Develop generative AI apps in Azure

  • Learning Path
  • 5 Modules

At a glance

Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to interact with your users.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also have programming experience.

Modules in this learning path

Plan and prepare to develop AI solutions on Azure

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.

Select, deploy, and evaluate models from the catalog in Microsoft Foundry portal

Explore how to select appropriate models from the model catalog using benchmarks, deploy them to endpoints, and evaluate their performance using manual and automated approaches in Microsoft Foundry portal.

Develop an AI app with the Microsoft Foundry SDK

Use the Microsoft Foundry SDK to develop AI applications with projects and the Responses API.

Optimize generative AI model performance with Microsoft Foundry

Explore complementary strategies to optimize generative AI model performance. Learn how to apply prompt engineering, ground your model with RAG, and fine-tune for consistent behavior—and when to combine these approaches.

Implement a responsible generative AI solution in Microsoft Foundry

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Start