LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering
4.9
(118)
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
LLM, LangChain, prompt engineering
LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering
4.9
(118)
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.9
(92)
Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.
초급
AI Agent, LangGraph, RAG
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.9
(92)
Learning Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.9
(29)
Using Python's basic syntax and libraries, create your own AI chatbot. You will carry out 5 projects step-by-step, including PDF document-based RAG, and learn the process of deploying them as web services.
초급
RAG, LangChain, LLM
Learning Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.9
(29)
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API
4.9
(243)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
초급
LLM, RAG, LangChain
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API
4.9
(243)
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(27)
AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(27)
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(29)
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
초급
LLM, LangChain, prompt engineering
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(29)
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
5.0
(41)
This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.
초급
RAG, LangChain, LLM
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
5.0
(41)
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium
4.5
(12)
This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.
초급
LLM, LangChain, Web Crawling
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium
4.5
(12)
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
aischool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.5
(6)
This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).
중급이상
LangChain, RAG, openAI API
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
aischool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.5
(6)
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
leejinkyu0612
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(8)
This is a course to master the core technologies of LLM basic theory, LangChain, and RAG. You can easily learn the latest AI technologies used in practice, from LLM basics!
초급
Chatbot, LLM, LangChain
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
leejinkyu0612
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(8)
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.
초급
LangChain, FastAPI, RAG
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain
aischool
₩52
중급이상 / LLM, LangChain, ChatGPT
4.4
(21)
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
LLM, LangChain, ChatGPT
Large Language Models (LLM) for Everyone Part 2 - Building Your Own ChatGPT with LangChain
aischool
₩52
중급이상 / LLM, LangChain, ChatGPT
4.4
(21)
LangChain Basics for Beginners
pdstudio
무료
초급 / LangChain, LLM, openAI API, Python
4.8
(236)
Learn LangChain's basic concepts and usage with Python. Hands-on practice will be conducted primarily in a Google Colab (colab) environment, with materials provided via Github.
초급
LangChain, LLM, openAI API
LangChain Basics for Beginners
pdstudio
무료
초급 / LangChain, LLM, openAI API, Python
4.8
(236)
(LLM Development) Building RAG Chatbots with LangChain and ChatGPT
leejinkyu0612
₩18
초급 / Chatbot, openAI API, RAG, LLM, LangChain, ChatGPT
3.0
(2)
-In just one day, create your own RAG chatbot. -Practice how to utilize ChatGPT API and Langchain. -Actually implement LLM-based AI chatbots such as ChatGPT. -Create a RAG chatbot, a current trend in the chatbot market.
초급
Chatbot, openAI API, RAG
(LLM Development) Building RAG Chatbots with LangChain and ChatGPT
leejinkyu0612
₩18
초급 / Chatbot, openAI API, RAG, LLM, LangChain, ChatGPT
3.0
(2)
Work Automation AI Agent Ready for Immediate Use in Companies (w. n8n, LangGraph)
jasonkang
₩62
초급 / n8n, AI, LangChain, Generative AI, LangGraph
4.8
(31)
Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.
초급
n8n, AI, LangChain
Work Automation AI Agent Ready for Immediate Use in Companies (w. n8n, LangGraph)
jasonkang
₩62
초급 / n8n, AI, LangChain, Generative AI, LangGraph
4.8
(31)
LangChain with TypeScript - LLM & RAG Introduction
ivybae
무료
입문 / LangChain, LLM, prompt engineering, openAI API
5.0
(8)
TypeScript LangChain Basics: From LLM Essentials to RAG
입문
LangChain, LLM, prompt engineering
LangChain with TypeScript - LLM & RAG Introduction
ivybae
무료
입문 / LangChain, LLM, prompt engineering, openAI API
5.0
(8)
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
leejinkyu0612
₩8
입문 / Python, vector-database, LLM, LangChain, RAG
5.0
(3)
RAG (Retrieval-Augmented Generation) from theory to the latest multimodal and agent-based RAG! This is a hands-on lecture designed to be understandable even for non-majors. From paper reviews to practical code implementation, it's designed so that even those encountering RAG for the first time can easily follow along.
입문
Python, vector-database, LLM
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
leejinkyu0612
₩8
입문 / Python, vector-database, LLM, LangChain, RAG
5.0
(3)
graphRAG - Knowledge Graph-based RAG System Implementation with Neo4J (feat. LangChain)
pdstudio
₩110
초급 / RAG, LangChain, neo4j, LLM, DBMS/RDBMS
4.9
(19)
Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!
초급
RAG, LangChain, neo4j
graphRAG - Knowledge Graph-based RAG System Implementation with Neo4J (feat. LangChain)
pdstudio
₩110
초급 / RAG, LangChain, neo4j, LLM, DBMS/RDBMS
4.9
(19)
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, openAI API, RAG
4.5
(2)
I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, openAI API, RAG
4.5
(2)