AI Agents in LangGraph
DeepLearning.AI · View on Coursera ↗
Taught by Harrison Chase, Rotem Weiss
Computer Science
About the course
LangChain, a popular open source framework for building LLM applications, recently introduced LangGraph. This extension allows developers to create highly ...
The consensus
Every one of the 20 reviews we read gave it 4★ or more. This is the most-upvoted one (2 votes).
“It was a really enlightening course. Well-done, progressive, and with content that will certainly be really useful for deepening the topic of Agents and developing applications. The only downside – not trivial – for which I did not give 5 stars, is that the libraries are outdated and with many incompatibilities. While it's possible to create a virtual environment with the current state of the art, the problem lies in replicating what was learned in a new project with updated libraries. That requires reprogramming a large part of the code. I spent a large part of the time finding solutions to rewrite and update the code. Very heavy and time-consuming ... but overall, I would do it again.”
Coursera's 4.7 comes from 334 ratings. Of those, 0.9% 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 ↗