KG – Grade 12,

one global programme.

The smarter way for your child to build, code, and create with AI.

See the pathway in action

A free one-to-one trial class + placement diagnostic — meet your child’s level in 40 minutes.

13

Levels

First click to future-ready

156

Total hours

12 hrs in every level

12

Projects per level

Interactive, hands-on

1:1

Live classes

A dedicated mentor, every time

12×12

AI & Computational Thinking Pathway

// Version 2.0 — 12 hours × 12 projects in every level. Explore all 13 levels →

  • Hands-On Projects

  • Live 1-to-1 Classes

  • A Personal Mentor

  • 1 Real Portfolio

  • Demo Day Every Level

  • KG – Grade 12

  • 13 Levels

  • 156 Hours

  • 12 Projects per Level

  • Ages 5–18

Every child will grow up with AI. Ours learn to command it safely, honestly, powerfully.

Every child will grow up with AI. Ours learn to command it safely, honestly, powerfully.

Every child will grow up with AI. Ours learn to command it safely, honestly, powerfully.

The Journey

001

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One journey. Four stages.

A clear grade-by-grade ladder — every level is 12 hours and 12 interactive projects. Join at any stage after a free placement diagnostic.

001

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One journey. Four stages.

A clear grade-by-grade ladder — every level is 12 hours and 12 interactive projects. Join at any stage after a free placement diagnostic.

01

Foundations

Computational thinking, digital citizenship & visual coding — screen-smart from day one.

L0–L2

3 levels

KG – Grade 5

02

Builders

03

Programmers

04

AI Creators

The Four Stages

1/4

Play first. Think like a coder.

Levels 0–2 build sequencing, pattern-spotting and safe screen habits through ScratchJr and Scratch — long before the first typed line of code.

One pathway • KG – Grade 12 • Join at any stage

The Pathway

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13 levels. From first click to future-ready.

Thirteen levels, taught live and one-to-one by a dedicated mentor — every level is 12 focused hours and 12 hands-on projects.

002

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13 levels. From first click to future-ready.

Thirteen levels, taught live and one-to-one by a dedicated mentor — every level is 12 focused hours and 12 hands-on projects.

Level 0

Little Thinkers

First Steps in Computational Thinking

KG – Grade 1

Ages 5–7

12 hrs • 12 projects

Tools · ScratchJr + Unplugged Play

Foundations

Level 1

Visual Coding Foundations

Scratch Basic App & Game Development

Grades 2–4

Ages 7–9

12 hrs • 12 projects

Tools · MIT Scratch

Foundations

Level 2

Visual Coding Mastery

Scratch Advanced Game Studio

Grades 3–5

Ages 8–10

12 hrs • 12 projects

Tools · MIT Scratch

Foundations

Level 3

AI Level

AI Discoverers

Artificial Intelligence Based App Development

Grades 4–6

Ages 9–11

12 hrs • 12 projects

Tools · PictoBlox • ML for Kids

Builders

Level 4

App Inventors – Basic

Build & Install Real Android Apps

Grades 5–7

Ages 10–12

12 hrs • 12 projects

Tools · MIT App Inventor

Builders

Level 5

App Inventors – Advanced

Publish-Ready Mobile App Studio

Grades 6–8

Ages 11–13

12 hrs • 12 projects

Tools · MIT App Inventor

Builders

Level 6

AI Level

Machine Learning Explorers

Teach a Machine to Learn

Grades 6–8

Ages 11–13

12 hrs • 12 projects

Tools · Teachable Machine • ML for Kids

Builders

Level 7

Web Creators

HTML • CSS • JavaScript — Real Code Begins

Grades 7–9

Ages 12–14

12 hrs • 12 projects

Tools · VS Code + GitHub

Programmers

Level 8

Python Programmers I

The World’s Most In-Demand Language

Grades 7–10

Ages 12–15

12 hrs • 12 projects

Tools · Python 3 + Turtle

Programmers

Level 9

Python Programmers II

OOP, Game Development & Data Science

Grades 8–11

Ages 13–16

12 hrs • 12 projects

Tools · Pygame • matplotlib • pandas

Programmers

Level 10

AI Level

AI Engineers

Build Real Artificial Intelligence in Python

Grades 9–12

Ages 14–17

12 hrs • 12 projects

Tools · OpenCV • scikit-learn • APIs

AI Creators

Level 11

AI Level

Generative AI Creators

The Skill of the Decade — Taught Right

Grades 8–12

Ages 13–17

12 hrs • 12 projects

Tools · Leading LLMs • Hugging Face

AI Creators

Level 12

Capstone & Portfolio

University-Ready. Career-Ready. World-Ready.

