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Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP

Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP

(4.8) 30 reviews

443 learners

  • altoformula
이론 실습 모두
llm
프롬프트엔지니어링
NLP
실리콘밸리
LLM
LangChain
prompt engineering
openai

Reviews from Early Learners

What you will learn!

  • LLM

  • LangChain

  • OpenAI

  • Model Context Protocol(MCP)

  • LangSmith

  • LangGraph


With LangChain lectures
Make cutting-edge natural language processing technology your own!

Gain the core skills the market demands and take your career to the next level.
We hope this course will help you take the first step toward becoming a competitive expert in the fields of AI and NLP!

#NLP, #openai, #promptengineering, #LLM, #LangChain


If you are like this
Start right now
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Apply for LLM
Those who want to make

A little more about OpenAI technology
For those who want to handle it in a sophisticated way

NLP related projects
For those who want to process more efficiently

Why Learn LangChain?

  1. Understanding innovative technologies
    Langchain is a tool that makes cutting-edge natural language processing (NLP) technologies easily accessible and usable . This course will teach you the fundamental principles and applications of this innovative technology.


  2. Acquire practical skills
    The course provides not only theoretical knowledge but also practical skills. From installing and using Langchain to performing complex NLP tasks, you'll acquire practical, real-world skills.

  3. Expand your career opportunities
    NLP is one of the fastest-growing fields in machine learning, data science, and artificial intelligence. This course will help you develop the competitive skills needed in this field, which will greatly benefit your career .

  4. Projects and Research and Development
    This course provides practical guidance on how to develop real-world projects and research using Langchain. This course will provide you with the opportunity to launch your own project or contribute to the development of an existing one, leveraging your LLM.

  5. Community and Networking
    By taking this course , you will have the opportunity to network with other students who share similar interests . This community will help you share knowledge and experiences and create opportunities for collaboration.

Lecture Features

Easy to understand, no complex concepts required! We explain why each Key Component is necessary through analogies and examples.

Theory and practice all in one!
It is packed with information from LangChain theory to project practice.

Learning with Q&A! If you have any questions or difficulties during the lecture, feel free to ask questions at any time.

What you'll learn 📚

  • All lecture materials are in English . The lectures themselves are conducted in Korean and are designed to facilitate future overseas employment .

  • We provide PDF lecture materials (refer to each video learning material) and Github code.

Introduction to LangChain

Analysis of LLM theses

Commentary based on official data

Examples of practical aspects

Expected Questions Q&A 💬

Q. Why should I learn LangChain?

By learning LangChain, you can master cutting-edge natural language processing technologies, enabling you to implement innovative solutions in fields such as data analysis, AI development, and automated decision-making. Furthermore, by leveraging LangChain's advanced features, you can more effectively process complex language data and develop practical applications based on it.

Q. Is this a course that non-majors can also take?

Yes, this LangChain course is fully accessible to non-majors . The course structure begins with an explanation of basic concepts and gradually progresses to more complex topics, making it easy to follow even for those without prior computer science or programming knowledge. Furthermore, the course includes hands-on exercises and examples, providing hands-on learning opportunities for LangChain users . This helps non-majors learn through practical application, even if the technical concepts are difficult to grasp.

Things to note before taking the course 📢

Player knowledge and precautions

  • Since this is not a course about coding, you can take this course without any prior knowledge, but it will be helpful if you have an understanding of basic Python grammar and basic software systems .


  • If you have any questions during the class, please feel free to leave them. However, since I'm located in the western United States, it may take some time for me to respond.

  • Since Langchain's lectures focus on the OpenAI API, I also recommend taking the OpenAI API lecture.

OpenAI API (ChatGPT) with Silicon Valley Engineers

Shape the future with the OpenAI API! OpenAI is a leader in artificial intelligence, consistently delivering cutting-edge technology. The OpenAI API, powered by GPT-4, enables human-like conversations, demonstrating remarkable capabilities applicable to a wide range of fields.

Recommended for
these people

Who is this course right for?

  • Those who want to build applications with LLM

  • Wanting to refine OpenAI tech handling.

  • For those who want to handle NLP-related projects more efficiently

Need to know before starting?

  • Python Basic Syntax

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Learners

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Reviews

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Answers

4.8

Rating

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Curriculum

All

57 lectures ∙ (6hr 42min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

30 reviews

4.8

30 reviews

  • 신철희님의 프로필 이미지
    신철희

    Reviews 14

    Average Rating 5.0

    5

    100% enrolled

    랭체인에 대한 이론을 빠르게 배울 수 있어서 좋았습니다. 각 기술에 대한 예제코드도 제공되서 연습해보기 좋았습니다. streamlit이나 gradio 같은 것을 이용해 웹앱을 만들어보는 실습이 있으면 더 좋았을 것 같다는 생각을 해봤습니다. 좋은 강의를 만들어주신 미쿡엔지니어님 감사합니다. 짝짝짝.

    • 미쿡엔지니어
      Instructor

      안녕하세요 신철희님, 정말 좋은 리뷰 감사합니다. 저도 Streamlit으로 만들 생각을 해봤는데, LangServe가 너무 잘 되어있어서 만들지 않았는데, 한번 고려해 보겠습니다. 감사합니다!

  • 이대광님의 프로필 이미지
    이대광

    Reviews 4

    Average Rating 5.0

    5

    32% enrolled

    • 안녕하세요 이대광님, 시간내서 좋은 점수 주셔서 감사합니다.

  • hjcho님의 프로필 이미지
    hjcho

    Reviews 1

    Average Rating 5.0

    5

    32% enrolled

    • 안녕하세요 hjcho님, 시간내서 좋은 리뷰 남겨주셔서 감사합니다.

  • 박재형님의 프로필 이미지
    박재형

    Reviews 1

    Average Rating 5.0

    5

    32% enrolled

    • 안녕하세요 박재형님, 시간내서 좋은 리뷰 남겨주셔서 감사합니다!

  • soonhankwon님의 프로필 이미지
    soonhankwon

    Reviews 8

    Average Rating 5.0

    5

    61% enrolled

    • 안녕하세요 soonhankwon님, 시간내서 좋은 평가해 주셔서 감사합니다.

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