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Challenge
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[Batch 2 Open] Create Your Own AI Learning Agent

AI news pours in every day, and what you learned yesterday is buried by new updates within a month. This challenge is not about spending time chasing more AI, but about creating your own learning agent that selects, remembers, and converts the information you need into actual results. Participants will be provided with basic agent code and will refine it to fit their own interests, work, and learning routines. In weeks 1 to 3, you will learn the basic structure of an agent that leads from information collection -> memory structure (Q&A) -> output generation. In week 4, you will complete the course with a capstone project connected to your own work or studies.

ChatGPT
prompt engineering
AI Agent
Model Context Protocol
claude

5회 미션 수행

라이브 5 회

성취의 증표, 수료증을 발급해요.

추가 자료를 통해 학습을 이어나가요.

질문하고 즉시 답을 얻어요.

같은 기수와 교류하고 함께 성장해요.

무제한 복습, 내 것으로 만들어요.

지식공유자와 멘토링 혜택!

makerjun님과 함께해요!

554

Learners

51

Reviews

3

Answers

4.9

Rating

3

Courses

Simple but essential — It is simple, but it deals with the essence.

Through AX training, we will work together to create your own learning agent that adds a layer of usefulness every day, however small it may be.

강사 프로필
LIVE

함께 소통할 수 있는 라이브가 예정되어 있어요!

07.29.수

오전 10:30

W1. input — 내 기준으로 고르는 AI 정보 수집 흐름 만들기 (오프라인, 판교)

08.05.수

오전 10:30

W2. inbox — 내 자료를 저장하고 바로 답하는 기억 구조 만들기

08.12.수

오전 10:30

W3. outbox — 쌓인 자료로 글·정리·기획 초안 만들기

08.19.수

오전 10:30

W4. outcome — 나만의 학습 에이전트와 세컨드 브레인 저장소 구축하기

08.26.수

오전 10:30

공유데이 — 학습 에이전트를 계속 키우는 방법 정리 (오프라인, 판교)

7월

28일

챌린지 시작일

2026년 7월 28일 오후 03:00

챌린지 종료일

2026년 8월 26일 오후 02:30

챌린지 커리큘럼

All

10 lectures

Course Materials:

챌린지 전용 수업
Live

챌린지에서 배워요

  • Complete the basic structure of a planning/research agent that collects materials tailored to my interests and work topics.

  • Create a PKM outbox and a question/answer memory structure to establish a workflow for retrieving and reusing learning records.

  • Create actual outputs such as newsletters, study reports, and planning drafts, and expand them into a week 4 capstone project.

Recommended for
these people

Who is this course right for?

  • Those who keep up with AI news but feel overwhelmed about what to learn to fit their specific interests and work

  • Those who want to expand agents like Claude/Codex beyond simple Q&A into their own learning and work routines

Need to know before starting?

  • It is designed so that participation is possible after completing the basic environment setup pre-lecture (VOD). We are preparing the VOD with the goal of providing it in the second week of July.

  • It is enough if you can lightly follow the execution flow of files/folders, the terminal, GitHub, Claude Code, or Codex.

Reviews

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

단, 9자리 남았어요

$152.90