Grades 10–12

Ages 15–18

12 hrs • 12 projects

Tools · Full Professional Stack

AI Creators

Foundations

003

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Built on the world’s five Big Ideas in AI.

Five ideas every child should understand — how machines sense, reason, learn, talk and shape our world — with the four pillars of computational thinking in every level.

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Built on the world’s five Big Ideas in AI.

Five ideas every child should understand — how machines sense, reason, learn, talk and shape our world — with the four pillars of computational thinking in every level.

1

Perception

Computers sense the world — cameras, microphones & sensors.

2

Representation & Reasoning

How machines organise knowledge and make decisions.

3

Learning

Machines improve from data — the heart of machine learning.

4

Natural Interaction

Speech, language & how humans talk with AI.

5

Societal Impact

Ethics, fairness, safety & AI’s effect on our world.

The 4 pillars of computational thinking — in every level

Decomposition • Pattern Recognition • Abstraction • Algorithm Design

Data Science

Levels 6 • 9 • 10

Computer Vision

Levels 3 • 6 • 10

Natural Language (NLP)

Levels 3 • 6 • 10 • 11

The Method

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The AI Project Cycle — lived, not memorised.

The professional project cycle — scope, data, model, evaluate. Our students run the full cycle three times, at rising depth.

004

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The AI Project Cycle — lived, not memorised.

The professional project cycle — scope, data, model, evaluate. Our students run the full cycle three times, at rising depth.

1

Problem Scoping

Define the problem with the 4Ws — Who, What, Where, Why.

2

Data Acquisition

Gather the right data — surveys, sensors, datasets & APIs.

3

Data Exploration

Clean, chart & question the data before trusting it.

4

Modelling

Choose & train the model — rules, ML or neural approaches.

5

Evaluation

Test honestly — accuracy, precision, recall & the confusion matrix.

Three full runs across the pathway

Level 6

First run — with teachable ML tools.

Level 10

Second run — real Python AI systems.

Level 12

Mastery run — the mentored capstone.

Outcomes

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What your child walks away with.

Not more screen time — a track record. Taught live, one-to-one, and it all lands in one real portfolio of working projects.

005

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What your child walks away with.

Not more screen time — a track record. Taught live, one-to-one, and it all lands in one real portfolio of working projects.

1:1

Live one-to-one classes

A dedicated mentor’s full attention, every session.

12

Projects per level

Hands-on and built by your child, every hour.

1

Real portfolio

Live sites, apps & AI projects — university-ready.

156

Hours of building

12 focused hours in every one of 13 levels.

Progress

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Progress parents can actually see.

Every level ends in an assessed capstone project. Students learn to evaluate their own work — and you see mastery, momentum and milestones at a glance.

006

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Progress parents can actually see.

Every level ends in an assessed capstone project. Students learn to evaluate their own work — and you see mastery, momentum and milestones at a glance.

Capstone scorecard

Level 6 — Machine Learning Explorers

92%

model accuracy

Trained

Improving

Computational thinking

The four pillars, assessed every level

Decomposition

92%

Pattern Recognition

88%

Abstraction

84%

Algorithm Design

90%

Position on the pathway

13 levels, climbed one by one

Level 6 of 13

Free placement diagnostic sets the start

12-week momentum

One hour, one project — every week

13

Levels, climbed one by one

Evaluate like a pro

Accuracy • precision • recall — measured like real AI teams do

46

true positive

4

false positive

3

false negative

47

true negative

1

portfolio, charging up

university-application ready

Questions

007

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Questions parents ask.

Simple answers to help you place your child and start fast. Anything else — ask us in the trial class.

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Questions parents ask.

Simple answers to help you place your child and start fast. Anything else — ask us in the trial class.

My child has never coded. Where do they start?

Is this just more screen time?

Will this help my child at school?

What does my child actually get at the end of a level?

How are classes run?

Is generative AI safe for my teen to learn?

Free trial class + placement diagnostic

Find your child’s level in one free class.

Find your child’s level in one free class.

Join at any level • Live one-to-one classes • Ages 5–18

Book a Free Trial Class

Book a free trial class + placement diagnostic — find your child’s level.

Book a free trial class + placement diagnostic — find your child’s level.

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Ages 5–18 • Online, worldwide

Outcomes

Live one-to-one classes • A dedicated mentor • A university-ready portfolio

For families

KG – Grade 12 • Ages 5–18 • Live one-to-one • Online, worldwide

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Built for young innovators, worldwide