Udemy RAG Strategy & Execution: Build Enterprise Knowledge Systems (1 Viewer)

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RAG Strategy & Execution: Build Enterprise Knowledge Systems​

Master the strategy, design, and governance of Retrieval-Augmented Generation to transform enterprise knowledge access

In today’s fast-moving, data-rich enterprises, static knowledge systems are no longer enough. Enter Retrieval-Augmented Generation (RAG) — a powerful AI technique that enables organizations to unlock the full value of their internal documents, policies, and processes. In this course, RAG Strategy & Execution: Building Enterprise Knowledge Systems, you’ll learn how to move beyond chatbots and pilots to deploy RAG as enterprise-grade infrastructure.

This course is designed for leaders, strategists, and functional decision-makers who want to understand not just how RAG works, but how to make it work within their organization. You’ll explore the complete lifecycle of a RAG system, from use case prioritization to data sourcing, governance, risk management, and performance measurement. Whether you're a CIO planning for GenAI at scale or a business unit leader solving knowledge bottlenecks, this course will give you the blueprint to lead confidently.

You’ll start by identifying the highest-value RAG use cases across business functions like HR, legal, support, and operations. Then, you’ll learn how to prepare RAG-ready datasets — including strategies for document chunking, metadata tagging, and source control. The course walks you through the design of a modular RAG stack, with comparisons of build vs. buy vs. hybrid architectures. You’ll evaluate popular tools like LangChain, ChromaDB, and Ollama, as well as commercial platforms like Glean, Hebbia, and Chatbase.

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