Module1: Plan and prepare to develop AI solutions on Azure

• • What is AI?
• • Azure AI services
• • Azure AI Foundry
• • Developer tools and SDKs
• • Responsible AI
• • Exercise - Prepare for an AI development project

Module 2: Choose and deploy models from the model catalog in Azure AI Foundry portalExplore the model catalog

• • Deploy a model to an endpoint
• • Optimize model performance
• • Exercise - Explore, deploy, and chat with language models

Module 3 : Develop an AI app with the Azure AI Foundry SDK

• • What is the Azure AI Foundry SDK?
• • Work with project connections
• • Create a chat client
• • Exercise - Create a generative AI chat app

Module 4 : Get started with prompt flow to develop language model apps in the Azure AI FoundryUnderstand 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
• • Exercise - Get started with prompt flow

Module 5: Develop a RAG-based solution with your own data using Azure AI FoundryUnderstand how to ground your
language model

• • Make your data searchable
• • Create a RAG-based client application
• • Implement RAG in a prompt flow
• • Exercise - Create a generative AI app that uses your own data

Module 6: Fine-tune a language model with Azure AI FoundryUnderstand when to fine-tune a language model

• • Prepare your data to fine-tune a chat completion model
• • Explore fine-tuning language models in Azure AI Foundry portal
• • Exercise - Fine-tune a language model

Module 7: Implement a responsible generative AI solution in Azure AI Foundry

• • Plan a responsible generative AI solution
• • Map potential harms
• • Measure potential harms
• • Mitigate potential harms
• • Manage a responsible generative AI solution
• • Exercise - Apply content filters to prevent the output of harmful content

Module 8: Evaluate generative AI performance in Azure AI Foundry portal

• • Assess the model performance
• • Manually evaluate the performance of a model
• • Automated evaluations
• • Exercise - Evaluate generative AI model performance