inflearn logo
강의

Course

Instructor
inflearn logo
Challenge
Ended
Applied AI

/

AI for Work

[Digital Open Lab x Inflab] 2026 Digital Technology AI Practical Training

Digital Open Lab supports the creation of new convergence industries and the cultivation of global companies through new digital technologies.

n8n
cli
RAG
LangGraph
Free Live

14개 수업 학습

질문하고 즉시 답을 얻어요.

지식공유자와 멘토링 혜택!

성취의 증표, 수료증을 발급해요.

같은 기수와 교류하고 함께 성장해요.

digitalopenlab님과 함께해요!

654

Learners

11

Reviews

4.9

Rating

5

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

Your application will be completed only after both the Inflearn Challenge application and the Digital Open Lab application are confirmed.

Turn what you learned 'online' into 'offline' practical practice!

We have prepared popular courses from Inflearn
so that you can attend them as offline classes at the Digital Open Lab!

Learning efficiency will be much higher if you meet in person to ask questions and practice together💪
If you are interested in n8n, data analysis, or LLM topics,

Don't miss this opportunity and apply now! 👉

Topic Introduction

(You can only select one course.)

Course 1. Automation System Using n8n
Instructor: Dr. Nam
Schedule: 26.2.26 (Thu) 13:00~17:00
Location: Digital Open Lab (Pangyo Startup Campus Building 1, 3rd Floor)

Apply for Digital Open Lab>>

Course 2. Data Collection and Data Analysis Using AI
Instructor: Tteu-ttan (After Work Hobbies)
Schedule: '26.3.12 (Thu) 13:00~17:00
Location: Digital Open Lab (Pangyo Startup Campus Bldg 1, 3rd Floor)

Apply for Digital Open Lab>>

Course 3. Creating a Customized LLM: From Basic RAG Concepts to Agent Practice
Instructor: Happy AI
Schedule: 26.3.12 (Thu) 13:00~17:00
Location: Digital Open Lab (Pangyo Startup Campus Building 1, 3rd Floor)

Apply for Digital Open Lab>>

How to Apply

Registration is on a first-come, first-served basis based on the application time on the Digital Open Lab website!
A confirmation text will be sent on February 23rd to the final confirmed trainees.

Step 1. Apply for the Inflearn Challenge →

Step 2. Sign up and log in to the Digital Open Lab website (https://digitalopenlab.kr/index.do) →

Step3. Apply for the training program (https://digitalopenlab.kr/business/educationlist.do) →

Step 4. Inflearn Challenge Click [Continue Learning], fill out the survey items, and submit →

📌Application Notes
❗️If only the Inflearn Challenge is applied for (Registration incomplete)
❗️If only the Digital Open Lab website is applied for (Registration incomplete)
❗️If the Inflearn Challenge survey is not submitted (Registration incomplete)

Precautions

  • This training requires you to bring your own laptop.

  • Education cancellation is possible up to two days before the training date (contacting the person in charge is mandatory). 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 randomly selected trainees on the day of the training.

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

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

    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 provided 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, with a fee of 500 won per 10 minutes thereafter)

인프런_디지털혁신기술교육_포스터 (1)

2월

25일

챌린지 시작일

2026년 2월 25일 PM 03:00

챌린지 종료일

2026년 3월 26일 PM 02:30

챌린지 커리큘럼

All

14 lectures

챌린지에서 배워요

  • Automation system using n8n

  • From data collection to analysis with Gemini CLI

  • Multimodal LLM Practice: From RAG Basics to Agent Implementation

Recommended for
these people

Who is this course right for?

  • General public, SMEs, startups, and aspiring entrepreneurs who need practical AI application training.

  • Those who want to learn AI through hands-on practice with offline, real-time learning.

Reviews

All

1 reviews

5.0

1 reviews

  • calculator님의 프로필 이미지
    calculator

    Reviews 191

    ∙

    Average Rating 4.9

    5

    0% enrolled

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

    Free