Build RAG Applications: Get Started
IBM · View on Coursera ↗
Taught by Wojciech 'Victor' Fulmyk, IBM Skills Network Team
Computer ScienceData Science
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.
The dissent
The most-upvoted critical review (5 votes, 1.0★).
“Well, the labs are faulty and frustrating. I would prefer running them in a local Jupyter notebook. Overall, the course is outdated, and the labs are not functioning. The course material is so short and the provided instructions are not enough compared to the level of the course. I will apply Courseara to get my money back.”
Coursera's 4.5 comes from 181 ratings. Of those, 6.6% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