Course Outline

1 - Plan and prepare to develop AI solutions on Azure
• What is AI?
• Foundry Tools
• Microsoft Foundry
• Developer tools and SDKs
• Responsible AI
• Module assessment
2 - Choose and deploy models from the model catalog in Microsoft Foundry portal
• Explore the model catalog
• Deploy a model to an endpoint
• Optimize model performance
• Module assessment
3 - Develop an AI app with the Microsoft Foundry SDK
• What is the Microsoft Foundry SDK?
• Work with project connections
• Create a chat client
• Module assessment
4 - Get started with prompt flow to develop language model apps in the Microsoft Foundry
• Understand the development lifecycle of a large language model (LLM) app
• Understand core components and explore flow types
• Explore connections and runtimes
• Explore variants and monitoring options
• Module assessment
5 - Develop a RAG-based solution with your own data using Microsoft Foundry
• Understand how to ground your language model
• Make your data searchable
• Create a RAG-based client application
• Implement RAG in a prompt flow
• Module assessment

6 - Fine-tune a language model with Microsoft Foundry
• Understand when to fine-tune a language model
• Prepare your data to fine-tune a chat completion model
• Explore fine-tuning language models in Microsoft Foundry portal
• Module assessment
7 - 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
• Module assessment
8 - Evaluate generative AI performance in Microsoft Foundry portal
• Assess the model performance
• Manually evaluate the performance of a model
• Automated evaluations
• Module assessment

Further information

If you would like to know more about this course please contact us