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[4-Week Course] "AI Agent Engineering" Reading Challenge

We are hosting a reading challenge for "AI Agent Engineering," a practical guide to building proactive agent systems using LLMs. This book covers the core components of agents step-by-step, from tool selection to orchestration (designing planning and execution flows) and memory management. It also explores how to scale into multi-agent architectures where multiple agents collaborate by dividing roles. Furthermore, it expands your perspective from "how to build" to "how to operate" by covering essential production-level topics such as reliability, security, and governance. Do you want to go beyond automation and design agent systems that operate safely, transparently, and according to human intent? Discover a concrete roadmap to turn your ideas into production-level systems through this book and challenge!

Python
RAG
AI
AI Agent
book-challenge

25개 수업 학습

4회 미션 수행

라이브 1 회

질문하고 즉시 답을 얻어요.

한빛 마일리지 최대 2만점 지급

역자 동영상 강의 제공

teeddub님과 함께해요!

542

Learners

8

Reviews

10

Answers

5.0

Rating

2

Courses

Hello.

Co-instructor

We are recruiting additional participants due to the first deadline!

“I opened the package and the mug I ordered is broken!”

At this point, isn't your chatbot just connecting them to an agent? A customer support AI agent can independently look up order history, verify photos of the damage, and then immediately approve and process a refund according to regulations.

AI Agent Engineering』 is a practical guide to building agent systems that work proactively using LLMs. It covers everything step-by-step, from tool selection and planning (orchestration) to memory management and multi-agent architectures where multiple agents collaborate by dividing roles. Furthermore, it expands your perspective from 'how to build' to 'how to operate' by including reliability, security, and governance, which are critical in production environments.

Do you want to go beyond simple automation and design agent systems that operate safely and transparently according to human intent? Check out the concrete roadmap to bridge your ideas into production-level systems through the book and the challenge!

2월

8일

챌린지 시작일

2026년 2월 8일 PM 03:00

챌린지 종료일

2026년 3월 8일 PM 02:30

챌린지 커리큘럼

All

30 lectures ∙ (36min)

Course Materials:

Live

챌린지에서 배워요

  • Capable of completing an AI agent system design tailored to my work

  • Capable of designing multi-agent collaboration structures

Recommended for
these people

Who is this course right for?

  • Developers who want to deploy prototypes as live services

  • Engineers who want to improve the reliability and consistency of agents

  • Those who want to learn how to build practical AI agents

Need to know before starting?

  • Experience with basic Python syntax and writing simple scripts

  • Basic concepts of LLM and RAG

Reviews

All

4 reviews

5.0

4 reviews

  • mindcompass님의 프로필 이미지
    mindcompass

    Reviews 37

    Average Rating 4.8

    5

    100% enrolled

    I enjoyed reading the book. The overall introductory explanation is excellent. However, it feels a bit detached from the content and code that can be directly applied in practice.

    • supark님의 프로필 이미지
      supark

      Reviews 15

      Average Rating 4.9

      5

      33% enrolled

      This is a book that captures the concerns and reflections of an engineer!

      • calculator님의 프로필 이미지
        calculator

        Reviews 148

        Average Rating 4.9

        5

        75% enrolled

        • miyang님의 프로필 이미지
          miyang

          Reviews 14

          Average Rating 4.9

          5

          33% enrolled

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

          $8.80