What is the K12 AI Boot Camp?

A hands-on, project-first program that teaches students in Grades 6–12 to think, problem-solve and build with AI — not another rote coding class, but real skills measured by a concept-level skills report.

Which grades is it for?

Grades 6 to 12, across three tracks — Spark (6–8), Build (9–10) and Launch (11–12) — so every student starts at the right level.

Do students need prior coding experience?

No. The boot camp starts from curiosity and real problems, and is designed to be age-appropriate and jargon-free at every track.

Is it online or in-person?

Live, mentor-led cohorts in small batches, with feedback on every project — available for parents and students, and as school-wide programs for institutions.

What do parents get at the end?

A clear, concept-level skills report on how their child thinks and creates, plus a portfolio of built projects and a completion certificate.

K12 AI Boot Camp

The End-to-End Plan for Your School.

Six weeks, three grade tracks, one showcase. Here is exactly what runs each week, what we bring, and what your school provides — so you can decide before you give up a single timetable slot.

How a Boot Camp Runs

From the first call to the certificates. Most of the work before week one is ours.

Before week 1

Scoping call and track mapping

We agree which grades join, map each to a track, and fix cohort sizes. Schools pick the slot — a club period, a zero period, or an after-school hour.

Before week 1

Teacher briefing and setup

A short briefing for the teachers who will sit in, plus a device and connectivity check. No software for your IT team to maintain — everything runs in the browser.

Weeks 1–6

Six weeks of mentor-led builds

One live session a week per cohort, each ending in a working project rather than a quiz. Mentors give feedback on every build; your teachers keep visibility throughout.

Week 6

Showcase day

Students present what they built to peers, teachers and — where schools want it — parents. It is the part that makes the programme visible to your community.

After week 6

Reports, certificates and handover

Every student gets a concept-level skills report and a completion certificate. The school gets a cohort summary and the project portfolio to keep.

Six Weeks, Three Tracks

Grades run in parallel, each on the track built for them. Every week ends in a working project rather than a test.

Spark

Grades 6–8

Curiosity to creation. No prior coding — students finish able to explain how AI makes a decision, and to build something that uses one.

1How machines “see” and “guess” — sorting games that expose what a model is actually doing
2Visual coding: sequences, loops and conditions, built as a playable game
3Teaching a computer by example — training a simple image classifier on their own photos
4Patterns and prediction — where AI gets it right, and where it confidently gets it wrong
5Build week: a small AI-powered project of their own choosing, with mentor feedback
6Polish, present and showcase — explaining the build to an audience

Build

Grades 9–10

Real code, real AI. Students move from block-based tools to Python and finish having trained and evaluated their own model.

1Python foundations — variables, logic and functions, taught through problems not syntax drills
2Data thinking: reading a dataset, spotting what is missing, and asking a question of it
3First machine-learning model — training, testing, and what accuracy does and does not mean
4How language models work, in plain terms — tokens, prediction, and why they hallucinate
5Build week: an AI project tied to something real in their school or neighbourhood
6Evaluate, present and showcase — defending the choices behind the build

Launch

Grades 11–12

Capstone and portfolio. Students leave with a project they can show to a college, and problem-solving habits that carry into entrance preparation.

1Framing a problem worth solving — scoping, constraints, and what “done” looks like
2Working with data properly: sources, bias, cleaning, and honest evaluation
3Applied models — choosing an approach and knowing why the alternatives were rejected
4Building with AI tools as an engineer rather than a user: prompts, APIs, and verification
5Capstone build week, with mentor reviews at checkpoints rather than only at the end
6Portfolio, presentation and showcase — the artefact that outlasts the course

What We Bring, What You Provide

The honest split, so there are no surprises in week one.

Mantrana brings

Mentors who run every live session
The full curriculum, projects and materials
A browser-based platform — nothing for IT to install
Per-student skills reports and certificates
A cohort summary for your academic team

Your school provides

A weekly slot in the timetable per cohort
A computer lab or students’ own laptops
Working internet in the room
One teacher present per cohort, as a familiar face
A hall or large classroom for showcase day

Bring the boot camp to your school.

Tell us your grades and the slot you can spare, and we will map the tracks and share a term plan for your school.

Book a demo See AI for Schools