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AI

Developing a Multimodal RAG Solution

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01 Lab

This track consists of a single lab module designed to be completed within a 1-hour session. Once the lab is launched, the environment will be provisioned within approximately 5 minutes, and the session timer will start. Each participant is allowed up to 2 attempts within 30 days of voucher redemption. After 30 days, the ability to initiate the lab will be automatically revoked from the CloudLabs portal.

About Course

In this hands-on lab, you will build and automate a Retrieval-Augmented Generation (RAG) solution, working with real-world data to create smarter, more context-aware applications. Designed for developers, data professionals, and AI practitioners, this lab enables you to integrate AI models with enterprise data using techniques like text embeddings and generative reasoning. With this experience, you will be prepared to build intelligent systems that enhance search, streamline decision-making, and solve business problems more effectively. By the end of this lab, you will have the skills to design AI-powered solutions that combine relevance with real-time insights.

Hands-on Labs Covered

  • Set Up AI Services: Provision AI services such as Azure AI Search, Azure OpenAI
  • Ingest Datasets: Collect and Ingest datasets to OpenAI models resource.
  • Indexing: Check the creation of vector indexes in Azure AI Search.
  • Work with Azure AI Foundry Portal, and try out the data with Chat Playground.

Audience

  • AI Engineers
  • Data Analysts

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