Jeju·AWS Global Space Bootcamp 2026

Jeju RISE·AWS Global Space Bootcamp

A Bold First Step for "Jeju, an Island of Innovation Where Talent Gathers"

In partnership with:

Cheju Halla University Jeju Special Self-Governing Province AWS

Application

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About the Program

This program is part of the Regional Innovation System and Education (RISE) initiative, designed to solve Jeju's 'high-skill mismatch' by cultivating global core talents. We are building a sustainable innovation ecosystem by utilizing practical, project-based education leveraging satellite, drone, and AI technology.

50

Participants

A select cohort of 50 students from Jeju, mainland Korea, and around the world.

7

Week Program

A comprehensive 7-week program combining online foundational learning with intensive on-site training in Jeju.

4

Month Journey

From selection in November 2025 to the Global Forum finale on February 4, 2026.

The 7-Week Journey

Our 7-week hybrid program is an intensive journey from foundational knowledge to practical, project-based mastery. Explore the full curriculum below by selecting a phase.

1

Nov 2025

Promotion & Selection

2

Dec 2025

Online Foundation

3

Jan 2026

Offline PBL in Jeju

4

Feb 4, 2026

Global Forum

Weeks 1-2: Online Foundation

Introduction to Aerospace Domain / Technical Foundations (Python, AWS). Lays the groundwork with live online lectures (VODs provided) covering the fundamentals of the space industry, AWS Cloud, and startups.

Date Time Topic Instructor
Tuesday, December 23 Morning
Program Orientation / Introduction to Python
  • 1-1. What is Programming?
  • 1-2. Why Learn Python?
  • 1-3. What is Python?
  • 1-4. Introduction to Practice Environment (Colab) and Account Linking
 Park Jaeman / Yoo Moonhee
Tuesday, December 23 Afternoon
Python Basics - Data Types & Operations / Container Data Types / Control Statements / Functions / Python Applications
  • 2. Python Basics - Data Types & Operations (What are data types, variables, numeric/string data types, arithmetic/comparison/logical operations, practice)
  • 3. Python Basics - Container Data Types (List, Tuple, Dictionary, Set, practice)
  • 4. Python Basics - Control Statements (What are control statements, if conditionals, for/while loops, practice)
  • 5. Functions (What are functions, parameters/return values, practice)
  • 6. Python Applications (Type conversion, list functions, user input/output, simple projects)
 Yoo Moonhee
Friday, December 26 Morning
Satellite Data & AI Technology
  • Business trends in the satellite sector
  • Geometry technology in the satellite industry
  • Precision matching technology in geometric correction
  • Satellite image AI
 Choi Beomgyu
Friday, December 26 Afternoon
Jeju-based Geographic Data / Weather Information / Remote Sensing Data Utilization
  • Understanding Jeju-based geographic data (QGIS introduction, data visualization, geometric query)
  • Understanding weather information and attribute combination methods (weather information utilization, Geocoding, attribute combination)
  • Learning remote sensing data utilization methods (USGS, Copernicus ID usage, Histogram Stretch, vegetation index, land cover classification, Google Earth data collection, practice, practice assignment explanation)
 Lee Changgyu
Tuesday, December 30 Morning
AWS Cloud Fundamentals / Network / Compute
  • Cloud concepts and understanding
  • Network - Amazon VPC (VPC creation, VPC endpoints)
  • Compute - Amazon EC2 (Web server instance launch, auto-scaling web service deployment, web service verification and testing)
 AWS Proserve or Choi Bohyun
Tuesday, December 30 Afternoon
Database / Storage / Nara Space Startup Special Lecture
  • Database (VPC security group creation, RDS instance creation, RDS credential storage, web app server and RDS connection, RDS management functions)
  • Storage - Amazon S3 (Bucket creation, object addition/viewing, static website hosting, object movement, bucket versioning activation)
  • Nara Space Startup Special Lecture (4-5 PM) - Space Startup Survival Story
 AWS Proserve or Choi Bohyun / Nara Space Director Kim Minsik
Friday, January 2 Morning
Space Convergence Business Model
  • Business model discovery ideation through understanding space convergence industry business
  • Sustainable space business
  • Space industry business models
  • Space tourism industry understanding
 Hong Mijung
Friday, January 2 Afternoon
Types and Applications of Various Space Data / Basic Technology of Satellite Space Data / Data Collection, Processing, and Analysis
  • Types and application purposes of various space data (space data types and characteristics, data analysis application demos - space debris data, space weather data, KMA climate data)
  • Understanding basic technology of satellite space data (data formats, basic preprocessing practice, Python-based basic preprocessing practice)
  • Data collection, processing, and analysis (understanding space debris data, practice: space debris data visualization, SPARK dataset utilization, practice assignment explanation)
 Hwang Kyunghwa

