Develop generative AI apps in Azure (AI-3016)

AI Engineers, Data Scientists, students having knowledge in AI and willing to create custom copilots with Azure AI.

Students will learn:

• Plan and prepare to develop AI solutions on AzureChoose and deploy models from the model catalog in Azure AI Foundry portalDevelop an AI app with the Azure AI Foundry SDK
• Get started with prompt flow to develop language model apps in the Azure AI foundry
• Develop a RAG-based solution with your own data using Azure AI FoundryFine-tune a language model with Azure AI FoundryImplement a responsible generative AI solution in Azure AI FoundryEvaluate generative AI performance in Azure AI Foundry portal
  

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