MK
5.0Reviewed Jan 4, 2026
It was quite informative with clear explanation of the concept
AI Agents in LangGraph
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 an agent from scratch, and understand the division of tasks between the LLM and the code around the LLM. 2. Implement the agent you built using LangGraph. 3. Learn how agentic search retrieves multiple answers in a predictable format, unlike traditional search engines that return links. 4. Implement persistence in agents, enabling state management across multiple threads, conversation switching, and the ability to reload previous states. 5. Incorporate human-in-the-loop into agent systems. 6. Develop an agent for essay writing, replicating the workflow of a researcher working on this task. Start building more controllable agents using LangGraph!
Status: Generative AI Agents
Status: AI Workflows
IntermediateProject2 hours
Featured reviews
TR
5.0Reviewed Aug 6, 2025
Very engaging learning experience. A lot of content, it took me 3hrs to finish watching all these. Still I'll have to revisit.
SJ
5.0Reviewed Jun 26, 2025
I easily and fully understood LangGraph and AI Agents with the lecture and the source code. This course is awesome!!!
NN
5.0Reviewed Jan 30, 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.
NS
5.0Reviewed May 28, 2025
I congratulate and thank you for conducting the course through direct practical work.
EW
5.0Reviewed Sep 18, 2024
very interesting and inspiring work, also solidify my knowledge of llms.
JM
5.0Reviewed May 6, 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.
RY
5.0Reviewed Apr 29, 2026
LangGraph lets you build structured, stateful AI agents using graphs instead of linear flows great for complex, multi-step or multi-agent workflows, but overkill for simple bots.
CR
5.0Reviewed Oct 1, 2025
Very nice. However please check the Agentic Search. Is it really agentic search, it appeared to search using tavily search only
KH
5.0Reviewed Apr 1, 2026
Excellent course! Here's my perspective, "LangChain is your bucket of Lego bricks. LangGraph is the spaceship you build that actually flies itself."
AN
5.0Reviewed Nov 11, 2024
Great project! It provides a good starting point in the world of Agents with LangGraph. Now, I am eager to learn more and to implement my own agentic workflows.