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Learner Reviews & Feedback for Build RAG Applications: Get Started by IBM

4.6
stars
29 ratings

About the Course

Data Scientists, AI Researchers, Robotics Engineers, and others who can use Retrieval-Augmented Generation (RAG) can expect to earn entry-level salaries ranging from USD 93,386 to USD 110,720 annually, with highly experienced AI engineers earning as much as USD 172,468 annually (Source: ZipRecruiter). In this beginner-friendly short course, you’ll begin by exploring RAG fundamentals—learning how RAG enhances information retrieval and user interactions—before building your first RAG pipeline. Next, you’ll discover how to create user-friendly Generative AI applications using Python and Gradio, gaining experience with moving from project planning to constructing a QA bot that can answer questions using information contained in source documents. Finally, you’ll learn about LlamaIndex, a popular framework for building RAG applications. Moreover, you’ll compare LlamaIndex with LangChain and develop a RAG application using LlamaIndex. Throughout this course, you’ll engage in interactive hands-on labs and leverage multiple LLMs, gaining the skills needed to design, implement, and deploy AI-driven solutions that deliver meaningful, context-aware user experiences. Enroll now to gain valuable RAG skills!...

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1 - 3 of 3 Reviews for Build RAG Applications: Get Started

By Ana A B

Jul 23, 2025

This is an excellent course in which I learned about RAG.

By Emanuele P

Jul 23, 2025

finito il corso

By Laxman G

Apr 29, 2025

The comparison of LangChain and LlamaIndex brings clarity.