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School AI Learning Programme

10-Day AI Discovery  |  30-Day Applied AI Learning — a structured, practical AI pathway Kizen brings to your school, from first curiosity to a working capstone project.

Classes 5–8 & 9–12
10-Day & 30-Day Formats
Delivered On Campus
Certificate & Demo Day
Bring AI to Your School

Get the full programme structure, formats & pricing.

01
Why Kizen offers School AI Learning

AI skills, built from an early stage

01

Build AI awareness, computational thinking and practical digital skills from an early stage.

02

Age-appropriate pathways for Classes 5–8 and Classes 9–12.

03

Hands-on activities, coding, projects, testing and responsible technology use.

04

Flexible 10-day and 30-day formats designed around visible student outcomes.

02
What is School AI Learning?

Two age-appropriate pathways, one clear outcome

Kizen’s School AI Learning Programme introduces students to artificial intelligence through guided activities, practical tools, coding and project development. The 10-day option builds curiosity and foundational skills through a guided mini-project, while the 30-day option provides deeper practice and a complete capstone project with testing, documentation and Demo Day.

10-Day AI Discovery

Awareness · Activities · Guided Mini-Project · Presentation

A fast, engaging introduction to AI for younger students and beginners.

30-Day Applied AI

Foundations · Practice · Capstone · Testing · Demo Day

Deeper, project-first learning with a complete capstone and certification.

03
Who can join?

Designed for classrooms, clubs & whole cohorts

Profile 1

Classes 5–8 students exploring AI, logic, creative computing and interactive projects.

Profile 2

Classes 9–12 students progressing into Python, data, machine learning and guided AI applications.

Profile 3

Schools seeking a structured, practical AI learning pathway with measurable project outcomes.

04
Course Structure

From AI foundations to Demo Day

01
AI Foundations
  • AI Around Us
  • Patterns & Algorithms
  • How Machines Learn
  • Data & Prediction
  • Responsible AI
02
Creative Computing
  • Scratch & Interactive Projects
  • Logic & Conditions
  • Problem Solving
  • Image Classification
03
Applied AI
  • Python Essentials*
  • Data with Pandas*
  • Charts & Insights*
  • Machine Learning*
  • NLP / Computer Vision*
  • Generative AI*
04
Project & Showcase
  • Problem Selection
  • Prototype & Build
  • Test & Improve
  • Documentation & Presentation
  • Demo Day & Certification

* Primarily emphasized in the Classes 9–12 applied pathway.

Learning Outcomes

What students walk away with

  • Understand how AI uses data, patterns and instructions.
  • Build age-appropriate AI projects with guidance.
  • Test, explain and improve outputs while recognising limitations.
  • Practise privacy, verification and responsible technology use.

School AI Learning Brochure

Full programme structure, pathways, formats and outcomes — ready to share with your school leadership team.

View / Download Brochure (PDF)