Advanced RAG with Vector Databases and Retrievers
IBM · View on Coursera ↗
Taught by Wojciech 'Victor' Fulmyk, IBM Skills Network Team
Computer ScienceData Science
About the course
Ready to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases such as FAISS and Chroma DB. You'll gain the cutting-edge skills businesses need to design and build scalable, high-performance RAG applications that drive smarter search and response capabilities. During the course, you'll learn how to differentia
The dissent
The most-upvoted critical review (no upvotes, 2.0★).
“I would say the course and especially the readings and questions are mainly AI generated. The topics are clearly layed out, but the questions are just randomly associated with those topics and do not contribute to any understanding.”
Coursera's 4.7 comes from 78 ratings. Of those, 3.8% 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 ↗