강의

N
챌린지

멘토링

로드맵

Inflearn brand logo image
AI Development

/

AI Agent Development

LangChain with TypeScript - LLM & RAG Introduction

TypeScript LangChain Basics: From LLM Essentials to RAG

(5.0) 10 reviews

368 learners

  • ivybae
ai활용
시리즈
LangChain
LLM
prompt engineering
openAI API
Thumbnail

Reviews from Early Learners

What you will learn!

  • Learn concepts you should know when using Large Language Models.

  • Learn key prompt engineering techniques and practice using LangChain through hands-on exercises.

  • Covers developing a simple RAG application and utilizing LangSmith.

  • You can start building an LLM system with TypeScript.

Starting with TypeScript, LangChain, essential concepts for utilizing LLM, and RAG!

This course is an introductory course for those who are learning LangChain for the first time using TypeScript .

  • For those who want to introduce LLM into their services ,

  • Covering LLM, Prompt Engineering , LangChain, RAG, LangSmith , etc.

  • We'll help you get started building your LLM-based system with a simple hands-on exercise .

Anyone with basic programming experience can join and take the first steps toward building an LLM system with TypeScript .


※ [guide]

  • This lecture was created based on a lecture released on the YouTube channel Agent Minsu .

    If you want to see more hands-on videos and in-depth content, subscribe to the channel and don't miss out on new AI and LangChain content!

  • We also run a LinkedIn group , Microsoft AI Agent Korea User Group .

Things to note before taking the class

Practice environment

  • The course was conducted in a macOS environment, but it can be learned in any environment that supports TypeScript development (Windows, Linux, etc.).

  • VSCode

Learning Materials

Recommended for
these people

Who is this course right for?

  • Those who want to introduce LLM into service

  • Those who want to learn introductory concepts and gradually master them through practice

Need to know before starting?

  • Someone with experience using one or more programming languages

Hello
This is

422

Learners

21

Reviews

11

Answers

5.0

Rating

2

Courses

원밀리언라인즈코딩 CEO

수학 강사에서 개발자로 커리어 전환에 성공한 후, 안드로이드 개발자로 근무하던 중에 네이버 커넥트재단 부스트캠프에서 개발 교육을 시작했습니다. 현재는 원밀리언라인즈코딩을 창업하고, 여러 교육기관에서 강의와 멘토링을 하며 개발자를 양성하고 있습니다.

Career as Instructor

  • 네이버 부스트캠프 안드로이드, AI 교육 (2021~현재)

  • YouTube 채널 운영 : 에이전트민수

  • LinkedIn 그룹 운영 : Microsoft AI Agent Korea User Group

  • Azure OpenAI로 ChatGPT와 LLM 시스템 쉽고 빠르게 구축하기(2025, 제이펍) 책 감수

     

  • 모두의연구소 오름캠프 웹프론트엔드 교육

  • 현대자동차 소프티어 부트캠프 안드로이드 교육

  • 우아한테크캠프 안드로이드 교육

  • 원티드 프리온보딩 안드로이드 코스 운영

     

Career as developer

  • 카카오엔터테인먼트

  • ProtoPie

  • NBT

Curriculum

All

13 lectures ∙ (4hr 34min)

Published: 
Last updated: 

Reviews

All

10 reviews

5.0

10 reviews

  • v2rson1385님의 프로필 이미지
    v2rson1385

    Reviews 5

    ∙

    Average Rating 5.0

    5

    31% enrolled

    • hiksyksyksy4011님의 프로필 이미지
      hiksyksyksy4011

      Reviews 5

      ∙

      Average Rating 5.0

      5

      62% enrolled

      • u1r2r38305님의 프로필 이미지
        u1r2r38305

        Reviews 1

        ∙

        Average Rating 5.0

        5

        100% enrolled

        • unco님의 프로필 이미지
          unco

          Reviews 3

          ∙

          Average Rating 4.7

          5

          31% enrolled

          I'm following along while installing the modules. This is a lecture with good explanations~

          • eldaashe8248님의 프로필 이미지
            eldaashe8248

            Reviews 1

            ∙

            Average Rating 5.0

            5

            62% enrolled

            Free

            Similar courses

            Explore other courses in the same field!

            Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain강의 썸네일

            Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain

            aischool

            This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

            중급이상

            중급이상

            LLM, LangChain, ChatGPT

            Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain강의 썸네일

            Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain

            aischool

            LangChain Basics in One Hour강의 썸네일

            LangChain Basics in One Hour

            jasonkang

            This is a basic LangChain lecture that extracts the key points from official documents for the price of a cup of coffee. Get familiar with LangChain grammar before you start developing!

            입문

            입문

            LLM, LangChain, prompt engineering

            LangChain Basics in One Hour강의 썸네일

            LangChain Basics in One Hour

            jasonkang

            [LLM 101] LLM Essential Basics & LLaMA SFT Tuning (feat. ChatApp Poc)강의 썸네일

            [LLM 101] LLM Essential Basics & LLaMA SFT Tuning (feat. ChatApp Poc)

            dreamingbumblebee

            LLM: A pro quickly delivers core content, from essentials to practical tips!

            초급

            초급

            NLP, ChatGPT, LLM

            [LLM 101] LLM Essential Basics & LLaMA SFT Tuning (feat. ChatApp Poc)강의 썸네일

            [LLM 101] LLM Essential Basics & LLaMA SFT Tuning (feat. ChatApp Poc)

            dreamingbumblebee

            Creating an AI Judge with CrewAI and LLM강의 썸네일

            Creating an AI Judge with CrewAI and LLM

            arigaram

            We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

            중급이상

            중급이상

            AI, LLM, AI Agent

            Creating an AI Judge with CrewAI and LLM강의 썸네일

            Creating an AI Judge with CrewAI and LLM

            arigaram

            Let's code with IntelliJ using the Sionic MCP Series 1 Model Context Protocol!강의 썸네일

            Let's code with IntelliJ using the Sionic MCP Series 1 Model Context Protocol!

            sionicai

            This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

            입문

            입문

            IntelliJ IDEA, LLM, AI

            Let's code with IntelliJ using the Sionic MCP Series 1 Model Context Protocol!강의 썸네일

            Let's code with IntelliJ using the Sionic MCP Series 1 Model Context Protocol!

            sionicai

            Building OCR that actually works in real-world scenarios, here's how to do it.강의 썸네일

            Building OCR that actually works in real-world scenarios, here's how to do it.

            nexthumans

            If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

            초급

            초급

            Python, AI, openai

            Building OCR that actually works in real-world scenarios, here's how to do it.강의 썸네일

            Building OCR that actually works in real-world scenarios, here's how to do it.

            nexthumans

            Spring WebFlux + LLM Practical Implementation강의 썸네일

            Spring WebFlux + LLM Practical Implementation

            johnh

            Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

            초급

            초급

            Java, Spring, webflux

            Spring WebFlux + LLM Practical Implementation강의 썸네일

            Spring WebFlux + LLM Practical Implementation

            johnh

            Fun Financial Statements Created with VIBE Coding (Cursor AI)강의 썸네일

            Fun Financial Statements Created with VIBE Coding (Cursor AI)

            roadmap

            We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

            입문

            입문

            prompt engineering, business, Generative AI

            Fun Financial Statements Created with VIBE Coding (Cursor AI)강의 썸네일

            Fun Financial Statements Created with VIBE Coding (Cursor AI)

            roadmap

            Spring AI Practical Guide: Building a RAG Chatbot강의 썸네일

            Spring AI Practical Guide: Building a RAG Chatbot

            sionicai

            Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.

            입문

            입문

            Spring AI, LLM, RAG

            Spring AI Practical Guide: Building a RAG Chatbot강의 썸네일

            Spring AI Practical Guide: Building a RAG Chatbot

            sionicai