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Back to Build RAG Applications: Get Started

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

4.6
stars
36 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鈥檒l begin by exploring RAG fundamentals鈥攍earning how RAG enhances information retrieval and user interactions鈥攂efore building your first RAG pipeline. Next, you鈥檒l 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鈥檒l learn about LlamaIndex, a popular framework for building RAG applications. Moreover, you鈥檒l compare LlamaIndex with LangChain and develop a RAG application using LlamaIndex. Throughout this course, you鈥檒l 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 - 8 of 8 Reviews for Build RAG Applications: Get Started

By veluri n

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Aug 31, 2025

The course is awesome!. I got clear understanding of RAG and LlamaIndex

By Ana A B

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Jul 24, 2025

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

By prateek k g

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Sep 4, 2025

excellent content and hands on excercise

By Emanuele P

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Jul 24, 2025

finito il corso

By Miguel M

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Sep 22, 2025

Hola, el curso es muy bueno y los contenidos muy valiosos. Los laboratorios, personalmente los prefiero en Jupyter, pero parte del aprendizaje es ser flexible. Muchisimas gracias, Miguel.

By RANJEET K R

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Aug 25, 2025

Despite being well structured course material and passing relevant experinece, the code showcased, the libraries used are outdated.

By Laxman G

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Apr 29, 2025

The comparison of LangChain and LlamaIndex brings clarity.

By OM S

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Sep 21, 2025

WORST TEACHINGS HERE, NOT PROPERLY TAUGHT. EXPECTED MUCH BETTER .... I WANTED TO DOWNLOAD ALL THE PDF AND PPT SLIDES SHOWN IN THE VIDEOS. FOR SOME REASON I DONT FIND ANY ??? REALLY WORST TEACHERS HERE , THEY DONT PROVIDE PDF FILES FOR THE PRESENTATION. I WILL NOT RECOMMEND THIS COURSE TO ANYONE