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AI Agent Development

Creating Your Own AI Agent Using OpenAI (Agent Builder, GPT-5, Chatkit, Cloudflare, MCP, Fine Tuning, CoT, etc.)

Create a multi-agent system app with Agent Builder and Chatkit, and deploy the app with Cloudflare. All the latest technologies including GPT-5, Agent Builder, Chatkit, MCP, Fine Tuning, CoT have been incorporated.

18 learners are taking this course

  • AI CASTLE
openai
mcp
cloudflare
agent-builder
chatkit
multi-agent
Fine-Tuning
Model Context Protocol
AI Agent

What you will learn!

  • Create Your Own AI Agent in Just 10 Minutes

  • Implementing Multi-Agent Systems with OpenAI Agent Builder

  • Create Apps Easily and Quickly with OpenAI Chatkit

  • Deploying My Agent App with Cloudflare

  • Understanding and Practicing Prompt Engineering and CoT (Chain of Thought)

  • RAG (Retrieval-Augmented Generation) for Large-Scale Document Processing

  • From utilizing MCP (Model Context Protocol) to directly deploying servers

  • Creating Your Own LLM by Training with Fine Tuning on Your Personal Data

Without a doubt, this is the best AI agent course.

This course is about creating your own AI agent using the Agent Builder from the OpenAI Platform.

Both developers and non-developers can take this course.

ℹ️ What is Agent Builder

  • The official launch of Agent Builder was announced at OpenAI DevDay in October 2025.

  • Anyone can easily and quickly configure multi-agent workflows using a drag-and-drop method.

  • Next-generation AI agent development platform that is attracting significant attention and being rapidly adopted by both enterprises and developers.

Course Features

Utilizing Self-Made Ebooks from Kind Explanations

Hands-on lectures that even beginners can easily follow

Ebook Link: https://openai-agent.aicastle.school


Inflearn Events for Students 🎉

  • We provide free practice support for those taking courses through Inflearn, without worrying about costs or organizational setup (card registration, organizational verification).

  • Additionally, the course provides guidance on cost reduction methods using free quotas on the OpenAI Platform.

  • Content related to events and free quotas is [03. Setting Up Organization and Receiving Free Quota] is covered in the lecture.


You'll learn this kind of content

Agent Builder

Learn how to implement Multi Agent System (MAS) workflows quickly and easily using drag and drop with Agent Builder.

Configuring Workflows with Agent Builder

Chatkit

Chatkit is a chat interface provided by OpenAI. You'll learn how to integrate workflows created in Agent Builder with Chatkit to develop sophisticated apps easily and quickly.

Creating an app with Chatkit

Cloudflare

Learn how to deploy a stable and fast agent app for free anywhere in the world using Cloudflare Pages' globally distributed edge server network.

Deploying Apps with Cloudflare Pages

GPT-5

We will proceed with the practice using OpenAI's latest model, GPT-5. By utilizing GPT-5's built-in reasoning capabilities, we can implement logical responses without the need for a CoT process.

Reflecting the latest GPT-5 model

MCP (Model Context Protocol)

You'll learn how to integrate external tools (Google Drive, Email, Calendar, etc.) on various MCP platforms like Zapier and Smithery. You'll also create and deploy your own custom MCP server.

MCP Google Drive Integration

RAG, Vector Store

Using File Search to understand the principles of RAG and Vector Store and conduct hands-on practice. Learn how to easily and quickly build large-scale document processing systems.

Explanation of RAG and Vector Store Principles

Code Interpreter

Data analysis has now become really easy. You can delegate data analysis tasks using Code Interpreter, OpenAI Platform's own tool. Learn how to analyze Seoul bicycle data in just 10 seconds.

Seoul Bicycle Data Analysis Practice

Fine Tuning

Learn how to create your own LLM model by training custom data through Fine Tuning. This allows you to reduce the amount of prompt engineering while improving performance and cost efficiency.

