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

Using the book "AI Self-Learning: Building Your First AI Agent Service," you will build a fully operational AI agent service yourself. This reading completion challenge allows you to systematically learn and master AI agent development skills by following the book's content step by step. Participants will receive a 50% discount coupon applicable to the author's upcoming live lectures and Sucoding courses, along with 20,000 Gilbut points.

sucoding

React

Python

FastAPI

LangChain

14회 미션 수행

성취의 증표, 수료증을 발급해요.

무제한 복습, 내 것으로 만들어요.

완주 시 쿠폰을 제공해요.

질문하고 즉시 답을 얻어요.

같은 기수와 교류하고 함께 성장해요.

sucoding님과 함께해요!

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Courses

Sucoding is active in teaching coding by combining
online and offline methods.

Based on years of offline teaching experience,
we contemplate every day and strive constantly so that more people can learn coding easily and enjoyably.

To date, I have published the following four books and am leading the field of front-end instruction:

Additionally, we provide various free lectures through our YouTube channel.
👇 Visit now
[YouTube Channel Link]

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

✔️ 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.

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

5일

챌린지 시작일

2026년 8월 5일 오후 03:00

챌린지 종료일

2026년 10월 15일 오후 02:30

챌린지 커리큘럼

All

14 lectures

Course Materials:

Mission

Section 1. Book purchase verification

1 lectures

Book purchase verification

Section 2. Part 1. Laying the Foundation for AI Agents

4 lectures

Certification of completion for Chapter 1: Setting Up the Development Environment and Project Preparation
Certification of completion for Chapter 2: Having Your First Conversation with LangChain
Certification of completion for Chapter 3: Understanding Prompt Design and LLM Calls
Certification of completion for Chapter 4: Handling LCEL and Output Data

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

3 lectures

Chapter 5 Defining Tools
Chapter 6: Implementing an AI Text Analysis Tool
Chapter 7 Creating AI Agents

Section 4. Part 3 Completing the AI Agent Service

6 lectures

챌린지에서 배워요

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.

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.

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

sucoding님과 함께해요!

Build Your Own AI AgentAll the Way to Real-World Service Deployment!

LangChain-Based AI Agent Service Successfully Built

📗 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

AI AgentLet's build your own!

Section 1 - Book Purchase Verification

Section 2 - Building the Foundations of AI Agents

Section 3 - AI Text Analysis Agent Development

Section 4 - Completing and Deploying the AI Agent 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.

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

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챌린지에서 배워요

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sucoding's other courses

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

AI Agent
Let's build your own!

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.

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

Recommended for
these people