[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.
Live sessions included
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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 with a free online live session, then take it all the way to hands-on implementation offline!
Digital Open Lab, Inflearn, YBM have come together to prepare
an educational program where you can experience AI Agent development step by step, from the basics through hands-on practice!
Learning efficiency will be much higher when you meet in person, ask questions, and learn through hands-on practice💪
In the online live session, you will learn the core concepts of AI Agent development, and
in the offline workshop, you will implement 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
In-person 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. [Online Live] AI Agent Development Basics (LLM · RAG) (2 hours)
Using LLMs with LangChain and Prompt Engineering
RAG system components and pipeline construction
Understanding the core concepts for AI Agent development
Part 2. [Offline Practice] AI Agent Implementation and LangGraph Practice (5 hours)
Tool Integration and External API Utilization
Implementing a ReAct Agent and Practicing Step-by-Step Reasoning
LangGraph-Based AI Agent Development
Designing workflows with conditional branching, iteration, and parallel processing
AI Workflow Automation Project Practice
Recommended for
✔️ Developers and practitioners just starting out in AI Agent development
✔️ Those who want to systematically learn LangChain, RAG, and LangGraph
✔️ Those interested in workflow automation and Agent development using generative AI
✔️ Those who want to develop practical skills by implementing AI Agents themselves
Learning Outcomes
✔️ Understanding the core 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 progression toward developing AI Agents based on LangGraph
How to apply
The application methods for the online live sessions and offline workshops are different, so please be sure to check the information below!
👨🏫 In-Person Practice
Registration available
※ Registration available only on the Digital Open Lab page
Training location: Pangyo Startup Campus Building 1, 3rd floor
Important Notes
You must bring your own laptop to this training.
Training cancellations are allowed up to two days before the training date (contact with the person in charge is required). If you cancel on the day of the training, are absent without notice, or leave early,
you may be restricted from applying for future 2026 Digital Open Lab (Pangyo) training programs.Expert consultations will be provided during the training day to two trainees selected by random draw.
When applying for the training, please select whether you would like to receive consulting.
For two randomly selected participants among those who wish to receive it, for approximately 10 minutes after the training session
Consulting is provided.
Completion will be granted to those who participate in at least 80% of the daily training and complete the satisfaction survey,
Certificates of completion will be provided only to applicants 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; thereafter, 500 won per 10 minutes)
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