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.