Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to interact with your users.
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Course Outline
1. Plan and prepare to develop AI solutions on Azure
• What is AI?
• Microsoft Foundry
• Foundry Tools
• Developer tools and SDKs
• Responsible AI
2. Select, deploy, and evaluate Microsoft Foundry models
• Explore the model catalog
• Select models using benchmarks
• Deploy models to endpoints
• Evaluate model performance
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
4. Develop 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 function tool
5. Optimize 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
6. Implement 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
Course Details
• Familiarity with fundamental AI concepts and services in Azure.
• Programming experience.
Microsoft Learn does not explicitly list a target audience for this learning path.
For online (live) format
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