AI Agent Development Using LangGraph (feat. MCP)

[Course Structure] - It was great that rather than being textbook-like, it felt like you were passing on know-how for issue resolution experienced in actual work - Although I haven't developed LLM Applications yet, the course was thoroughly reviewed enough that ideas came to mind immediately after watching the lectures - Considering that you can't get everything from one course, following Byungjin's roadmap will eventually build confidence in LLM Application development through the course structure [Teaching Method] - There may be personal preferences, but the explanations really sink in and are understandable, giving you confidence that you can follow along - Even for items that could be easily overlooked, detailed examples helped understand both code and architecture at once - Most importantly, the instructor's pride in working in this field and teaching classes in this area has the effect of boosting students' confidence as well [Overall Assessment] - Using generative AI alone is insufficient, and to strengthen security against internal information being uploaded to external clouds, it's determined that LLM Applications must be developed in-house. I'm confident that completing all the courses in this roadmap will reach a certain level. ^^ - I think I will definitely take any courses that are continuously released. - It would be great if you could also provide offline sessions in addition to Online Classes. Keep fighting! ^^

실습 위주의 훌륭한 강의입니다! LangGraph, MCP, RAG 같은 복잡한 내용을 쉽게 설명해 주셔서 이해하기 쉬웠고, 실무에 바로 적용할 수 있었습니다. 강사님의 설명이 정말 명확하고 유익했어요. 추천드립니다!

Finished the course in just two days, and even got an MCP update!!! Honestly, the tuition fee is too cheap. I wish you'd raise the price so others wouldn't find out, but to help the instructor create more great lectures, there needs to be more students 😊😊 This is a core lecture that picks out only the essential points. If you want to utilize LLM 200%, make sure to take this course, and take it twice.

I often hear that we are in the Agent era and that it is important, but I didn't know the specifics. Through this lecture, I learned how to use Agents in LLM and how to use related Tools to get efficient and more accurate answers. It was very helpful, and I look forward to the follow-up Evaluation lecture. Thank you very much!

I received so much help from the Langchain basics to the RAG lectures, so I also took the LangGraph course. They explain the content that can be used directly in the field with high quality and in a very detailed manner. You mentioned in the lecture that you have plans to publish a book, and I would appreciate it if you could mention it in a community or something when it is published. I am interested in purchasing it.

This is such a beneficial lecture

I was able to learn about AI Agent development encompassing langgraph, langchain, and MCP😊😊 Thank you!

The practical explanations are good.