Week 3: Offline Kick-off @ Jeju

Stanford d.school Design Thinking Workshop. Focuses on problem definition and project planning based on Stanford d.school methodology, with instruction from the Stanford d.school team.

Basic Training

Date Time Topic Instructor
Monday Morning
2026 Jeju RISE AWS Global Space Bootcamp Opening Ceremony
Prof. Young Joon Lee
Monday Afternoon
Intro to Space Work
  • Students learn about the past, present and future of work opportunities in space.
 Miki Sode // Christine Jun & Seamus Yu Harte
Tuesday Morning
Intro to Space Work in Korea
  • Students learn about the past, present and future of work opportunities in space for Korea and how to apply design towards the 5 core themes and leveraging AWS technologies.
 Miki Sode // Christine Jun & Seamus Yu Harte
Tuesday Afternoon
Intro to Crew & Mission Design
  • Students learn how to design crews & missions for success.
 Miki Sode // Christine Jun & Seamus Yu Harte

Advanced Training

Date Time Topic Instructor
Wednesday Morning
Individual Assessment
  • Students participate in rapid design and technical skills assessment to better understand themselves and each other in order to design a crew and mission for success.
 Christine Jun & Seamus Yu Harte
Wednesday Afternoon
Crew Formation
  • Students form crews based on the assessment with a goal of making all teams equally capable of success.
 Christine Jun & Seamus Yu Harte

Practice Pool

Date Time Topic Instructor
Thursday Morning
Space Race
  • Crews participate in a timed design challenge to test out their individual and collective design abilities.
 Christine Jun & Seamus Yu Harte
Thursday Afternoon
Press Conference
  • Crews participate in a simulated press conference to practice their ability to properly and persuasively leverage storytelling in science communication.
 Christine Jun & Seamus Yu Harte

Amazon Working Backwards Workshop

Date Time Topic Instructor
Friday Morning
Amazon Working Backwards Workshop I
  • Amazon's reverse culture and 16 leadership principles
  • Amazon's problem-solving methodology
  • Listen: Amazon's persona setting method
 Park Jaeman / Yoo Moonhee
Friday Afternoon
Amazon Working Backwards Workshop II
  • Amazon's market approach
  • Define: Today Statement
  • Solution: 8 ideas & Consolidation
  • Refine: FAQ / PR / Visuals
  • Presentation and sharing
 Park Jaeman / Yoo Moonhee

Week 4: AWS-based Technologies & Project-Based Learning

Participants will engage in practical PBL focused on AWS cloud technologies, guided by AWS expert instructors.

Date Time Topic Instructor
Monday, January 12 Morning
Amazon QuickSight-based Multi-layer Data Analysis Introduction
  • Amazon QuickSight overview
  • Characteristics of code-free data experiment environment
  • Question·Experiment·Summary-centered analysis approach
  • Understanding multi-layer data structure (space/orbit data, atmospheric/weather data, ground/infrastructure data, human/service data)
  • Data Asset and Experiment concepts
 AWS Proserve
Monday, January 12 Afternoon
Experiment Environment Setup & First Experiment
  • Register pre-prepared S3 dataset as QuickSight Data Asset
  • Check data field structure and meaning
  • Create first Experiment
  • Execute basic prompts and interpret results
 AWS Proserve
Tuesday, January 13 Morning
Understanding How to Question Data
  • Types of data questions (summary questions, comparison questions, pattern exploration questions)
  • Good prompts vs ambiguous prompts
  • Methods to narrow question scope
 AWS Proserve
Tuesday, January 13 Afternoon
Prompt Practice-based Data Exploration
  • Date-based summary Experiment
  • Region-based summary Experiment
  • "Sections with large changes" automatic exploration Experiment
  • Compare results by question method
 AWS Proserve
Wednesday, January 14 Morning
Understanding Multi-layer Data & Relationship Question Design
  • Multi-layer data combination concept
  • Relationship between space/weather data and ground data
  • Impact of environmental factors on human/service data
  • Expressing Layer relationships as questions
  • "Differences by conditions" question design
 AWS Proserve
Wednesday, January 14 Afternoon
Multi-layer Data Combination Experiment
  • Weather + Ground data combination Experiment
  • "Differences by conditions" prompt practice
  • Result comparison and pattern interpretation
 AWS Proserve
Thursday, January 15 Morning
Experiment Result Organization & Interpretation
  • Understanding Experiment result structure
  • Methods to compare and summarize results
  • Methods to explain numerical results in sentences
 AWS Proserve
Thursday, January 15 Afternoon
Creating Explainable Results & Sharing
  • Generate experiment result report
  • Organize scenario-based comparison experiments
  • Practice writing result explanation sentences
 AWS Proserve
Friday, January 16 Morning
Mini Hackathon & Presentation
  • Problem definition methods
  • Select multi-layer data to use
  • Experiment design and prompt composition
 AWS Proserve
Friday, January 16 Afternoon
Team Experiment Demo & Result Presentation
  • Team QuickSight experiment demo
  • Result interpretation and explanation presentation
  • Feedback and discussion
 AWS Proserve

