LangChain Chat with Your Data
DeepLearning.AI · View on Coursera ↗
Taught by Harrison Chase
Data ScienceComputer Science
About the course
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual ...
The dissent
The most-upvoted critical review (3 votes, 2.0★).
“I'm sure the team put a lot of effort into this course. The course is very useful for providing a glimpse into how the process works with LangChain for building a chatbot with RAG. However, it is not as in-depth as other courses offered by DeepLearning.AI. The complexity of the LangChain API exacerbates the problem. It feels like a lab I took during my college days; I gained a lot of information about how to do it and what it is like, but there was very little information to help me understand the why and what behind it. I had to check every function in the LangChain documentation or source code to understand why it works that way and the meaning of the input parameters, which is really time-consuming. If there were a 9-minute course that quickly introduced what a chain/LCEL and Runnable object is as an optional course, it would have been very helpful and would have made the content easier to understand.”
Coursera's 4.8 comes from 691 ratings. Of those, 1.3% 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 ↗