overview

This course teaches software developers how to build AI-infused applications and agents on Azure using Microsoft Foundry. You will develop generative AI solutions, connect agents to tools and knowledge sources, orchestrate agent workflows, and implement text, speech, vision, and content-understanding capabilities. The course also addresses model optimization and responsible AI practices.

Course Benefits

  • Develop generative AI chat applications with Microsoft Foundry APIs and SDKs
  • Select, deploy, evaluate, and optimize AI models
  • Build AI agents and extend them with built-in, custom, MCP, and knowledge tools
  • Create agent-driven workflows and orchestrate multi-agent solutions
  • Integrate agents with Microsoft 365 and Azure AI services
  • Develop text, speech, translation, vision, image-generation, and video-generation solutions
  • Analyze multimodal content with Azure Content Understanding and Document Intelligence
  • Create knowledge-mining solutions with Azure AI Search
  • Apply responsible AI practices to identify, measure, and mitigate potential harms

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .
Private Class
Delivered for your team at your site or online.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Microsoft Certified Partner

Course Outline

  1. Plan and prepare to develop AI solutions on Azure
    1. What is AI?
    2. Microsoft Foundry
    3. Foundry Tools
    4. Developer tools and SDKs
    5. Responsible AI
    6. Module assessment
  2. Select, deploy, and evaluate Microsoft Foundry models
    1. Explore the model catalog
    2. Select models using benchmarks
    3. Deploy models to endpoints
    4. Evaluate model performance
  3. Develop a generative AI chat app with Microsoft Foundry
    1. Explore with the model playground
    2. Choose an endpoint and SDK
    3. Generate responses with the Responses API
    4. Generate responses with the ChatCompletions API
  4. Develop generative AI apps that use tools
    1. What are tools?
    2. Use the code_interpreter tool
    3. Use the web_search tool
    4. Use the file_search tool
    5. Use the functions tool
    6. Module assessment
  5. Optimize generative AI model performance with Microsoft Foundry
    1. Optimize model output with prompt engineering
    2. Ground your model with Retrieval Augmented Generation
    3. Fine-tune a model for consistent behavior
    4. Compare and combine optimization strategies
    5. Module assessment
  6. Implement a responsible generative AI solution in Microsoft Foundry
    1. Plan a responsible generative AI solution
    2. Map potential harms
    3. Measure potential harms
    4. Mitigate potential harms
    5. Manage a responsible generative AI solution
    6. Module assessment
  7. Develop AI agents with Microsoft Foundry and Visual Studio Code
    1. Understand AI agents and Microsoft Foundry Agent Service
    2. Explore development approaches
    3. Build your first agent in Microsoft Foundry
    4. Set up Visual Studio Code for agent development
    5. Configure and manage agents in Visual Studio Code
    6. Extend agent capabilities with tools
    7. Test, deploy, and integrate agents
  8. Integrate custom tools into your agent
    1. Why use custom tools
    2. Options for implementing custom tools
    3. How to integrate custom tools
    4. Module assessment
  9. Integrate MCP tools with Azure AI agents
    1. Understand MCP tool discovery
    2. Integrate agent tools using an MCP server and client
    3. Use Azure AI agents with MCP servers
    4. Module assessment
  10. Build knowledge-enhanced AI agents with Foundry IQ
    1. Understand RAG for agents
    2. Explore Foundry IQ
    3. Configure data sources for knowledge bases
    4. Configure retrieval with Foundry IQ
  11. Integrate your agent with Microsoft 365
    1. Understand Foundry agent publishing options
    2. Publish an agent from the Foundry portal to Teams
    3. Use Microsoft 365 Agents Toolkit
    4. Access Microsoft 365 data with Work IQ
    5. Test and iterate your integrated agent
  12. Build agent-driven workflows using Microsoft Foundry
    1. Understand workflows
    2. Identify workflow patterns
    3. Create workflows in Microsoft Foundry
    4. Add agents to a workflow
    5. Apply Power Fx in workflows
