LLMs on Azure: Retrieval Augmented Generation with OpenAI & AI Search Service

Microsoft Azure, AI 2025    |    Expert
  • 10 videos | 58m 13s
  • Earns a Badge
Advanced methodologies like Retrieval Augmented Generation (RAG) with the power of AI revolutionize how we approach data retrieval by combining sophisticated search techniques with generative AI to improve context analysis and accuracy. In this course, explore the concept of RAG, how to use retrieval techniques with generative AI, and how RAGs handle vast datasets. Next, learn how to deploy an Azure OpenAI model on Azure AI Foundry, implement an Azure AI Search service, and use these services together to implement RAG. Finally, discover how to set up the right role-based access control for a Python client to work with OpenAI service and Azure AI Search for RAG. After completing this course, you will be able to utilize RAG with OpenAI and the AI Search service.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline retrieval augmented generation (rag) and use azure ai services to enhance response accuracy
    Implement a retrieval augmented generation (rag) setup using azure openai and azure ai search
    Execute an azure ai search setup for region-compatible knowledge base deployment
    Wire up the azure ai search service with openai by assigning roles
  • Create an azure app registration to provide identity for a python app
    Assign roles to the microsoft entra app registration to enable access for the python client
    Implement python code to integrate azure and openai services using azure identity
    Utilize azure cognitive search to generate context-aware responses with openai
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 42s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 56s
    After completing this video, you will be able to outline Retrieval Augmented Generation (RAG) and use Azure AI services to enhance response accuracy. FREE ACCESS
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    3.  Deploying an Azure OpenAI Model on Azure AI Foundry
    4m 57s
    Learn how to implement a Retrieval Augmented Generation (RAG) setup using Azure OpenAI and Azure AI Search. FREE ACCESS
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    4.  Creating an Azure AI Search Service and Indexing Data
    10m 5s
    In this video, find out how to execute an Azure AI Search setup for region-compatible knowledge base deployment. FREE ACCESS
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    5.  Enabling Role-Based Access for Azure Search Service
    5m 8s
    Discover how to wire up the Azure AI Search service with OpenAI by assigning roles. FREE ACCESS
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    6.  Registering an Azure App Identity for Python Integration
    4m 54s
    In this video, you will learn how to create an Azure app registration to provide identity for a Python app. FREE ACCESS
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    7.  Executing Role Assignments for App Registration
    4m 33s
    Discover how to assign roles to the Microsoft Entra app registration to enable access for the Python client. FREE ACCESS
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    8.  Setting Up the OpenAI Python Client for Queries
    8m 4s
    During this video, you will learn how to implement Python code to integrate Azure and OpenAI services using Azure Identity. FREE ACCESS
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    9.  Initializing Search and Generating Contextual Responses
    9m 18s
    Find out how to utilize Azure Cognitive Search to generate context-aware responses with OpenAI. FREE ACCESS
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    10.  Course Summary
    1m 35s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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