Pre-Med
Build clinical AI.
I built an AI agent that takes patient intake, summarizes for the attending, and flags red flags.
Inaugural Summer 2028 · Rolling Admissions Open
Senior engineer-led · Practicing PhDs co-teach · Selective admissions
Where the future doctor, lawyer, founder, engineer, and analyst learn to build the AI their profession will run on.
Other camps teach 2018-era machine learning. We teach the agentic AI your child’s actual career will require.
AI capstone build1:1 College admissions coaching
Not ready to apply? Talk to admissions →
AI College Prep · By the Numbers
A program built — every detail — around outcomes.
5
Pre-Professional Tracks
8:1
Student-to-Mentor Ratio
3 wks
Summer Intensive
90 hrs
Contact Instruction
100%
Practicing-Professional Taught
40-60%
Selective Admit Rate
1:1
Admissions Coaching
8 yrs
Production Engineering Lead
2028
Inaugural Cohort
The Problem
Other AI summer camps teach 2018-era machine learning. We teach the agentic AI your child’s profession will run on.
Look closely at the syllabus of any other AI summer program. Pneumonia classifiers. Iris-flower regressions. Twenty-five-hour group classes taught by graduate students. Useful, maybe — but not what your child will actually be using day-to-day in medicine, law, finance, or engineering.
Other AI summer camps
A capstone you have seen many times before
- Teach 2018-era ML pneumonia classifiers
- 25-hour group classes
- Grad student instructors
- Generic projects, no domain depth
AI College Prep Academy
A capstone built around your child’s actual future profession
- Build agentic AI for your specific profession
- 8:1 cohort with PhD practitioners
- Senior engineer + working professional co-teach
- Real domain projects (clinical intake, contract review, financial analysis)
What your child will build
For the future doctor, lawyer, founder, engineer, and analyst.
Five tracks. Five real agents. Each one ships to a personal URL by demo day, ready for your child to demo in their next college interview.
Pre-Law
Build legal AI.
I built an AI agent that reviews contracts and flags non-standard clauses.
Pre-Finance / Business
Build analyst AI.
I built an AI agent that pulls 10-Ks, computes financial ratios, and surfaces management's framing changes.
Pre-Engineering
Build hardware AI.
I built an AI agent that suggests CAD revisions based on tolerance constraints.
Pre-Entrepreneurship
Build founder AI.
I built an AI agent that runs my customer-discovery pipeline end-to-end.
The Curriculum
Three weeks. Five tracks. One agentic AI portfolio.
01
Foundations (shared)
All 5 tracks together. Build literacy with prompt engineering, RAG, and agent orchestration before splitting into domain work.
- Prompt engineering & evaluation harnesses
- Retrieval-augmented generation (vector DBs, chunking, hybrid search)
- Agent loops, tool use, and the Model Context Protocol
- Reading and debugging code with AI as a co-pilot
02
Domain Deep Dive (split by track)
Tracks split. Each cohort works with their PhD lead on domain-specific data, workflows, and the hard problems unique to that profession.
- Track-specific datasets and evaluation rubrics
- Domain-aware prompts, system instructions, and guardrails
- Compliance and ethics — medical, legal, financial framing
- Capstone scoping and architecture review with PhD lead
03
Build, Ship & College Admissions Coaching
Build the capstone, ship it to a public URL, and layer 1:1 college admissions coaching on top throughout the week.
- Capstone build sprints with daily code review
- Demo day rehearsal — slides, talk track, live demo polish
- 1:1 college essay coaching (3 sessions)
- Mock interview, narrative architecture, and Common App essay draft
The Admissions Wedge
Three coaching sessions. One Common App essay draft. Built around your child’s project.
Week 3 includes 3 one-on-one essay coaching sessions, a mock interview, a narrative architecture session, and a finished Common App essay draft built around your child’s capstone project. No other AI summer program offers this.
