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<AI Self-Study: Your First AI Agent Service> 10-Week Completion Challenge - Cohort 2

In just 10 weeks, here's what you'll get

  • Complete your own LangChain-based AI agent service

  • Build an AI service from scratch with text summarization, sentiment analysis, and rewriting capabilities.

  • Successfully deployed an AI agent service built with FastAPI + React.

  • Acquire the ability to design the entire architecture, from prompts to tools, agents, APIs, and the frontend.

  • Developing practical expertise in connecting LLM call flows through chains and agents

Starts Sep 14

71 days

Finish Nov 23

  • Cohort 2now opening
  • 14 missions

sucoding님과 함께해요!

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Sukoding provides both online and offline
coding instruction.

Based on years of offline teaching experience,
we think every day and work tirelessly so that more people can learn coding easily and enjoyably
.

To date, I have published the following five books
and am leading the field of front-end development education::

We also offer a variety of free courses through our YouTube channel.
👇 Visit us now
[YouTube channel link]

You can also quickly check the latest discount news on the official website.
👇 Visit it now
[Official Website Link]

More

Build an AI agent yourself
Complete it through deploying a real-world service!

Build a LangChain-based AI agent service


Do you want to go beyond the concepts of AI agents and build a fully functional service?
From prompt design and API integration to React frontend development and actual deployment,
complete your systematic AI agent service development skills.


This challenge is based on SuCoding's book

This is a challenge to systematically complete <ai self-study: building your first ai agent service> from start to finish.</ai>


Book purchase link

📗 yes24

📗Kyobo Bookstore

📗Aladin

All participants will receive a choice of one course released by SuCoding 50% discount coupon.

2,000 points usable on the Gilbut website will also be awarded

(Upon completing 100% of the mission)

The five top participants will receive a course launched by Sucoding100% discount coupon.

AI agent implementation based on LangChain, FastAPI, and React
Build a real service with text summarization, sentiment analysis, and rewriting features.

Go beyond simply studying theory by designing AI agents yourself and gaining end-to-end development experience, from
API integration to the front end.

From setting up the development environment to deploying an AI agent service,
you will experience the entire process firsthand and develop practical skills.

Build an AI agent yourself
!

Section 1 -Book Purchase Verification

As the first step toward participating in the AI Self-Study Challenge, verify your purchase of the course textbook, 'AI Self-Study: Building an AI Agent Service from Scratch'.

Section 2 -Building a Foundation in AI Agents

Build a foundation in setting up a development environment with LangChain, implementing your first conversation, designing prompts and calling LLMs, and handling output data with LCEL.

Section 3 -Developing an AI Writing Analysis Agent

Learn how to define tools and implement an AI article analysis tool, then design and develop a real AI agent based on this knowledge.

Section 4 - Completing and Deploying the AI Agent Service

Build the backend with FastAPI and connect it to a React frontend to complete the AI agent service, then deploy it as a real-world service.

Would you like to build an AI agent service yourself from start to finish?
This course was created specifically for people like you.


✔️ Developers who want to learn AI agent development systematically

  • Those who want to methodically follow along with a book, from the basic concepts of AI agents to actual implementation

  • Those who want to complete an AI agent service by utilizing LangChain, FastAPI, and React all together

  • Those who want to experience the entire process of developing an AI agent service, from planning to deployment

✔️ Those who want to build a truly functional AI service beyond a chatbot

  • Those who want to go beyond simply calling LLM APIs and implement complex AI logic using Tools and Agents.

  • Those who want to directly implement practical AI features such as text summarization, sentiment analysis, and rewriting.

  • Those who want to deploy the AI agent service they developed to actual users using FastAPI and React

✔️ Those who want to develop full-stack AI skills, from prompt engineering to service deployment

  • Those who want to design the overall architecture of AI agents and develop the ability to effectively manage LLM call flows

  • Those who want to take on AI service development based on basic Python syntax and fundamental web development knowledge

  • Those who want to enhance their practical skills by completing a deployable AI agent service themselves


Don't stop at learning theory.
Now, build your own AI agent service and become a true developer!

Things to Note Before Enrolling


Practice Environment

  • Operating systems: Windows, macOS, and Linux are all supported.

  • Development tools: VS Code, Python 3.8 or later, and Node.js are required.

  • PC specifications: At least 8GB of RAM is recommended for smooth development.

Prerequisites and Important Notes

  • Understanding of basic Python syntax and the fundamental flow of web development is required.

  • Experience using LLM APIs is a plus.

  • You must purchase the book yourself and verify that you have read it in full to participate.

Learning materials

  • Course textbook: 〈AI Self-Study: Building Your First AI Agent Service〉

  • Practice example code and materials

  • Deliverable: An AI agent service you created yourself


9월

14일

챌린지 시작일

2026년 9월 14일 오전 12:00

챌린지 종료일

2026년 11월 23일 오후 11:30

Recommended for
these people

Who is this course right for?

  • Developers who want to build AI agents themselves rather than just learn about them in theory

  • Those who want to gain experience connecting LangChain, FastAPI, and React in a single project

  • Those who want to go beyond chatbot-level projects and deploy a fully functional AI service.

  • Those familiar with basic Python syntax and the fundamental flow of web development (frontend/backend structure)

  • Those who have used LLM APIs but are new to agent and tool structures

Need to know before starting?

  • Basic knowledge of Python is required.

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