Week 5: Aerospace Data Analysis & Advanced Project Work

Satellite Data-Based Energy & Carbon Monitoring. Hands-on labs covering EO data analysis, building an energy monitoring dashboard, and AWS data pipelines.

Date Time Topic Instructor
Monday, January 19 Morning
Operational Data Collection & KPI Dashboard Setup / RE100-based Energy Efficiency Analysis
  • Operational data collection & KPI dashboard setup
  • RE100-based energy efficiency analysis
 AWS Proserve
Monday, January 19 Afternoon
AWS-related Project Topic Selection / Team Member Role and Responsibility Distribution
  • AWS-related project topic selection
  • Team member role and responsibility distribution
 AWS Proserve
Tuesday, January 20 Morning
Project Plan Writing / Project Mentor Review and Feedback
  • Project plan writing
  • Project mentor review and feedback
 AWS Proserve
Tuesday, January 20 Afternoon
Technical Architecture Design for Project / Architecture Design Document Writing and Feedback
  • Technical architecture design for project
  • Architecture design document writing and feedback
 AWS Proserve
Wednesday, January 21 Morning
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 AWS Proserve
Wednesday, January 21 Afternoon
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 AWS Proserve
Thursday, January 22 Morning
Team Project Progress / Mid-term Report and Feedback
  • Team project progress
  • Mid-term report and feedback
 AWS Proserve
Thursday, January 22 Afternoon
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 AWS Proserve
Friday, January 23 Morning
Presentation Rehearsal & Pitching Mentoring
  • Presentation rehearsal & pitching mentoring
 AWS Proserve
Friday, January 23 Afternoon
Presentation and Sharing / Expert Feedback and Mentoring
  • Presentation and sharing
  • Expert feedback and mentoring
 AWS Proserve

Week 6: Project Completion & Expert Lectures from Industry Specialists

Finalizing projects and learning from domain experts in the aerospace industry.

Date Time Topic Instructor
Monday, January 26 Morning
Final Project (Hackathon) Guideline Introduction / Team Final Project Topic Selection / Customer Definition and Problem Definition
  • Final project (hackathon) guideline introduction
  • Team final project topic selection
  • Customer definition and problem definition
 Mentor Team
Monday, January 26 Afternoon
Project Scope Definition / Proposal Template and Writing Guide / Team Idea Proposal Writing / Team Idea Proposal Mentoring and Feedback
  • Project scope definition
  • Proposal template and writing guide
  • Team idea proposal writing
  • Team idea proposal mentoring and feedback
 Mentor Team
Tuesday, January 27 Morning
Team Proposal Finalization / Project Implementation Plan and Architecture Design / AWS or Satellite Data Utilization Plan / Team Technical Feasibility Review
  • Team proposal finalization
  • Project implementation plan and architecture design
  • AWS or satellite data utilization plan
  • Team technical feasibility review
 Mentor Team
Tuesday, January 27 Afternoon
Architecture Mentoring and Feedback / Team Architecture Finalization
  • Architecture mentoring and feedback
  • Team architecture finalization
 Mentor Team
Wednesday, January 28 Morning
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 Mentor Team
Wednesday, January 28 Afternoon
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 Mentor Team
Thursday, January 29 Morning
Team Project Progress / Mid-term Report and Feedback
  • Team project progress
  • Mid-term report and feedback
 Mentor Team
Thursday, January 29 Afternoon
Team Project Progress / Mentoring
  • Team project progress
  • Mentoring
 Mentor Team
Friday, January 30 Morning
Presentation Rehearsal & Pitching Mentoring
  • Presentation rehearsal & pitching mentoring
 Mentor Team
Friday, January 30 Afternoon
Presentation and Sharing / Expert Feedback and Mentoring
  • Presentation and sharing
  • Expert feedback and mentoring
 Mentor Team

