AI Pioneers Ages 16–18

Launchpad: AI Capstone & Demo Day

Stökkpallurinn: Lokaverkefni í gervigreind

A real AI product, demoed to the industry.

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What they'll learn

  • Scope and ship a product Take a real AI product idea from scope to a finished, shipped build.
  • Research that changes the plan Do user research and let what they learn reshape the product.
  • Pitch it live Present problem, solution and a live demo to a real audience on Demo Day.
  • A portfolio that opens doors Walk away with a portfolio, CV and GitHub strong enough for universities and employers.
Final project

Demo Day: a live demonstration and pitch of an AI product before industry guests.

The 13-week journey

  1. Sprint 1 — Define and scope

    An AI problem worth solving, pressure-tested by peers; lightweight user interviews; the written spec — and the mentor match with an industry or university mentor. Milestone: a spec a mentor signed off on.

  2. Sprint 2 — The build

    Heads-down execution with weekly milestone demos and mentor check-ins; the discipline taught here is cutting — every project sheds features to make the date. Milestone: a working version in front of a real user.

  3. Sprint 3 — Polish and pitch

    User feedback folded in; an evaluation of the AI's quality and limits; the pitch built and rehearsed to broadcast standard; portfolio and CV finalised; dress rehearsal. Milestone: pitch-ready.

  4. Week 13 — Demo Day

    Invited guests from Icelandic tech and universities, live demos, a printed program, a photographer — the school's biggest night of the year.

What we cover

Every topic, unit by unit — so you know exactly what your child builds and learns.

01

Define and scope

  • Choosing an AI problem worth solving
  • Lightweight user interviews
  • Writing the project spec
  • The mentor match — an industry or university mentor
02

The build

  • Heads-down execution against weekly milestones
  • Mentor check-ins and milestone demos
  • Cutting scope to protect the date
  • A working version in front of a real user
03

Polish and pitch

  • Folding in user feedback
  • Evaluating the AI's quality and limits
  • Building and rehearsing the pitch
  • Finalising portfolio, CV and GitHub
04

Demo Day

  • Dress rehearsal before the younger bands
  • Live demo and pitch: problem, solution, demo
  • Presenting to invited guests from Icelandic tech and universities
What they show off

Demo Day itself — a live AI product demonstration and pitch before industry guests, plus the portfolio, CV and GitHub that leave with them.

The summit of the AI ladder and the school’s flagship public event. One mentored AI project per student — an app, an agent, a model, a tool — built for real users, pitched for real stakes, and demonstrated at a Demo Day with invited guests from Iceland’s tech industry. The course that markets the whole school downward.

The hooks

Teen hook: “I built a real AI product, with a mentor, and presented it to actual tech companies.” Parent hook: “An industry demo day at seventeen. The room does the networking for them.”

Who it’s for

Graduates of AI Engineer (or the agent/ML track) with an idea — or the appetite to find one in week one. Thrives: finishers, founders-in-waiting, and the quietly excellent who need one room full of the right people.

Outcomes — by the end, students can

Scope a real AI project honestly; run lightweight user research and let it change the plan; execute against milestones with a mentor; evaluate the AI’s quality and limits; pitch the problem-solution-demo arc live; present a professional portfolio and map their next step.

Tools & compliance

Whatever the project demands, within the school’s managed accounts and API framework; mentor agreements and guest-event consent at enrollment; student IP stays with the student — stated in writing.

Where this course fits

Requires AI Engineer (or an agent/ML track course). The capstone of the whole school.

Parent questions

What if the project fails?

Shipping something honest and small beats promising something grand — that judgment is the curriculum, and mentors enforce it.

Who are the mentors and guests?

Engineers and founders from the local industry and universities; the guest list grows with each cohort.

Who owns what they build?

The student, in writing.

The first lesson is a free trial.

Book a no-commitment trial — pay nothing if it's not a fit.

Book a free trial