Keimyung University
Summer immersion bootcamp — AI talent for advanced industries
About the program
A short lecture gets you as far as "I tried it." Getting to "I built it" means going all the way through defining a problem, building it, and demoing it in front of other people. The bootcamp compressed that whole arc into 15 days. It started with AI literacy and prompting, moved into AI agents and vibe coding, and gave the last five days entirely to team PBL projects. Most participants were not majoring in the field, so we cut theory and pushed the hands-on share as high as it would go. At the final showcase every team demoed a service that actually ran — a scheduler for academic calendars, a manual chatbot that answers from internal knowledge — each starting from a problem the team had picked itself. Judging, awards, and the closing ceremony ended the course.
What we ran
A 15-day immersion course in three stages — foundations, advanced, project — with the last five days given entirely to team projects
How the course was designed
Built for non-majors: minimal theory, and something made by hand in every session
A project stage inside the course, so it ends with a working product rather than a list of tools learned
Exercises drawn from tasks companies actually asked for, not invented examples
[Phase 1] Foundations
AI literacy and baseline assessment
How generative AI works, and where each participant is starting from
Prompt engineering
Designing requests with role, context, and examples, and writing prompts for real tasks
Document and workflow automation
Automating reports, decks, and table work, and gathering evidence with deep research
Python basics and data analysis
From reading and fixing code to analyzing and visualizing public data
[Phase 2] Advanced work and AI agents
Generative AI principles and multimodal
Extending the range into image and video generation
AI agents: concepts and practice
Hands-on with agent structures that use tools and act on their own
Introduction to vibe coding
Building a service from plain-language instructions alone
Industry assignments and team formation
Solving industry-style problems, then settling project teams and topics
[Phase 3] Project-based learning
Defining the problem and planning
Narrowing each team's problem and writing it up with standard PRD and six-pager templates
Building and mid-point review
Building a prototype and raising its quality with facilitator feedback
Final showcase
Team demos and presentations, judging, awards for the top teams, and the closing ceremony
How it ran
Three hours a day for 15 days — 45 hours in total
A dedicated facilitator on site at all times, with instructors supporting practice too, keeping participants on track to finish
Paid AI accounts for every participant during the course, so practice ran in a real environment rather than a free trial
Attendance, progress, and learning logs managed in our own LMS, with recordings of every session
Video from the room
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