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

Using the book <AI Self-Study: Building Your First AI Agent> as a guide, you will create an AI agent service that can actually be deployed and operated. This is a complete-the-book challenge designed to help you systematically learn and develop AI agent skills by following the book’s content step by step. Participants will receive one 50% discount coupon applicable to the author’s upcoming course and SuCoding courses, as well as 20,000 Gilbut points.

sucoding

React

Python

FastAPI

LangChain

14회 미션 수행

성취의 증표, 수료증을 발급해요.

무제한 복습, 내 것으로 만들어요.

같은 기수와 교류하고 함께 성장해요.

질문하고 즉시 답을 얻어요.

완주 시 쿠폰을 제공해요.

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.
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[Official Website Link]

✔️ 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

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

13일

챌린지 시작일

2026년 9월 13일 오후 03:00

챌린지 종료일

2026년 11월 23일 오후 02:30

챌린지 커리큘럼

All

14 lectures

Course Materials:

Mission

Section 1. Proof of Book Purchase

1 lectures

Proof of Book Purchase

Section 2. Part 1. Building a Foundation in AI Agents

4 lectures

Chapter 1 Completion Verification: Setting Up the Development Environment and Preparing the Project
Proof of completing Chapter 2: Having Your First Conversation with LangChain
Chapter 3: Completion Verification for “Understanding Prompt Design and LLM Calls”
Chapter 4: Completion Certificate for LCEL and Handling Output Data

Section 3. Part 2. Creating an AI Text Analysis Agent

3 lectures

Chapter 5: Defining Tools
Chapter 6: Implementing an AI Writing Analysis Tool
Chapter 7: Building an AI Agent

Section 4. Part 3 Completing the AI Agent Service

6 lectures

챌린지에서 배워요

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

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.

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

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

sucoding님과 함께해요!

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

Build a LangChain-based AI agent service

📗 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

Build an AI agent yourself!

Section 1 -Book Purchase Verification

Section 2 -Building a Foundation in AI Agents

Section 3 -Developing an AI Writing Analysis Agent

Section 4 - Completing and Deploying the AI Agent Service

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

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

Things to Note Before Enrolling

챌린지 커리큘럼

챌린지에서 배워요

Recommended for these people

sucoding's other courses

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

Build an AI agent yourself
!

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

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

Recommended for
these people