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Learner Reviews & Feedback for AI Agents in LangGraph by DeepLearning.AI

4.7
stars
157 ratings

About the Course

LangChain, a popular open source framework for building LLM applications, recently introduced LangGraph. This extension allows developers to
create highly controllable agents. In this course you will learn to build an agent from scratch using Python and an LLM, and then you will rebuild
it using LangGraph, learning about its components and how to combine them to build flow-based applications. Additionally, you will learn about
agentic search, which returns multiple answers in an agent-friendly format, enhancing the agent’s built-in knowledge. This course will show you
how to use agentic search in your applications to provide better data for agents to enhance their output. In detail: 1. Build a...
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Top reviews

JM

May 7, 2025

Very informative project on LangGraph and getting started with AI Agents. Inspired a lot of great ideas and look forward to building AI Agents with LangChain and LangGraph.

NN

Jan 31, 2025

Great, spot-on content! This was a quick and easy-to-understand mini project that provides a solid overview of the world of agents and their possible implementations.

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26 - 30 of 30 Reviews for AI Agents in LangGraph

By Svante K

•

Nov 7, 2024

Great course! Code needs to be updated to latest version though.

By Eliseo B F

•

Oct 16, 2024

a short course that shows the utility of LangGraph

By Tianpei X

•

Apr 5, 2025

some examples do not work

By ashish S

•

Feb 15, 2025

Very Good

By Jim H

•

Nov 12, 2024

PRESENTERS WERE SUBSTANDARD AND WAS UNABLE TO ACCESS THE QUIZS