ILMERE Academy — Coding & AI as a Timetabled Subject

What We Deliver

Real skills, not screen time

Students build and run their own work from the first lesson. Every unit works toward a portfolio piece they can demonstrate, not a multiple-choice score they forget.

Genuine Programming

Students begin with visual coding to build computational thinking, then move to Python, HTML/CSS and JavaScript through structured projects. Blocks are where they start, not where they stop. By Year 9 (ages 13–14) they are building working applications.

AI Literacy

AI starts in Year 4 (age 8), with what it is and how to use it safely and creatively. From Year 7 (age 11) students learn how language models, classifiers and generative tools actually work. They build with AI APIs and learn to evaluate outputs critically — the skill set employers will expect.

Portfolio Outcomes

Each year group completes capstone projects: a personal website, an automated data tool, a trained classifier. Students leave with a portfolio of real artefacts, not just a certificate.

Our Instructors, Your School

We recruit, vet, and train specialist instructors who teach on your premises during timetabled periods. They follow our curriculum and reporting standards, integrated with your school calendar.

Curriculum Spine

Year 4 through Year 11 (ages 8–16)

A progressive sequence from computational thinking to applied AI, built to run as one timetabled period per week. Aligned to ISTE and CSTA standards, and designed to sit alongside British, American and IB curricula.

Years 4 – 6(ages 8–11)

Foundations

Visual and block coding, computational thinking, and what AI is — used safely and creatively. Projects include quiz apps and simple simulations.

Years 7 – 9(ages 11–14)

Applied Development & AI Foundations

The move to text-based code, starting with Python fundamentals: variables, functions, data types. Then full-stack web basics (HTML, CSS, JavaScript), version control with Git, and API integration. AI literacy deepens: how models are trained, prompt engineering, building with AI APIs, and evaluating model outputs for bias and accuracy.

Years 10 – 11(ages 14–16)

Advanced Projects & Portfolio

Students undertake extended projects: training classifiers on custom datasets, building full-stack applications, and automating real workflows. This phase produces the portfolio artefacts that demonstrate genuine competence to universities and employers.

How the Partnership Works

We split the work cleanly

ILMERE handles the specialised components. Your school provides the access and environment. Neither side duplicates the other's effort.

ILMERE Brings

Curriculum designed and maintained by our team
Purpose-built teaching platform and student environment
Vetted, trained specialist instructors
Ongoing instructor development and quality assurance
Termly progress reports for every student
Alignment with ISTE and CSTA computing standards

Your School Provides

One timetabled period per week per year group
A room with desks, power, and internet access
Student devices (laptops or tablets, existing fleet is fine)
A named coordinator for scheduling and communication

Getting Started

One term, one year group

We start small so both sides can evaluate the fit. A single-term pilot with one year group, then decide together whether to expand.

Introductory Meeting

We discuss your school's priorities, existing computing provision, and where ILMERE fits.

Pilot Proposal

We recommend a year group and deliver a scoped plan: curriculum outline, schedule, and resource requirements.

One-Term Pilot

Our instructor teaches on site for one term. You observe, we report, students build.

Review & Decide

At the end of the pilot we share a detailed outcome report. You decide whether and how to continue.