Overview

Architecting LLM Apps on Azure: RAG, Agents, and Real-World GenAI SolutionsThis course gives you a practical, architecture-focused pathway to master Retrieval-Augmented Generation (RAG) and architect advanced LLM applications on Azure's AI ecosystem. Whether you're a developer, architect, or product manager, this course helps you design, build, and deploy context-aware AI systems that are secure, scalable, and enterprise-ready.RAG ARCHITECTURE AS THE CORE AI PATTERNUnlike general LLM courses, this program is laser-focused on Retrieval-Augmented Generation as a modern architecture pattern. You'll understand:Why RAG is essential to combat hallucinationsHow it grounds responses using enterprise dataHow to integrate Azure services like Azure AI Search, Azure OpenAI, and vector databases into the pipelineFROM CONCEPTS TO PRODUCTION-READY DEPLOYMENTWe begin with the fundamentals of LLMs-what they are good at, where they fail, and how RAG bridges the gap. But this course goes much further.You will learn:Key LLM application architecture concepts on AzureThe differences between LLM apps and RAG solutionsHow to extend LLM apps into agentic architectures by incorporating tools and dynamic data sourcesCHOOSING THE RIGHT AZURE TOOLS: AI FOUNDRY VS. COPILOT STUDIOA major highlight of the course is understanding when and how to use Azure's no-code and low-code tools effectively:Copilot Studio for business-led rapid prototypingAzure AI Foundry for technical teams needing modular, configurable RAG/agent solutionsWe explore when to choose each tool based on business needs, team skills, and deployment requirements.LLM APPLICATIONS ARCHITECTURE ON AZURE - DEEP DIVEWe dive deep into Azure-based reference architectures, including:Basic Azure AI Foundry chat reference architectureBaseline Azure AI Foundry reference within Azure Landing ZoneDetailed breakdown of two practical architectures:Extract and Analyze Call Center DataAutomate PDF Forms ProcessingThese references equip you to reuse, adapt, and design your own LLM solutions with clarity and alignment to enterprise patterns.LAB: BUILD A RAG SOLUTION ON AZURE AI FOUNDRYHands-on learning culminates in an applied lab:Set up an AI Foundry projectDeploy a model and create an intelligent agentUpload documents and build a retrieval layerAdd knowledge and review agent features

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