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<AI Self-Study: Building Your First AI Agent Service> 10-Week Reading Challenge

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

  • Completion of My Own AI Agent Service Built on LangChain

  • Direct implementation of an AI service featuring text summarization, sentiment analysis, and rewriting capabilities.

  • Successfully Deployed AI Agent Service Built with FastAPI + React to Production

  • Acquire the ability to design the end-to-end architecture, from prompts to tools, agents, APIs, and frontends.

  • Gain hands-on experience orchestrating LLM invocation flows using chains and agents.

Starts Aug 6

71 days

Finish Oct 15

sucoding님과 함께해요!

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Answers

4.9

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12

Courses

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 Your Own AI Agent
All the Way to Real-World Service Deployment!

LangChain-Based AI Agent Service Successfully Built


Do you want to go beyond the concept of AI agents and build a fully functional service?
From prompt design and API integration to React frontend development and real-world deployment,
master comprehensive AI agent service development skills.


This challenge is based on Sukoding's book

This is a challenge to systematically read <AI Autonomous Learning: Building Your First AI Agent Service> from cover to cover.


Book Purchase Link

📗 Yes24

📗Kyobo Bookstore

📗Aladin

We offer all participants a choice of one of Sucoding's courses and a 50% discount coupon.

Valid on the Gilbut website, 20,000 pointsare also provided

(Upon 100% mission completion)

For the top 5 participants, a course launched by Sucoding and a 100% discount coupon will be provided.

LangChain, FastAPI, and React-based AI agent
Implementing a real-world service with text summarization, sentiment analysis, and rewriting features.

Beyond mere theoretical learning, directly design an AI agent and
gain complete development experience from API integration to the frontend.

From setting up the development environment to deploying the AI agent service
experience the entire process firsthand to master practical skills.

AI Agent
Let's build your own!

Section 1 - Book Purchase Verification

As the first step to participate in the AI Self-Study Challenge, this verifies the purchase of the course textbook, 'AI Self-Study: Building Your First AI Agent Service'.

Section 2 - Building the Foundations of AI Agents

Build a solid foundation by setting up the development environment using LangChain, implementing the first conversation, designing prompts and invoking LLMs, and learning the basics of LCEL and output data processing.

Section 3 - AI Text Analysis Agent Development

Learn how to define tools and implement AI text analysis tools, and use this foundation to design and develop a real-world AI agent.

Section 4 - Completing and Deploying the AI Agent Service

Build the backend using FastAPI and connect it to the React frontend to complete the AI agent service, culminating in the deployment of the live service.

Do you want to build an AI agent service from start to finish on your own?
This course was created exactly for people like you.


✔️ Developers who want to learn AI agent development systematically

  • For those who want to follow along step-by-step with the book, from the basic concepts of AI agents to actual implementation.

  • Those who want to build a complete AI agent service by leveraging LangChain, FastAPI, and React.

  • For those who want to experience the entire process of AI agent service development, from planning to deployment.

✔️ For those who want to build a fully functional AI service beyond just a chatbot

  • Those who want to go beyond simple LLM API calls and implement complex AI logic leveraging Tools and Agents

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

  • Those looking to deploy the AI agent service they've developed to real users using FastAPI and React.

✔️ Anyone looking to build full-stack AI development skills, from prompt engineering to service deployment

  • Those looking to develop the skills to design the overall architecture of an AI agent and effectively manage the LLM call flow.

  • For those looking to take on the challenge of developing AI services based on a foundation of basic Python syntax and fundamental web development knowledge.

  • Those who want to hone their practical skills by building a production-ready AI agent service from the ground up.


Don't just stick to theoretical learning anymore.
Now, build your own AI agent service and become a true developer!

Things to Note Before Taking the Course


Practice Environment

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

  • Development Tools: Installation of VS Code, Python 3.8 or later, and Node.js is required.

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

Prerequisites and Important Notes

  • An understanding of basic Python syntax and the fundamental web development workflow is required.

  • Experience using LLM APIs is a plus.

  • To participate, you must purchase the book yourself and provide proof of completion.

Learning Materials

  • Course Textbook: 〈AI Autonomous Learning: Building Your First AI Agent Service〉

  • Practice example code and materials

  • Deliverable: A self-built AI agent service


8월

6일

챌린지 시작일

2026년 8월 6일 오전 12:00

챌린지 종료일

2026년 10월 15일 오후 11:30

Recommended for
these people

Who is this course right for?

  • Developers who want to build AI agent concepts hands-on rather than just in theory.

  • For those looking to gain experience integrating LangChain, FastAPI, and React into a single project.

  • For those who want to go beyond basic chatbots and actually deploy a fully functional AI service.

  • Someone who understands basic Python syntax and the fundamental flow of web development (frontend/backend structure)

  • For those who have tried using LLM APIs but are new to Agent and Tool architecture.

Need to know before starting?

  • Basic knowledge of Python is required.

Reviews

All

3 reviews

5.0

3 reviews

  • zanyfelix님의 프로필 이미지
    zanyfelix

    Reviews 8

    ∙

    Average Rating 5.0

    5

    0% enrolled

    It was a meaningful experience as we proceeded step by step, carrying out each task carefully.

    • mindcompass님의 프로필 이미지
      mindcompass

      Reviews 46

      ∙

      Average Rating 4.8

      5

      0% enrolled

      The book’s content was good, and I completed the challenge successfully.

      • supark님의 프로필 이미지
        supark

        Reviews 18

        ∙

        Average Rating 4.9

        5

        0% enrolled

        It’s easy to follow.

        취소 및 환불 규정
        챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

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