AI-3016: Develop generative AI apps in Azure AI Duration: 1 Day

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

• Introduction
• 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
• Exercise - Get started with prompt flow
• Module assessment
• Summary

• Introduction
• Understand 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 assessment
• Summary

Module 6: Fine-tune a language model with Azure AI Foundry

• Introduction
• Understand 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 assessment
• Summary

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

• Introduction
• 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 assessment
• Summary

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

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