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! Who this course is for: Curious Developers looking to build cool apps with Azure OpenAI and GenAISenior Software Engineers looking for GenAI applicationAny curious person in general looking to skill-up and keep-up with the industry!