Everything else is fine. I think it would be good to also upload the post-release materials used in the presentation. Other than the post-release materials.

hsc650031

AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.

aischool

Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph

AI활용

ai활용

에이전트

AISchool

입문

초급

중급이상

랭그래프

LangGraph

AI 에이전트

AI Agent

랭체인

LangChain

검색증강생성

오픈ai-API

openAI API

Practice Guidelines

Lecture slide download

1st Lecture - What is an AI Agent

Chapter 2 - LangGraph Basics

Chapter 3 - Exploring Tools That AI Agents Can Use

Structured Outputs - Essential Latest Features You Must Know for AI Agent Implementation

Lesson 4 - Building Multi-agent Systems with LangGraph

Lesson 5 - Further Improving Basic RAG Systems with LangGraph

Chapter 6 - Advanced LangGraph Architecture

Lecture 7 - STORM(Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking)

Chapter 8 - Building Your Own AI Agent with LangGraph

Chapter 9 - Implementing AI Agents Using Llama Models

Lecture 10 - LLMCompiler

Lesson 11 - Creating an AI Newsletter

Chapter 12 - Creating a Cryptocurrency Analysis AI Agent

Lesson 13 - Implementing SQL Agent

Lecture 14 - Generating Prompts with LLM

OpenAI Responses API - A new API integrating Chat Completions API and Assistants API (Released March 11, 2025)

Lecture 15 - Implementing Code Generation Agents

OpenAI Agents SDK

MCP(Model Context Protocol)

Conclusion