    6. Maintain workflows in Microsoft Foundry
    7. Use workflows in code
    8. Module assessment
  13. Develop an AI agent with Microsoft Agent Framework
    1. Understand Microsoft Agent Framework AI agents
    2. Create an Azure AI agent with Microsoft Agent Framework
    3. Add tools to an Azure AI agent
  14. Orchestrate a multi-agent solution using Microsoft Agent Framework
    1. Understand Microsoft Agent Framework
    2. Understand agent orchestration
    3. Use concurrent orchestration
    4. Use sequential orchestration
    5. Use group chat orchestration
    6. Use handoff orchestration
    7. Use Magentic orchestration
  15. Discover Azure AI agents with A2A
    1. Define an A2A agent
    2. Implement an agent executor
    3. Host an A2A server
    4. Connect to your A2A agent
    5. Module assessment
  16. Analyze text with Azure Language in Foundry Tools
    1. Azure Language in Microsoft Foundry Tools
    2. Detect language
    3. Extract entities
    4. Extract personally identifiable information (PII)
    5. Module assessment
  17. Develop a text analysis agent with the Azure Language MCP server
    1. Understand the Azure Language MCP server
    2. Connect and use the Language MCP server with an agent
  18. Develop a speech-capable generative AI application
    1. Choose a speech-capable model
    2. Transcribe speech
    3. Synthesize speech
    4. Module assessment
  19. Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
    1. Azure Speech in Foundry Tools
    2. Use the Speech to Text API
    3. Use the Text to Speech API
    4. Configure audio formats and voices
    5. Use Speech Synthesis Markup Language
    6. Module assessment
  20. Develop a speech agent with the Azure Speech MCP server
    1. Understand the Azure Speech MCP server
    2. Connect and use the Speech MCP server with an agent
  21. Develop an Azure Speech Voice Live agent in Microsoft Foundry
    1. Explore the Azure Voice Live API
    2. Explore the AI Voice Live client library for Python
    3. Create a Voice Live agent
    4. Module assessment
  22. Translate text and speech with Microsoft Foundry Tools
    1. Translation in Microsoft Foundry
    2. Translate text
    3. Translate speech
    4. Module assessment
  23. Develop a vision-enabled generative AI application
    1. Use a vision-capable model in the Microsoft Foundry portal
    2. Develop a vision-based chat app
    3. Module assessment
  24. Generate images with AI
    1. What are image-generation models?
    2. Explore image-generation models in the Microsoft Foundry portal
    3. Create a client application that uses an image-generation model
    4. Module assessment
  25. Generate videos with Microsoft Foundry
    1. Deploy a video-generation model
    2. Generate video from a prompt
    3. Generate video in Python
    4. Module assessment
  26. Analyze images with Content Understanding
    1. What is Content Understanding?
    2. Analyze images with Content Understanding
    3. Module assessment
  27. Create a multimodal analysis solution with Azure Content Understanding
    1. What is Azure Content Understanding?
    2. Create a Content Understanding analyzer
    3. Use the Content Understanding API
    4. Module assessment
  28. Create an Azure Content Understanding client application
    1. Prepare to use the AI Content Understanding API
    2. Create a Content Understanding analyzer
    3. Analyze content
    4. Module assessment
  29. Extract data with Azure Document Intelligence
    1. What is Azure Document Intelligence?
    2. Use Document Intelligence Studio
    3. Use prebuilt models
    4. Train and use custom models
    5. Module assessment
  30. Create a knowledge-mining solution with Azure AI Search
    1. What is Azure AI Search?
    2. Extract data with an indexer
    3. Enrich extracted data with AI skills
    4. Search an index
    5. Persist extracted information in a knowledge store
    6. Module assessment

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this Azure class:

  • Familiarity with Python
  • Working knowledge of APIs and SDKs

Experience in the following would be useful for this Azure class:

  • Experience building agents or generative AI solutions on Azure

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