Develop generative AI apps in Azure (AI-3016) Virtual Classroom Live April 20, 2026

Course Overview

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

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.