- 3 one-on-one essay coaching sessions
- Mock interview with feedback
- Narrative architecture session
- Finished Common App essay draft
Founder · Senior Engineer
Jinwoong Lee
Founder, AI College Prep Academy & CareMAR · Senior software engineer · 8 years building software
Jinwoong is a 2018 UC Berkeley graduate who has worked the rare double track that makes AI College Prep Academy possible: eight years building software at companies that include Amazon and Ring (he is currently a senior software engineer), alongside eleven years running his own private education practice that began while he was still an undergraduate. He also founded CareMAR (caremar.us), software that helps small care homes and hospice facilities replace paper-based medication tracking with an AI-assisted app — built specifically for owners who aren't technical, in an industry governed by strict healthcare-privacy rules. The CareMAR work has sharpened the exact skill the AI College Prep Academy curriculum is built around: teaching people who aren't engineers to use, evaluate, and ship AI in real-world work. Across more than eighty mentees he has placed students at Harvard, Stanford, Princeton, Columbia, Brown, Dartmouth, Cornell, UC Berkeley, UCLA, Northwestern, Georgia Tech, and other top-twenty universities, and his students have been admitted to selective summer programs including the Wharton M&TSI and have been district winners of the Congressional App Challenge.
Elsewhere I build
Each of our 5 tracks is co-taught by a working professional in that field — a medical resident, a law fellow, a finance analyst, a practicing engineer, or a startup founder — recruited from Northwestern Feinberg, UChicago Pritzker Law, Booth / Kellogg, McCormick School of Engineering, and the Chicago tech founder ecosystem.
8 yrs
Production software engineering
80+
Students placed at top universities
5
Tracks co-taught by working professionals
The 8:1 Cohort Promise
Eight students per track. Daily 1:1 attention.
8 students per track
Each track is intentionally small. With eight students per track, your child gets daily 1:1 attention from the mentor team — materially better staffing than any program in this category.
What your child walks away with
Eight outcomes. Every student. Every track.
Working AI agent
Live at a personal URL — your child can demo it in college interviews, internships, and parent-teacher nights.
Common App essay draft
Finished draft built around the capstone, ready for fall coaching and final revisions with your senior-year counselor.
Project portfolio
Documented codebase, demo video, and architecture writeup — every artifact a college admissions reader could verify.
Reusable AI workflows
10× productivity workflows for SAT/ACT prep, research papers, and college essay iteration — usable for years after the program.
Peer cohort
8 students per track. A lifelong professional network of similarly motivated, similarly serious peers.
PhD mentor relationship
Direct mentor in your child's target field — for advice, references, and introductions long after the program ends.
Letter of recommendation
When performance warrants. Personal, specific, and written by a working professional — not a templated form letter.
Mentor introductions
Direct intros to working professionals in your child's target field — beyond the assigned mentor, into the broader practitioner network we work with.
Beyond the summer institute
Weekend AI seminars for your school community.
Practical AI workflows for teachers, students, and parents — Saturdays at private schools, open enrollment, no application required. The community-facing version of what we teach in the summer institute.
TeachersStudentsParents
Format & Pricing
Two paths. One pre-professional standard.
Summer Institute is the flagship — three weeks, in-person, full cohort intensity. Winter Cohort is the streamlined remote pilot for families who can’t make summer work.
Flagship
AI College Prep Summer Institute
$5,500–$9,000
3 weeks · in-person · Chicago · Summer 2028
Inaugural cohort · Rolling admissions through Spring 2028
- 90 hours of contact instruction (3 weeks)
- 1:1 capstone mentorship — PhD practitioner + senior engineer
- Demo day presentation to invited faculty + practitioners
- Documented project portfolio (code, demo video, written architecture)
- 1 year alumni network access + quarterly founder office hours
- Letters of recommendation (when performance warrants)
- Mentor introductions in your child's target field
Final pricing confirmed during your consultation.
Limited Pilot
AI College Prep Winter Cohort
$1,800–$4,200
10 weeks · remote · Winter 2026-27
Pilot · Interest registration open
- All 5 tracks (streamlined capstone scope vs. Summer)
- Live group sessions + biweekly 1:1 with PhD lead
- Project portfolio + recorded demo
- Cohort Slack access for the duration
- Letters of recommendation (when performance warrants)
- Pilot launches Winter 2026-27 subject to enrollment threshold
Final pricing confirmed during your consultation.
Questions about tuition, scholarships, or fit?
Talk to admissions
Demo Day
Eight students. Eight working AI agents. Five PhD practitioners watching.
Selective by design
Ready to give your child the agentic-AI advantage?
Selective admissions for the inaugural Summer 2028 cohort. We expect a 40 to 60 percent admit rate. Rolling applications through Spring 2028.