Coltie Grow · Summer ’26

AI done right for college applications

An application-gated, 9-week experiential AI boot camp for high school students — no prior coding experience required. Build genuine AI literacy, earn career clarity backed by data, and graduate with a complete Admissions Tech Stack.

Apply now
AI done right for *college* applications

Two cohorts

US cohort

Receive 9 weeks of live AI-powered instruction, complete a career clarity track using the Holland Code and Airtable, build a 6-concept AI Literacy Portfolio, and much more.

India cohort

An expedited schedule on weekends (Saturday + Sunday). Students can also attend guest speakers on Thursday at 9:30 PM IST alongside the other Grow cohorts.

How it works

Career Clarity Track

The career clarity sequence runs across the first five weeks and produces outputs most students don’t get until their second year of university.

  1. Step 1 · Week 1

    Holland Code assessment

    Identify your work-personality type (RIASEC) and the career environments where you’ll genuinely thrive — not just the ones that sound impressive on a CV.

  2. Step 2 · Weeks 2–3

    Career research in Airtable

    Build a structured database of six career paths aligned with your Holland Code, including projected salaries at 5, 10, and 15 years and a skills-gap analysis.

  3. Step 3 · Week 3

    Weighted university rubric

    Score 8+ universities against 8 criteria you define (program quality, tuition, cost of living, work rights, placement), weighted by what matters to your family.

  4. Step 4 · Weeks 7–8

    Admissions strategy roadmap

    A written roadmap: your top 6 schools, your application strategy for each, and a timeline accounting for every deadline.

AI Literacy Track

Six AI concepts taught just-in-time — each at the precise moment it becomes applicable, so students learn AI by doing, for a real purpose. By Week 9, every student holds an AI Literacy Portfolio: a credential for university applications and future employers.

Week 1

AI ethics & responsible use

What AI is, what it isn’t, and the ethical responsibilities that come with using it — attribution, accountability, and augmentation.

Week 2

Large Language Models

How LLMs work, why they generate plausible-but-wrong text, and how to use them for research without outsourcing your judgment.

Week 3

Retrieval-Augmented Generation

The technique that makes AI reliable: retrieve from verified sources, then generate grounded in them. When to trust output and when to be skeptical.

Week 4

Prompt engineering — FARMEN

A structured methodology for prompts that produce consistent, high-quality outputs: Frame, Assign, Request, Map, Evaluate, and refine.

Weeks 5–9

Applied projects

Each concept is applied to identity projects that reflect who you are — with your work, and your voice, kept entirely your own.

Outcome

AI Literacy Portfolio

A documented, six-concept portfolio you can show universities and employers as proof of genuine AI literacy.

Limited seats. Application-gated.

Apply to Coltie Grow — open to high school students globally, reviewed on a rolling basis.

Apply now