Learning Track
Artificial Intelligence (AI)
A focused progression into artificial intelligence from a Primary introduction to AI concepts through to building and evaluating machine learning models in High School. Every module is grounded in ethical, responsible AI use.
Curriculum Based on
Learning Track
Four Modules, One Path Into AI
A focused progression into artificial intelligence from a Primary introduction to AI concepts through to building and evaluating machine learning models in High School. Every module is grounded in ethical, responsible AI use.
1
Primary · 16 lessons · Teachable Machine
AI Fundamentals
A Smart City-themed introduction to core AI concepts: pattern recognition, image and text classification, sound identification and prediction taught with responsible, ethical AI use.
-
What AI is and where students already encounter it
-
Training a simple model with Teachable Machine
-
First conversations about AI ethics and bias
2
Middle School · 20 lessons · Python
Python Fundamentals
Variables, data types, conditionals, loops, functions and error handling the programming foundation the rest of the AI track builds on, each concept tied to an SDG project.
-
Core Python syntax and logic
-
Working with data structures used in later AI modules
-
Ends in a personal project addressing an SDG
3
Middle–High School · 16 lessons · Gemini API
Artificial Intelligence
Object detection, text classification, machine learning and generative AI — building projects like a mask detector, healthy food scanner, pollution predictor and an SDG chatbot, plus AI ethics.
-
Working with real AI APIs, not just simulations
-
Object detection and text/image classification projects
-
A dedicated AI ethics component throughout
4
High School · Google Colab
Machine Learning
Supervised and unsupervised learning, model evaluation, NLP and deep learning through hands-on projects, ending in an individual ML project connected to an SDG.
-
Training and evaluating models in Google Colab
-
Natural language processing and deep learning basics
-
A capstone ML project connected to an SDG
Framework Alignment
Aligned With the OECD/EC AI Literacy Framework
The Empowering Learners for the Age of AI framework, developed jointly by the OECD and the European Commission, defines four domains of AI literacy for primary and secondary students: Engage with AI, Create with AI, Manage AI, and Design AI. Here's where each domain shows up in our AI track.
OECD/EC Domain | What It Covers | Where It Happens in Our Track |
|---|---|---|
Design AI | Building, training and evaluating an AI/ML system from the ground up. | Machine Learning |
Manage AI | Deciding when to use AI, when not to, and understanding its limitations, bias and ethical implications. | Woven through AI Fundamentals & Artificial Intelligence |
Create with AI | Using AI tools and techniques to build something — a classifier, a detector, a generative project. | Artificial Intelligence |
Engage with AI | Recognizing AI in everyday life, understanding how it works, evaluating its outputs critically. | AI Fundamentals |
Source: OECD/European Commission (2026), Empowering Learners for the Age of AI: An AI Literacy Framework for Primary and Secondary Education. This mapping is our own interpretation — not an official OECD/EC certification.