Fine Tuning Data Composition Practice

After taking the course

  • You can create and deploy your own agent in just 10 minutes.

  • You can implement advanced agent features that can be applied directly to real-world work.

  • You will understand the principles of LLM and agents, and be able to collaborate with AI-related professionals.



The person who created this lecture

  • This course was produced by the education team at AI Castle Co., Ltd.

  • The instructor who participated in creating this course has conducted artificial intelligence, cloud computing, and robotics lectures at numerous universities and companies, and is currently engaged in development and teaching work utilizing the latest artificial intelligence technologies.


Q. What is the difference between OpenAI Platform and ChatGPT?

OpenAI Platform is a platform for creating developer-friendly custom agents.

While ChatGPT targets general users who use the completed app, OpenAI Platform is designed for developers who want to create custom agent apps.

While the OpenAI Platform was created for developers, its simple UI-based interface makes it easy for anyone to use.

Q. Why should I use OpenAI?

OpenAI is the most recognizable company and platform not only for developers but also for the general public.

Additionally, it is cost-effective compared to similar models from other companies, making it financially advantageous for custom app development.

OpenAI is not simply focused on developing artificial intelligence models, but also provides various convenient tools that allow customers to easily create their own agents. Therefore, it is possible to create apps more easily and quickly compared to other platforms.

Q. Can ordinary people with no development experience also take this course?

Yes, it's definitely possible. Agent Builder is a drag-and-drop UI-based agent creation tool that can be easily accessed not only by developers but also by general users. When creating AI agents, understanding the principles and structure is more important than programming. This course is designed to help you understand the principles and structure of AI agents and apply them to practice so that you can solve your own problems.

Pre-enrollment Reference Information

Practice Environment

All hands-on exercises in this course are conducted through web browsers. If your web browser works well, there are no additional programs you need to install separately. (MCP program exercises are also conducted through Github Codespaces, a web-based development environment.)

Learning Materials

Prerequisites and Important Notes

  • This course is designed so that anyone can take it without prerequisite knowledge.

  • The programming parts (Python) are only included in the [Advanced] MCP Server Development section in the latter half of the course, and even this section is structured so that non-developers can complete the exercises without any issues through vibe coding (delegating coding to AI).

Recommended for
these people

Who is this course right for?

  • Anyone who wants to easily and quickly create their own AI agent app

  • Those curious about the principles of LLM and Agent

  • Someone who wants to introduce agents into their practical work

  • Those who want to understand the latest technologies such as RAG, MCP, MAS, etc.

Hello
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Learners

93

Reviews

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Answers

4.7

Rating

3

Courses

  • (주)에이아이캐슬은 AI 교육과 이를 활용한 대회 및 행사 등을 위탁 운영하고 있습니다.

  •  문의: contact@aicastle.com

🚀 교육, 대회, 행사 위탁 자세히 알아보기


AI 교육 운영 위탁

초중고 및 대학, 기업 등을 대상으로 AI 교육을 기획하고 운영합니다. 최신 AI 기술 동향을 반영한 커리큘럼과 실습 중심의 교육으로 참가자들에게 유익한 경험을 제공합니다.

사진: 교사 연수 프로그램

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AI 대회 운영 위탁

학생들은 배운 내용을 토대로 자신만의 AI, 프로젝트를 진행하며, 이를 대회에 제출하여 경쟁하게 됩니다. 이를 통해 학생들은 경쟁심을 키우고, 더 나아가 현업에서 요구되는 역량을 키울 수 있습니다.

사진: COSS 미래자동차 컨소시엄

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AI 행사 운영 위탁

다양한 AI 관련 행사를 기획하고 운영합니다. 참가자들이 최신 AI 기술을 체험하고 학습할 수 있는 기회를 제공합니다.

사진: DIFA AI 자율주행 체험부스

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Curriculum

All

27 lectures ∙ (6hr 3min)

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