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.

You can easily and quickly accumulate concepts!

Showing the scenes of debugging and modifying the model throughout the process was very helpful. Thank you for the informative lecture.

The explanation is clean and informative.