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AI Agent Development

AI Agent Development Using LangGraph (feat. MCP)

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

(4.9) 152 reviews

1,853 learners

Level Basic

Course period Unlimited

  • jasonkang
ai활용
ai활용
에이전트
에이전트
prompt engineering
prompt engineering
LLM
LLM
AI Agent
AI Agent
LangGraph
LangGraph
Model Context Protocol
Model Context Protocol
ai활용
ai활용
에이전트
에이전트
prompt engineering
prompt engineering
LLM
LLM
AI Agent
AI Agent
LangGraph
LangGraph
Model Context Protocol
Model Context Protocol

MCP Update - Streamable HTTP Use

Hello, this is Kang Byeong-jin.

When MCP was first released, it used STDIO and SSE for communication, but SSE was officially deprecated and the Tranport method was changed to Streamable HTTP, so we updated the relevant information. Please refer to the newly updated information and source code!

And we have released a lecture on AI agent use cases that can be used immediately in the company. I think you now know a little about LangGraph, but if you are curious about how to use it, I think it will be very helpful to take the lecture.

https://inf.run/WSbNz

This time, I also added how to use the automation tool called n8n. Although implementing all functions in code has the advantage of being a bit more flexible and customizable, I chose the method of using a tool developed for general use because I thought it would also increase development efficiency. As always, if you have any questions that require further explanation while taking the class, please post them as questions! I will respond as quickly as possible.

thank you
Kang Byung-jin's dream

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