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

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33 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!...

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1 - Agentic AI with LangChain and LangGraph 的 8 个评论（共 8 个）

创建者 Su K D (

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Jul 13, 2025

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.

创建者 Olivia H

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Aug 22, 2025

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

创建者 Ivy T

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Aug 5, 2025

Great Learning journey, especially in LangGraph

创建者 TH

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Aug 27, 2025

Excellent, concepts are clearly explained.

创建者 Niveditha

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Jul 21, 2025

excellent course

创建者 Airton L j

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Sep 9, 2025

Great, complete

创建者 PARVATH R

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Oct 4, 2025

good

创建者 Chandrashekar R

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Oct 1, 2025

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