A 6-month live program where you train a real AI model, build a study coach that gets you through finals, and ship a real product at Demo Day. Prefer your own pace? A self-paced track opens after our first cohorts. Either way, start with a 3-hour intro class for $49.
Same courses, same projects, same rule — you leave with things you built. Pick the format that fits your family's schedule.
Live, small-group classes with a real instructor, 1–2 sessions a week over 26 weeks — three arcs, each ending in a showcase, building to a public Demo Day.
The same courses, refined by real cohorts first — then packaged into short modules you can take on your own schedule. We build it from what actually works in class, not the other way around.
The founding cohort meets live online. Every arc ends with a showcase event — so even the student who joins for one arc leaves with a finished, demo-able project.
Build a personalized AI tutor for a class you're actually taking — grounded in your real notes — and use it all semester. Structured prompting, grounding, and the first graded hallucination hunt.
Train a real vision model on your own photos and ship it as a phone app with a live URL — then flip to the other side: generate deepfakes within guardrails and build the toolkit to catch them.
The capstone: find a real problem, interview real users, ship a working AI product, and harden it until it survives testing. Everything from arcs 1 and 2 gets used here.
The building blocks behind both formats. Every course runs on the same rule: something works on day one, and you leave with a project you can actually show people.
Build a personalized AI tutor for a class you're actually taking — AP Bio, Geometry, APUSH, SAT prep — and use it the next day. Feed it your real notes so it quizzes you, finds your weak spots, and plans your studying.
You'll learn structured prompting, grounding AI in your own materials, and a graded "hallucination hunt" — catching your AI when it makes things up. Capstone: a working AI Learning Companion for one real course, plus a "How I Built This" write-up for your portfolio.
Point a camera at a real problem — cafeteria food waste, recycling contamination, invasive plants — and train an AI to solve it. Your own photos, your own model, trained in your browser.
Collect 100+ photos, train a classifier, then try to break it — and fix what breaks. Ship it as a phone app with a live link, and write an honest "model card" about where it fails. Feeds straight into ISEF, Conrad Challenge, and Diamond Challenge.
Make a 3-minute documentary, a podcast pilot, a comic, or a full marketing campaign for an invented product — logo, product shots, website, commercial, socials — with AI as your production studio.
Image, video, and voice generation as a craft: you direct the AI, iterate toward your vision, and learn what's fair game (copyright, consent, disclosure) at the moment it matters. Ends with a real premiere screening.
Generate deepfakes (within guardrails) — then learn to catch them. Build a verification toolkit, out-detect your classmates, and figure out what the algorithm behind your feed is really doing.
Detection heuristics, provenance tools, a hands-on bias lab, and a finale where your group drafts a real AI policy for your school or club — and presents it to people who can actually adopt it.
Ready for more? Our advanced track: find a real problem, interview real users, ship a working AI product, and pitch it at a public Demo Day in front of parents, teachers, and local founders.
The full lifecycle — problem → design → build → test → improve → deploy → present. Coding-track students rebuild their prototype "properly" with real APIs. This is the course that ends up on college applications.
This is the first session of the Study Coach course, offered as a standalone class: in three hours live on Zoom, your student builds a starter AI tutor with basic instructions, tries it on real homework, and catches it making something up. Parents are welcome to sit in.
The full 8-week HS1 course is where that starter becomes a real learning companion — grounded in your actual class materials so it stops guessing, generating practice quizzes, tracking weak topics, and packaged so you can keep using it all year.
Leave with a working starter tutor your student can try on homework the next day — and a clear picture of what the full course builds.
$49 credits toward tuition if you join the cohort program afterward.
Meet the instructor, see exactly how classes run, and ask anything — before committing to the program.
No coding, no setup — a laptop and class notes are all your student needs.
Every class starts with a problem — "your bio exam is Friday and you have 140 pages of notes" — and you learn exactly the AI skills needed to solve it.
Something you built works in the very first session. No three-week warmups.
Each session ends with something saved and shareable — screenshots and links, not quizzes.
In every course you catch the AI failing — hallucinating, biased, or just wrong — and learn to fix it. Graded.
Demo Days, premieres, and showcases — plus a portfolio piece and write-up for college apps.
We go beyond prompting. Your student learns to design, test, verify, and explain AI systems — and to identify real problems worth solving with them. Critical thinking and integrity aren't a unit; they're graded into every course.
Every course ships with a parent page covering safety, tools, and our academic-integrity approach. You'll see exactly what your student built — because they'll show you at Family Demo Night.
Free-tier tools only on the default path — no surprise subscriptions.
Academic integrity first: students write their own AI-use policy and a disclosure with every project.
Skepticism is graded: catching AI errors is a required, scored exercise in every course.
College-app assets: every course produces a portfolio artifact and a "How I Built This" write-up.
No coding required — and a "rebuild it properly" coding track for students who want to go deeper.
"We started AI Builders Academy because students keep getting two bad options: avoid AI entirely, or lean on it as a shortcut. Neither prepares them for the world they're graduating into. Our students learn to build with it — and to catch it when it's wrong. That second skill is the one I'm proudest to teach."
— [Founder name], founder & lead instructor · [one line about your background — fill in before launch]
No. Every course has a no-code default path using free browser tools. Students who want more can take the Builder Track and rebuild their project in Python — the project makes them want to learn the code, not the other way around.
The opposite. Students build systems, train models, and are graded on catching AI mistakes. Every project includes an AI-use disclosure, and we explicitly teach where the academic-integrity lines are.
A working project with a live link or demo, a one-page "How I Built This" write-up, and a portfolio that grows across courses — useful for college applications, science fairs, and internships.
The 6-month cohort is live: small-group classes with an instructor, three arcs, showcases, and a public Demo Day. The self-paced track covers the same courses in short modules on your own schedule — it opens after our first cohorts graduate, because we build it from what actually works in class.
No. Each arc is a complete experience with its own showcase — Arc 1 (Study Coach), Arc 2 (Computer Vision + Truth Detective), Arc 3 (Startup Lab). Students can join for one arc or the full journey, and mid-year joiners start at the next arc boundary.
The intro class is session one of HS1: a starter tutor built with basic instructions in three hours — a real, working taste of how we teach. The 8-week course goes much further: grounding the tutor in your student's actual class materials, quiz generation, weak-topic tracking, reliability work, and packaging it into a companion they use all year. The $49 credits toward tuition if you continue.
One 2.5-hour live session per week, plus about 30–45 minutes of at-home building. The homework is always the student's real schoolwork — using their study coach on actual assignments — so it tends to replace study time rather than add to it. The calendar respects exam seasons.
The program is three arcs, each a complete experience with its own finale — so pausing at an arc boundary means finishing with a completed project, not dropping out mid-stream. Every session ends with saved work the student keeps, and rejoining at the next arc boundary is always open.
We're finalizing the founding cohort calendar now. Join the waitlist and you'll be first to know — founding families get priority placement, founding pricing, and first pick of intro class dates.
Join the waitlist for intro class dates, founding cohort placement, and founding-family pricing. We'll email — no calls, no spam.