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Applied AI

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Applied AI Development

(Free Live) AI Development Workflow Using Claude Code

We will introduce the core features of Claude Code and the cases in which it is utilized in development workflows.

claude
Free Live

6개 수업 학습

라이브 1 회

무제한 복습, 내 것으로 만들어요.

성취의 증표, 수료증을 발급해요.

지식공유자와 멘토링 혜택!

digitalopenlab님과 함께해요!

597

Learners

5

Reviews

4.8

Rating

4

Courses

Digital Open Lab supports the creation of convergence industries based on new digital technologies and their global expansion.

We operate digital technology-related educational programs and provide a space where various technical ideas can be tested.

More

Co-instructor

Learn the basics 'Online' + Practical practice 'Offline'!

Inflearn's popular courses are now available
Digital Open Lab as offline classes!

Learning efficiency will be much higher if you meet in person to ask questions and practice hands-on💪
If you are interested in AI development workflows using Claude Code

Don't miss this opportunity and apply now! 👉

📍Information

Schedule:
- Online Live: 26.04.016 18:00~21:00
- Offline Training: 26.04.23 13:00~17:00
Location:
- Online Live: Live participation link within the curriculum below
- Offline: Pangyo Startup Campus, Building 1, 3rd Floor
Information:
- This session will be held both online and offline; if you wish to attend offline, please indicate so in the survey.
- You can check your certificate of completion and the live recording within 3 days after the class ends.

Introduction to the Topic

Knowledge Sharer: Woozoobro

Course 5. AI Development Workflow Using Claude Code

Part 1. [Online Live] Core Use Cases for AI in Practice (3 hours)

  • Document writing, research, planning, etc.

  • Generative AI application patterns for common workplace tasks

  • Structuring and delegating work with generative AI

Part 2. [In-person Workshop] Applying Claude to Your Work (4 hours)

  • From requirement gathering to implementation

  • Product creation process using Claude

  • Working with AI as a collaborator

How to Apply

If you wish to attend the offline training after applying for the online live session, please follow the process below!

🎬 Online Live

Step 1. Apply for Inflearn Challenge

→ Application Complete!

Step 2. Access the live session and attend the class

👨‍🏫 Offline Hands-on Training

Step 1. Apply for the Inflearn Challenge →
Step 2. Digital Open Lab Program Application →
Step 3. Inflearn Challenge Click [Continue Learning], fill out the survey, and submit

Precautions

  • This training requires you to bring your own laptop.

  • Education cancellation is possible up to two days before the training date (must contact the person in charge). In the event of same-day cancellation, unauthorized absence, or leaving early,
    restrictions will be placed on future applications for 2026 Digital Open Lab (Pangyo) training.

  • Expert consulting will be provided to two selected trainees on the day of the training.

    Please select whether you would like to receive consulting when applying for the training.

    For approximately 10 minutes after the training, for two people randomly selected from among those who wish to participate,

    Consulting will be provided.

  • Completion is granted upon attending at least 80% of the daily training hours and participating in the satisfaction survey,

    Certificates of completion will be sent only to those who apply after the training ends.

  • Parking space is limited, so we recommend using public transportation. 

    (Free parking is available for up to 3 hours and 30 minutes; 500 KRW per 10 minutes thereafter)

인프런_디지털혁신기술교육_포스터 (1)

4월

15일

챌린지 시작일

2026년 4월 15일 PM 03:00

챌린지 종료일

2026년 4월 23일 PM 02:30

챌린지 커리큘럼

All

7 lectures ∙ (3hr 37min)

Course Materials:

Live

챌린지에서 배워요

  • Building a development workflow using AI

  • Practical problem-solving skills using Claude's core features

Recommended for
these people

Who is this course right for?

  • Developers who want to increase productivity using AI

  • Practitioners who are curious about building an AI development environment

Reviews

All

3 reviews

4.7

3 reviews

  • quscogus4235님의 프로필 이미지
    quscogus4235

    Reviews 3

    ∙

    Average Rating 5.0

    5

    0% enrolled

    Thank you.

    • iamhyungjoo님의 프로필 이미지
      iamhyungjoo

      Reviews 1

      ∙

      Average Rating 4.0

      4

      67% enrolled

      • gyungdang0909님의 프로필 이미지
        gyungdang0909

        Reviews 1

        ∙

        Average Rating 5.0

        5

        67% enrolled

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

        Free