Ready to build intelligent AI agents that can reason, improve, and collaborate? This hands-on course gives you the skills to build agentic AI systems using LangChain and LangGraph in just 3 weeks.
You’ll design stateful workflows that support memory, iteration, and conditional logic. You’ll explore how to build self-improving agents using Reflection, Reflexion, and ReAct architectures, empowering your agents to reason about their outputs and refine them over time. Plus, you’ll work on guided labs where you’ll structure agent feedback, integrate external data, and generate context-aware responses through step-by-step reasoning. You’ll then develop collaborative multi-agent systems that coordinate tasks, retrieve relevant data, and solve complex problems using agentic RAG. Plus, you'll gain experience in agent orchestration, query routing, and governance strategies for building robust, scalable AI applications. By the end of the course, you’ll have built working prototypes of agentic systems and gained hands-on skills to design reliable, adaptable agents. Enroll today and get ready to power up your portfolio!
TS
Great course with intro to agent & Muti agent.
HD
It's well structured, giving all insights of expected training.
OH
Great overview and the insight into the coding aspects was invaluable!
JJ
Good, Make it a little more clear on teaching the code and specific functions for agentic systems
显示：20/24
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
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
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