Week 7: Jeju AWS Global Space Hackathon

Team project presentations, judging, and awards ceremony. Total prize pool: KRW 12 million.

The Grand Finale

"From Jeju to Earth"

February 4, 2026

The program's grand finale is more than a project showcase; it's a festival declaring Jeju's vision as an 'Innovation Hub' to the world. Its goals are project demos, global talent matching, and securing momentum for the future.

Key Components

  • 👥
    Panel Discussion "From Talent Hub to Innovation Hub: How Will Jeju Build a Sustainable Ecosystem?"
  • 🏆
    Judging Panel Leading VCs, accelerators, partner company executives, and Jeju policy experts.
  • 🔗
    Opportunity Linkage PoC, commercialization, and recruitment opportunities via Jeju CCEI & AWS Global Network.
  • 🤝
    Talent Networking Reception A full-day event with a tech demo hall, awards, and in-depth interviews.

Keynote Candidate

Philip Metzger, PhD

Director, Stephen W. Hawking Center for Microgravity Research and Education

Research Professor, Planetary Science, Florida Space Institute, University of Central Florida

"The prospects for extending civilization beyond planet Earth."

Insights on how AI and falling launch costs will drive the space economy.

Bootcamp Schedule

Live Online Sessions

December 22, 2025 (Mon) – January 2, 2026 (Fri)
* Recorded lectures will be available

On-site Training in Jeju

January 5, 2026 (Mon) – February 4, 2026 (Wed)

Space Hackathon

February 2, 2026 (Mon) – February 4, 2026 (Wed)

Application Period

November 24 – December 12, 2025

Eligibility

  • 50 university students, including international students, with an interest in the aerospace sector
  • Open to undergraduate and graduate students from all majors
  • Not eligible: incoming freshmen (before enrollment), students on leave of absence, graduates, or students awaiting graduation
  • Personal laptop required
  • Must be able to participate in 100% of on-site sessions

Six Key Features

This program is built on six core pillars to deliver a world-class experience, blending top-tier education with real-world, practical application.

⭐

World-Class Methodology

Combines Stanford d.school's 'Design Thinking' and Minerva University's 'Habits of Mind (HCs)'.

🌊

'Learn-cation' Experience

An immersive program in Jeju's beautiful environment to maximize creativity and focus.

💻

AWS 'Mini Space Data Hub'

Hands-on experience analyzing real satellite and aerial data using AWS cloud technology.

📊

Practical Project-Based Learning

Engage in solving real data challenges provided by local industries and companies.

🌐

'Jeju Space & Aviation Data Consortium'

Launches a consortium to promote joint R&D and build a sustainable collaborative model.

🎓

Global Showcase & Talent Matching

A final forum to support commercialization and recruitment with leading VCs and companies.

Participant Benefits

  • Design Thinking Workshop conducted by the Stanford d.school team
  • "Learn-cation" program combining learning and relaxation
  • Cloud training and mentoring provided by AWS consultants
  • Hands-on satellite/aviation data analysis using QGIS, AWS Open Registry, and more
  • Participation in the Jeju AWS Global Space Hackathon (total prize pool: KRW 12 million)
  • Accommodation and meals in Jeju provided (airfare not included)

Our Partners

This program is made possible by a strong collaboration between public, private, and academic leaders.

Hosted By

Cheju Halla University

Jeju Special Self-Governing Province

AWS

Organized By

Cheju Halla University RISE Center

Jeju AWS Global Space Program

hello.jeju.hackathon@gmail.com

© 2025. Global Space Challenge Hackathon Team all rights reserved.

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