[Digital Open Lab × Inflearn × YBM] Strengthening AI Agent Workflow Automation Skills (LangGraph-Based)
Discover the core fundamentals of AI Agent development first through a free online live session! Learn how to use LangChain, prompt engineering, and RAG pipeline development centered around LLMs and RAG, while building a solid foundation in AI Agent development.
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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
🎁 Build your foundation through free online live sessions, then tackle hands-on implementation offline!
Digital Open Lab, Inflearn, YBM have teamed up to
prepare a training program where you can experience AI Agent development step by step, from the basics through hands-on practice!
By meeting in person, asking questions, and learning through hands-on practice, you’ll learn much more effectively💪
In the online live session, you will learn the core concepts of AI agent development, and
in the in-person workshop, you will build a LangGraph-based AI agent yourself and learn how to apply it in practice.
If you are interested in developing AI agents with LangGraph
Don’t miss this opportunity—sign up now! 👉
📍 Information
Schedule
Online live: 26.09.02(Wed) 18:00–20:00
Offline training: 26.09.09(Wed) 13:00–18:00
Location
Online live session: Live participation link in the curriculum below
Offline: Digital Open Lab (Pangyo Startup Campus Building 1, 3rd Floor)
Topic Introduction
Knowledge Provider: Pandas Studio
Course 5. Strengthening AI Agent Workflow Automation Skills (LangGraph-Based)
Part 1. [Live Online] AI Agent Development Basics (LLM · RAG) (2 hours)
LLM Utilization Based on LangChain and Prompt Engineering
RAG system components and pipeline construction
Understanding the core concepts for AI Agent development
Part 2. [Offline Hands-on Practice] AI Agent Implementation and LangGraph Practice (5 hours)
Tool Integration and External API Utilization
ReAct Agent Implementation and Step-by-Step Reasoning Practice
LangGraph-Based AI Agent Development
Designing Workflows with Conditional Branching, Loops, and Parallel Processing
Hands-on AI Workflow Automation Project
Recommended for
✔️ Developers and practitioners just getting started with AI Agent development
✔️ Those who want to systematically learn LangChain, RAG, and LangGraph
✔️ Those interested in automating tasks and developing Agents using generative AI
✔️ Those who want to develop practical skills by implementing AI Agents themselves
Learning Outcomes
✔️ Understand the key concepts of LLM- and RAG-based AI Agent development
✔️ Learn how to use LangChain and prompt engineering
✔️ Understand how to design and utilize RAG pipelines
✔️ Understand the learning path that expands into LangGraph-based AI Agent development
How to apply
The application methods for the online live sessions and offline hands-on practice are different, so please be sure to check the information below!
👨🏫 In-person practice
Application available
※ Registration available only on the Digital Open Lab page
Training location: Pangyo Startup Campus Building 1, 3rd floor
Important Information
You must bring your own laptop to this course.
Training cancellations are allowed up to two days before the training date (contact with the person in charge is required). Same-day cancellations, unexcused absences, or leaving early will result in restrictions on applying for future 2026 Digital Open Lab (Pangyo) training.
Expert consultations will be provided during the training day to two randomly selected trainees.
When applying for the training, please indicate whether you would like to receive consulting.
For two randomly selected individuals among those who wish to participate, approximately 10 minutes after the training sessionюцца
Consulting is provided.
Completion will be granted to participants who attend at least 80% of the daily training and participate in the satisfaction survey,
Certificates of completion will be provided only to those who apply after completing the training.
Parking space is limited, so we recommend using public transportation.
(Parking is free for up to 3 hours and 30 minutes; thereafter, it costs 500 won per 10 minutes.)
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2026년 9월 2일 오전 09:00
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2026년 9월 2일 오전 11:00
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3 lectures ∙ (2hr 8min)
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