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学生对 IBM 提供的 Agentic AI with LangChain and LangGraph 的评价和反馈

4.6
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94 个评分

课程概述

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!...

热门审阅

JJ

Nov 1, 2025

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

OH

Aug 21, 2025

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

筛选依据：

26 - Agentic AI with LangChain and LangGraph 的 27 个评论（共 27 个）

创建者 Roland M

•

Dec 11, 2025

lab in module 3 not working. Videos with people writing on board sub-optimal.

创建者 Zhihan Z

•

Mar 25, 2026

The course content is extremely poor. There’s very little human explanation—almost everything else is AI-generated junk. It feels like they just threw a piece of code into an AI and let it ramble without any real structure or logic. I don’t believe anyone can actually understand the video introducing the reflexion agent. Many parts of the course are also riddled with errors. If the earlier courses were merely shallow and full of repetitive, AI-flavored fluff, this one is an outright disaster—completely incoherent.