FOUNDATIONS TRACK

AI SCHOLARS

Online AI program for high school students, year-round and in summer. No experience needed.

Learn Python, machine learning and modern AI from researchers, then build a real group project. Do it over 10 weeks on weekends, or as a 2-week summer or winter intensive.

GRADES 9–12

NO EXPERIENCE NEEDED

ONLINE VIA ZOOM

25 HOURS · 10 OR 2 WEEKS

OUTCOMES

What you'll leave with

✓

A group AI project built with 3–4 peers

✓

A personalized mentor evaluation

✓

Eligibility for University of California, San Diego Extended Studies credit

✓

A GitHub portfolio piece and completion certificate


Structure and schedule

25 hours over 10 weeks · group classes at a 5:1 student-to-mentor ratio · fully online via Zoom.


Who it's for

Grades 9–12, no coding experience needed. The program starts from Python fundamentals and ends in a group AI project.


Two ways to do AI Scholars

Weekend program: 25 hours over 10 weeks, one 2.5-hour class each Sunday. Runs in fall, winter and spring.

Intensive: 25 hours over 2 weeks of weekday classes, in the summer and winter breaks.

Both formats teach the same curriculum at the same 5:1 ratio, end in the same group project and carry the same UCSD Extended Studies credit eligibility.

The curriculum

Ten weeks, three phases.


STAGE 1

Weeks 1–2 · Foundations

Python for AI, and how to run a data-science project end to end.


STAGE 2

Weeks 3–5 · Core AI

Regression, neural networks and natural language processing.


STAGE 3

Weeks 6–10 · Advanced topics and your project

CNNs, deep learning and sentiment analysis — then build your project.

YOUR MENTORS

Who you'll work with

PhD researchers at the institutions defining modern AI — and practitioners at the labs and companies building it. Classes run at a 5:1 student-to-mentor ratio.


College credit eligibility

Students who successfully complete a high school program are eligible for post-baccalaureate credit through University of California, San Diego Extended Studies.

STUDENT OUTCOMES

Student Outcomes and Results

The research is the point, but it isn't the end of it. Here's where the work goes after the program ends. Figures are from Veritas AI's internal data.

79%

of student papers submitted to peer-reviewed journals are accepted for publication

4.5x

more likely to be admitted — our alumni were accepted at 36%, against an 8% average at the same universities

Regeneron ISEF

Veritas AI research presented at the world’s largest pre-college science fair

AI Scholars FAQs

Not sure this is the right fit?

AI Accelerator

Independent research paper for a college journal or national competition.

AI Fellowship

An independent project with 15 one-on-one sessions and publication support.

Compare all programs

Every track side by side — prerequisites, structure, and what you leave with.

Ready to build something real?

Applications are reviewed on a rolling basis.