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<AI Self-Study: Building Your First AI Agent Service> 10-Week Reading Challenge - Cohort 3

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

  • Build Your Own LangChain-Based AI Agent Service

  • Directly build an AI service with article summarization, sentiment analysis, and rewriting features.

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

  • Develop the ability to design the overall architecture—from prompts and tools to agents, APIs, and front ends.

  • Develop hands-on skills in connecting LLM call flows with chains and agents.

Starts Nov 10

71 days

Finish Jan 19

  • Cohort 3now opening
  • 54People who joined past cohortsPast participants
  • 14 missions

sucoding님과 함께해요!

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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.
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[Official Website Link]

More

Build an AI agent yourself
Complete the process through deploying a real service!

Complete the development of an AI agent service powered by LangChain


Do you want to go beyond the concept of AI agents and build a service that actually works?
From prompt design and API integration to React frontend development and real-world deployment,
develop comprehensive skills in building AI agent services.


This challenge is based on a book by SooCoding.

This is a challenge to systematically read through <AI Self-Study: Building Your First AI Agent Service> from beginning to end.


Book Purchase Links

📗 yes24

📗Kyobo Bookstore

📗Aladin

All participants will receive a 50% discount coupon for one of their choice of SuCoding’s courses.

10,000 points redeemable on the Gilbut website will also be awarded

(upon completing 100% of the mission)

We will provide five outstanding participants with a course released by SooCoding, in the form of one 100% discount coupon.

AI agents built with LangChain, FastAPI, and React
Build a real service with text summarization, sentiment analysis, and rewriting features.

Go beyond simply learning theory and design AI agents yourself
for end-to-end development experience, from API integration to the frontend.

From setting up the development environment to deploying an AI agent service
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, submit proof of purchase for the course textbook, 'AI Self-Study: Building Your First AI Agent Service'.

Section 2 - Building a Foundation in AI Agents

We build a foundation in setting up a development environment with LangChain, implementing a first conversation, designing prompts and calling LLMs, and working with LCEL and output data.

Section 3 - Developing an AI Writing Analysis Agent

Learn how to define tools and implement an AI writing analysis tool, then use that knowledge to design and develop a real AI agent.

Section 4 - Complete and Deploy the AI Agent Service

Build the backend with FastAPI, connect it to a React frontend, and 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 just for people like you.


✔️ Developers who want to learn AI agent development in a structured way

  • Those who want to work through everything step by step with a book, from the fundamentals of AI agents to hands-on implementation

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

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

✔️ For those who want to build a real, working AI service that goes beyond chatbots

  • ✔️ Those who want to implement complex AI logic using tools and agents, going beyond simple LLM API calls

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

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

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

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

  • Those who want to take on AI service development using their basic knowledge of Python syntax and web development

  • Those who want to sharpen their practical skills by building a production-ready AI agent service themselves.


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

Notes Before Taking the Course


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: 8 GB or more of RAM is recommended for smooth development.

Prerequisites and Important Notes

  • You should understand basic Python syntax and the fundamentals of web development.

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

  • Hands-on example code and materials

  • Deliverable: An AI agent service you built yourself


11월

10일

챌린지 시작일

2026년 11월 10일 오전 12:00

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2027년 1월 19일 오후 11:30

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All

14 lectures

Course Materials:

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Recommended for
these people

Who is this course right for?

  • A developer who wants to build an AI agent themselves rather than just learn about the concept in theory.

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

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

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

  • For 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
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