Plan and Prepare to Develop AI Solutions on Azure
- Understand core AI concepts
- Explore Microsoft Foundry and available tools
- Identify developer tools and SDKs
- Apply responsible AI principles
- Prepare for an AI development project
Select, Deploy, and Evaluate Microsoft Foundry Models
- Explore the model catalog
- Select models using benchmarks
- Deploy models to endpoints
- Evaluate model performance
Develop a Generative AI Chat App with Microsoft Foundry
- Explore models using the playground
- Choose endpoints and SDKs
- Generate responses with APIs
- Build chat applications
Develop Generative AI Apps that Use Tools
- Understand tools and their purpose
- Use code interpreter, web search, and file search
- Implement function-based tools
- Build tool-enabled chat apps
Optimise Generative AI Model Performance
- Apply prompt engineering
- Use Retrieval Augmented Generation (RAG)
- Fine-tune models
- Compare optimisation strategies
Implement a Responsible Generative AI Solution
- Plan responsible AI solutions
- Identify and measure risks
- Mitigate harmful outputs
- Apply guardrails and governance
Develop AI Agents with Microsoft Foundry and Visual Studio Code
- Understand AI agents and Microsoft Foundry Agent Service
- Explore development approaches for agent-based solutions
- Build and configure agents in Microsoft Foundry
- Set up and use Visual Studio Code for agent development
- Extend agent capabilities with tools
- Test, deploy, and integrate agents into applications
Integrate Custom Tools into Your Agent
- Understand when and why to use custom tools
- Explore implementation options for custom tools
- Integrate custom tools into agent workflows
- Extend agent functionality beyond built-in capabilities
Integrate MCP Tools with Azure AI Agents
- Understand MCP tool discovery
- Connect agents to MCP servers
- Enable dynamic tool usage within agent workflows
Build Knowledge-Enhanced AI Agents with Foundry IQ
- Apply Retrieval Augmented Generation (RAG) for agents
- Use Foundry IQ for shared knowledge access
- Configure data sources for knowledge bases
- Optimise retrieval and response quality
Integrate Your Agent with Microsoft 365
- Publish agents to Microsoft Teams and Microsoft 365 Copilot
- Use Microsoft 365 Agents Toolkit
- Access and utilise Microsoft 365 data with Work IQ
- Test and refine integrated agent solutions
Build Agent-Driven Workflows Using Microsoft Foundry
- Understand workflow concepts and patterns
- Create and manage workflows in Microsoft Foundry
- Integrate agents into workflows
- Use Power Fx within workflows
- Maintain and extend workflow-based solutions
Develop an AI Agent with Microsoft Agent Framework
- Understand the Microsoft Agent Framework
- Build agents using the SDK
- Add tools and extend agent capabilities
Orchestrate a Multi-Agent Solution Using Microsoft Agent Framework
- Understand multi-agent architectures
- Implement orchestration patterns (concurrent, sequential, group, handoff)
- Enable collaboration between agents
Discover Azure AI Agents with A2A
- Understand the A2A (agent-to-agent) protocol
- Implement agent discovery and communication
- Build distributed agent solutions
Analyse Text with Azure Language in Foundry Tools
- Use Azure Language capabilities in Microsoft Foundry
- Detect language in text inputs
- Extract entities and key information
- Identify and redact personally identifiable information (PII)
Develop a Text Analysis Agent with the Azure Language MCP Server
- Understand the Azure Language MCP server
- Connect MCP services to AI agents
- Build agents for text analysis tasks such as language detection and entity recognition
Develop a Speech-Capable Generative AI Application
- Choose speech-capable AI models
- Transcribe speech to text
- Synthesise speech from text
- Build applications with voice interaction capabilities
Create Speech-Enabled Apps with Azure Speech in Microsoft Foundry Tools
- Use Speech-to-Text and Text-to-Speech APIs
- Configure audio formats and voice options
- Implement Speech Synthesis Markup Language (SSML)
- Build applications with speech recognition and synthesis
Develop a Speech Agent with the Azure Speech MCP Server
- Understand the Azure Speech MCP server
- Integrate speech capabilities into AI agents
- Build agents for speech-to-text and text-to-speech tasks
Develop an Azure Speech Voice Live Agent in Microsoft Foundry
- Use the Azure Voice Live API and SDK
- Build real-time conversational voice agents
- Integrate voice capabilities into AI applications
Translate Text and Speech with Microsoft Foundry Tools
- Use translation services in Microsoft Foundry
- Translate text between languages
- Translate speech in real time
- Build multilingual AI applications
Develop a Vision-Enabled Generative AI Application
- Use vision-capable models in Microsoft Foundry
- Build chat applications that respond to visual inputs
- Develop and test vision-enabled AI solutions
Generate Images with AI
- Understand image generation models
- Explore image generation in Microsoft Foundry
- Build applications that generate images from natural language prompts
Generate Videos with Microsoft Foundry
- Deploy video generation models
- Generate videos from text prompts
- Build applications using video generation APIs and SDKs
Analyse Images with Content Understanding
- Understand Azure Content Understanding capabilities
- Analyse images to extract insights and meaning
- Build solutions for image analysis
Create a Multimodal Analysis Solution with Azure Content Understanding
- Use Azure Content Understanding for multimodal data analysis
- Create and configure content analysers
- Extract and process information from multiple data types
Create an Azure Content Understanding Client Application
- Prepare and use Content Understanding APIs
- Build client applications for content analysis
- Process and analyse multimodal content programmatically
Extract Data with Azure Document Intelligence
- Understand document processing and OCR capabilities
- Use prebuilt models for data extraction
- Train and implement custom models
- Extract structured data from forms and documents
Create a Knowledge Mining Solution with Azure AI Search
- Understand Azure AI Search capabilities
- Extract and index data using indexers
- Enrich data with AI skills
- Query and search indexed data
- Persist and manage knowledge stores
