(Free Live) AI Agent Development Using LangGraph
'AI Practical Engineering' covering everything from AI-based automation design to Claude-utilized workflows and LangGraph agent development
6개 수업 학습
라이브 1 회
성취의 증표, 수료증을 발급해요.
무제한 복습, 내 것으로 만들어요.
지식공유자와 멘토링 혜택!
digitalopenlab님과 함께해요!
1,260
Learners
12
Reviews
4.9
Rating
7
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.
Co-instructor
Learn the basics 'Online' + Practical hands-on training 'Offline'!
We have prepared popular courses from Inflearn
so that you can take them as offline classes at Digital Open Lab!
Learning efficiency will be much higher if you meet in person to ask questions and practice hands-on💪
If you are interested in developing AI Agents using LangGraph
Don't miss this opportunity and apply now! 👉
📍Information
Schedule:
- Online Live: 26.05.07 18:00~21:00
- Offline Training: 26.05.14 13:00~17:00
Location:
- Online Live: Live participation link within the curriculum below
- Offline: Pangyo Startup Campus, Building 1, 3rd Floor
Information:
- This will be conducted in both online and offline formats; if you wish to apply for the offline session, please indicate so in the survey.
- You can check your certificate of completion and the live recording within 3 days after the class ends.
Topic Introduction
Knowledge Sharer: Pandas Studio
Course 6. AI Agent Development Using LangGraph
Part 1. [Online Live] LLM Basics and Prompt Engineering (3 hours)
LLM Basics and Prompt Engineering
Building RAG Pipelines
Part 2. [Offline Practice] Agent Construction Practice (4 hours)
Tool integration and external API utilization
Designing ReAct Agents
LangGraph Workflow Automation
How to Apply
If you would like 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
Bringing your own laptop is mandatory for this training.
Education cancellation is possible up to two days before the training date (must contact the person in charge), and 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 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 more than 80% of the daily training hours and participating in the satisfaction survey,
Certificates of completion will be delivered 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)
5월
6일
챌린지 시작일
2026년 5월 6일 오후 03:00
챌린지 종료일
2026년 5월 14일 오후 02:30
챌린지 커리큘럼
All
7 lectures ∙ (3hr 59min)
Course Materials:
챌린지에서 배워요
Intelligent Route LLM Implementation and Optimization Techniques
Designing AI Workflows Using LangGraph
Recommended for
these people
Who is this course right for?
Those who want to create AI agents that can be immediately deployed in practice.
Those who want to learn workflow system architecture that organically connects LLMs and tools.
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취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.