The AI Advantage Bootcamp.
Seven days where college students, master’s students, and early-career professionals launch a live product and build the agency, taste, and craft that set them apart as AI reshapes work.
- DatesDec 27, 2026 to Jan 2, 2027
- WhereGuangzhou, in person
- WhoCollege and early career

Four gaps, seven days.
What separates a strong candidate when AI is part of the work, and the day of the week that trains each.
- The gap
Choosing what to build
Coursework hands you the problem; work rarely does.
Where the week closes itDays 1 and 2 · Problem and users
Each participant commits to a problem, interviews users, and writes a mini-PRD with prioritized features.
- The gap
Building with AI, not just prompting it
Knowing a tool’s name is not the same as shipping with it.
Where the week closes itDay 3 · Build with AI coding tools
Participants build with AI coding tools and make every decision.
- The gap
Finishing under real constraints
Projects without users, prices, or deadlines stay as drafts.
Where the week closes itDays 4 and 5 · Brand, launch, freeze
A name, a landing page, and an advertisement; then the product goes live, gets priced, and finds its first users.
- The gap
Telling the story to an employer
Interviews test how you explain what you built and why.
Where the week closes itDays 6 and 7 · Story and demo day
Pitch and interview framing, the target-job build, a full rehearsal, then a live pitch to founders and operators.
With AI, a first version of almost anything comes together faster. Knowing what to build, and finishing it, sets a new hire apart.
In one hands-on week, participants learn how a product is made, how to use AI tools in real work, and how to keep building on their own.
- 01How a product is made
From choosing a problem and interviewing users to launch, pricing, and demo day.
- 02Using AI tools in real work
More than twenty tools, each learned on the participant’s own product, with every decision theirs.
- 03Building on their own, next time
The same method carries into a first role, a side project, or a course assignment.
What participants leave with.
Built for internship and job applications, and for a first role where AI is part of the work.
- 01A live AI product
Launched during the week, with real users, and still running afterward.
- 02A role-specific project
A tool built for the role each participant is applying to.
- 03A practiced presentation
How to explain what they built, practiced on stage at demo day.
- 04A portfolio
Code on GitHub and a personal website that presents the work.
Seven days, from problem to demo day.
Pre-work arrives before day one. Two company visits and guest firesides run across the build days.
- Day 01Problem selection
Feedback on pre-work, then each participant commits to a problem.
- Day 02User research and PRD
Interviews with users and a mini-PRD with prioritized features.
- Day 03Build with AI coding tools
Participants build with AI coding tools and make every decision.
- Day 04Brand, landing page, ad
A name, a design system, a landing page, and an advertisement.
- Day 05Launch, pricing, build freeze
The product goes live, gets priced, and finds its first users.
- Day 06Story workshop and target-job build
Pitch and interview framing, the target-job build, and a full rehearsal.
- Day 07Demo day
A live pitch to founders and operators, with awards.
More than twenty AI tools, each learned on the participant’s own product
ChatGPT
Claude
Gemini
DeepSeek
Perplexity
Kimi Code
Doubao 豆包
GitHub
Vercel
Figma
Canva
Ideogram
Midjourney
Kling 可灵
HeyGen
ElevenLabs
Suno
CapCut 剪映
Notion
StripeOur team has walked the same path.
Arena’s team studied at and worked for the institutions students aim for, and teaches from that experience.
In her words
Education is moving from knowing the answer to knowing what’s worth building. That is the skill AI can’t hand a student, and the one we teach.
Jing Jing YangCo-founder, Arena School
Experience
Brown UniversityEconomics and Behavioral Decision Sciences
Microsoft AIAI research
AppleTechnology
DeloitteConsulting
Tsinghua UniversitySchwarzman Scholar
Kimi · Moonshot AIInternational growth
In his words
AI is changing work quickly. The habits students build now, in class and at home, are what carry over.
Phillip AnCo-founder, Arena School
Experience
CaltechComputer Science
McKinsey & CompanyManagement consulting
Goldman SachsInvestment banking
Harvard UniversityMBA and master’s in engineering
Y CombinatorCo-founded Homebase, the first YC-backed company from Vietnam; Forbes 30 Under 30
Tsinghua UniversitySchwarzman Scholar
Info session slides
Slides from our info session with Lux Scholar (in Chinese). Click through them here.
What’s included and how to apply.
Do I need to know how to code?
No coding experience is needed. Participants build with AI coding tools, learn how their product works, and make every decision along the way, which is how many teams now build at work.
What if I already have a job offer?
It is a good time to attend. Participants start the new role having already built and launched a product with AI, with a portfolio and a practiced way to explain their work.
What do I need to bring?
A laptop and a problem you care about. Pre-work arrives before day one, so you start the week ready to commit to that problem.
The same approach, run before.
- International School of Beijing · Summer 2026
A five-day student program
Over five days, students built working websites and apps with AI and presented them to judges, on the school’s campus with mentors in the room.
- Where
- International School of Beijing
- Judges
- Founders and operators from Harvard, Stanford, Y Combinator, and AI labs
- Bodley Academy · Hong Kong, summer 2025
Twenty students, five days
A five-day course designed and taught by Phillip An. Each student worked on one real problem they chose.
- Students
- 20
- Rating
- 9.5 / 10 Net Promoter Score
- Tsinghua University · Staff training
Schwarzman College
Training for staff built around their own work, with their judgment in charge. The same format as AI for Educators.
- Who
- Staff, Schwarzman College
- Format
- Hands-on workshop
- Taught by
- Phillip An
ChatGPT
Claude
DeepSeek
Kimi
Cursor
GitHub
Vercel
More than twenty tools across the week, each learned on the participant’s own product.
Request an invitation.
Tell us your school or current role. We reply within three working days with next steps.





