Excellent content - well delivered in multiple forms : videos, readings, labs, exercises , which is very helpful in reinforcing the concepts as well as bringing practical confidence.

Good, Make it a little more clear on teaching the code and specific functions for agentic systems

Agentic AI with LangChain and LangGraph is a well-structured and insightful course that effectively introduces the transition from traditional LLM applications to advanced agent-based systems. It clearly explains key concepts such as agentic workflows, multi-agent collaboration, and Retrieval-Augmented Generation (RAG), while emphasizing practical implementation using LangGraph. The course stands out for its focus on building scalable, stateful AI systems with strong attention to real-world use cases and responsible AI practices, including guardrails and failsafes. Overall, it is a valuable resource for professionals seeking to develop robust, production-ready agentic AI solutions.

Great overview and the insight into the coding aspects was invaluable!

It's well structured, giving all insights of expected training.

Great Learning journey, especially in LangGraph

Great course with intro to agent & Muti agent.

Excellent, concepts are clearly explained.

the best agentic ai course in Coursera

very nice course. highly recommended

LangGraph so clearly thanks

Good course on agentic AI

excellent course

Great, complete

excellent

good

NA

I really enjoyed the Agentic AI with LangChain and LangGraph course — the explanations were clear, and the concepts were well-structured throughout. It provided a solid foundation for understanding how to build agentic systems using LangChain and LangGraph. However, I was a bit disappointed with the final lab. While it showcased a complex multi-agent system, it didn’t require the learner to write any code, which felt like a missed opportunity. Instead, it would have been more valuable to include a hands-on lab where learners could build a simple multi-agent system from scratch. This would help reinforce the concepts and demonstrate how to properly organize files and structure such a project in a real-world scenario. A more code-oriented, beginner-friendly lab would make the learning experience more engaging and practical.

Very good course. At some steps the explanation was very brief. I had to further research myself to understand. Also the lab instructions were not very clear. For some lab assignments, we can do it in 1 line or whole series of code. It would have been nice if this was clearly stated. For some do it task, is there assignment soln available (for 1 lab). Overall i will rate it at 4.5/5 Thanks a lot

Gain good knowledge of concepts required to build Agentic AI system.

good but good sometimes not good

when someone's write text on a presentation , please do not write sloppy . it does not look "cool", it looks unprofessional

Good intro into the landscape. Labs could benefit from redesign/rethinking. Underkill for intermediate and up folks

heavy content rich

This course isnt up to the mark. The videos are just linear and the speakers robotic voice makes it difficults for the understand. Overall its not a good crafted course, though the lab assignments were good. I will give a below average rating for this.