Udemy

RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more)

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  • 2,827 Students
  • Updated 2/2026
4.6
(261 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 25 Minute(s)
Language
English
Taught by
Kuljot Singh Bakshi
Rating
4.6
(261 Ratings)

Course Overview

RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more)

Work with Azure AI Search, CosmosDB, Neo4js, Azure OpenAI and Content Understanding with Multi-Modal RAG

Unlock the power of Retrieval-Augmented Generation (RAG) with Azure OpenAI in this comprehensive Udemy course, designed for data professionals and AI enthusiasts eager to deepen their expertise in advanced AI techniques. This course provides hands-on insights into integrating RAG with various Azure services, enabling you to enhance knowledge retrieval within AI solutions.

Learning Objectives:

  • Master RAG with Azure AI Search:
    Learn how to enhance search capabilities and retrieve relevant data effectively within Azure’s robust AI Search environment.

  • Implement RAG with Azure CosmosDB:
    Discover methods to store, manage, and query large datasets, optimizing information retrieval for high-performance applications.

  • Leverage RAG in Azure AI Studio:
    Utilize RAG within Azure AI Studio to develop custom solutions in a powerful development environment with enhanced flexibility.

  • Develop with RAG on Microsoft Copilot Studio:
    Gain skills to create intelligent applications using Microsoft Copilot Studio, making user interactions more engaging and insightful.

  • Navigate Graph RAG with Neo4j:
    Understand graph-based data storage and retrieval, allowing you to analyze complex relationships within data through Neo4j.

This course is packed with real-world applications, practical demonstrations, and code walkthroughs, equipping you with the knowledge to implement RAG across various Azure platforms and elevate your AI projects. Join now to gain in-demand skills and take your AI capabilities to the next level with RAG and Azure OpenAI!

Course Content

  • 14 section(s)
  • 64 lecture(s)
  • Section 1 Introduction
  • Section 2 GenAI Primer
  • Section 3 Introduction to RAG
  • Section 4 Azure OpenAI Basics
  • Section 5 Prompt Engineering
  • Section 6 RAG With Azure AI Search
  • Section 7 Multi-Modal RAG With Azure AI Search
  • Section 8 Azure AI Content Understanding
  • Section 9 RAG with Azure CosmosDB
  • Section 10 Azure Icon Search Engine Project: Power of Azure CosmosDB
  • Section 11 RAG with Azure AI Studio
  • Section 12 RAG with Azure Document Intelligence in Azure AI Studio
  • Section 13 RAG with Microsoft Copilot Studio
  • Section 14 GraphRAG with Neo4js

What You’ll Learn

  • RAG (Retrieval Augmented Generation): Using Private Data with LLM, RAG with Azure AI Search, RAG with Azure CosmosDB, RAG with Azure OpenAI Studio, RAG with Azure AI Studio, RAG with Microsoft Copilot Studio, GraphRAG with Neo4j and Azure OpenAI

Skills covered in this course


Reviews

  • S
    Sridhara Shastry
    5.0

    Very good. Initially, it was tough to follow, but later as the concepts gotten clear, it is much easy to follow. Only issue noticed is for some places, some implementation were already done but not shown in the recordings. This may confuse the learner.

  • S
    Sagar Lokare
    1.0

    the pain points not covered with great detail ,what about solutions in practical should have been covered

  • U
    Upkar Singh
    5.0

    Comprehensive coverage of modules with most key aspects of RAG development included. An excellent introductory course for beginners to learn RAG.

  • J
    Juan Diego Calderon Garzon
    5.0

    Excellent! Very specific and functional.

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