TR
Very engaging learning experience. A lot of content, it took me 3hrs to finish watching all these. Still I'll have to revisit.
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!
TR
Very engaging learning experience. A lot of content, it took me 3hrs to finish watching all these. Still I'll have to revisit.
KH
Excellent course! Here's my perspective, "LangChain is your bucket of Lego bricks. LangGraph is the spaceship you build that actually flies itself."
NN
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.
AN
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.
JM
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.
CR
Very nice. However please check the Agentic Search. Is it really agentic search, it appeared to search using tavily search only
MK
It was quite informative with clear explanation of the concept
SJ
I easily and fully understood LangGraph and AI Agents with the lecture and the source code. This course is awesome!!!
NS
I congratulate and thank you for conducting the course through direct practical work.
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It was a really enlightening course. Well-done, progressive, and with content that will certainly be really useful for deepening the topic of Agents and developing applications. The only downside – not trivial – for which I did not give 5 stars, is that the libraries are outdated and with many incompatibilities. While it's possible to create a virtual environment with the current state of the art, the problem lies in replicating what was learned in a new project with updated libraries. That requires reprogramming a large part of the code. I spent a large part of the time finding solutions to rewrite and update the code. Very heavy and time-consuming ... but overall, I would do it again.
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.
I easily and fully understood LangGraph and AI Agents with the lecture and the source code. This course is awesome!!!
As usual pretty fantastic short course on Deep Learning, very grateful! I had errors in the Human in the loop section, no matter how many times I reloaded the page and reran the steps ensuring the kernal was present. Everything else though was great. I was a competitor in NVIDIA's AI Agent Developer Contest and had this been out two weeks ago I would have felt much more confident on employing Graphs vs just Agents. TY very Much, Evan Mendenhall
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.
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.
Excellent course! Here's my perspective, "LangChain is your bucket of Lego bricks. LangGraph is the spaceship you build that actually flies itself."
Very nice. However please check the Agentic Search. Is it really agentic search, it appeared to search using tavily search only
Very engaging learning experience. A lot of content, it took me 3hrs to finish watching all these. Still I'll have to revisit.
I congratulate and thank you for conducting the course through direct practical work.
very interesting and inspiring work, also solidify my knowledge of llms.
It was quite informative with clear explanation of the concept
Great course to understand how agents work using langchain
Excellent content, explanations and hands-on experience
Covers lot of high level information on langgraph
It was a good course to start with .
This was really Awesome Learning
The perfect one! 100% recommend
Very Valuable and insightful !!
Extremely well presented.