Microsoft Copilot & Azure AI
AI-103T00: Develop AI Apps and Agents on Azure
Develop AI apps and agents on Azure.
4 daysIntermediate30 modulesAI-103T00
About this course
Develop AI apps and agents on Azure. Over four days you will select, deploy and evaluate models in Microsoft Foundry, build generative AI chat apps that use tools, optimise them with prompt engineering, RAG and fine-tuning, and develop agents with custom and MCP tools, Foundry IQ knowledge and agent-driven workflows.
Curriculum
30 modules
- What is AI?
- Microsoft Foundry
- 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
- Explore with the model playground
- Choose an endpoint and SDK
- Generate responses with the Responses API
- Generate responses with the ChatCompletions API
- What are tools?
- Use the code_interpreter tool
- Use the web_search tool
- Use the file_search tool
- Use the functions tool
- Module assessment
- 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
- Plan a responsible generative AI solution
- Map potential harms
- Measure potential harms
- Mitigate potential harms
- Manage a responsible generative AI solution
- Module assessment
- 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
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Module assessment
- Understand MCP tool discovery
- Integrate agent tools using an MCP server and client
- Use Azure AI agents with MCP servers
- Module assessment
- Understanding RAG for agents
- Explore Foundry IQ
- Configure data sources for knowledge bases
- Configure retrieval with Foundry IQ
- 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
- 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
- Understand Microsoft Agent Framework AI agents
- Create an Azure AI agent with Microsoft Agent Framework
- Add tools to Azure AI agent
- Understand the Microsoft Agent Framework
- Understand agent orchestration
- Use concurrent orchestration
- Use sequential orchestration
- Use group chat orchestration
- Use handoff orchestration
- Use Magentic orchestration
- Define an A2A agent
- Implement an agent executor
- Host an A2A server
- Connect to your A2A agent
- Module assessment
- Azure Language in Microsoft Foundry Tools
- Detect language
- Extract entities
- Extract personally identifiable information (PII)
- Module assessment
- Understand the Azure Language MCP server
- Connect and use the Language MCP server with an agent
- Choose a speech-capable model
- Transcribe speech
- Synthesize speech
- Module assessment
- 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
- Understand the Azure Speech MCP server
- Connect and use the Speech MCP server with an agent
- Explore the Azure Voice Live API
- Explore the AI Voice Live client library for Python
- Create a Voice Live agent
- Module assessment
- Translation in Microsoft Foundry
- Translate text
- Translate speech
- Module assessment
- Use a vision-capable model in the Microsoft Foundry portal
- Develop a vision-based chat app
- Module assessment
- 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
- Deploy a video generating model
- Generate video from a prompt
- Generate video in Python
- Module assessment
- What is Content Understanding?
- Analyze images with Content Understanding
- Module assessment
- What is Azure Content Understanding?
- Create a Content Understanding analyzer
- Use the Content Understanding API
- Module assessment
- Prepare to use the AI Content Understanding API
- Create a Content Understanding analyzer
- Analyze content
- Module assessment
- What is Azure Document Intelligence?
- Use the Document Intelligence Studio
- Use prebuilt models
- Train and use custom models
- Module assessment
- 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
Who it's for
Developers building generative AI on Azure.
Before you start
No formal prerequisites. Bring curiosity and a willingness to practise.
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