Azure Open AI

Developing a Custom RAG App Using AI Foundry

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03 Labs

This track consists of 3 labs, designed to be completed in a single session without interruption. Once you launch the track, you'll have a total of 4 hours to complete all the labs. Please note that the track will remain available for 30 days after you redeem the voucher code. You’ll get two attempts to complete all the labs during this period. All labs, regardless of whether they have been provisioned, launched, or not, will be permanently deleted from the CloudLabs portal after 30 days. Please plan your activities accordingly.

Sujnan Patil

About Course

In this hands-on lab, you will learn how to build a custom Retrieval-Augmented Generation (RAG) application using the Azure AI Foundry SDK. You will begin by setting up the required Azure resources and configuring the AI Foundry environment. Then, you will implement an RAG pipeline that indexes and retrieves relevant data to enhance AI-generated responses. Finally, you will evaluate and optimize the system’s performance by measuring retrieval accuracy, response quality, and efficiency. By the end of the session, you will have a functional RAG solution that integrates Azure AI capabilities for enhanced knowledge retrieval and response generation.