01 · School

AI & Computer Science, Class 6 to 12

A step-by-step path that complements school-board computer science and AI syllabi. Delivered in school, after school or online.

Book a free demo class

For: Students from Class 6 to Class 12
Duration: On request
Batch size: On request
Fee: On request

What you'll learn

Stage 1 · DiscoverClass 6–7
Talk to AI, and learn to question it
- Talking to AI: how to ask, and how to ask better
- Fact-checking an answer against a reliable source
- Spotting when AI is confidently wrong
- Simple coding: logic, patterns and Scratch
- How computers and the internet work
- Safe, kind and smart online behaviour
- Project: train a simple image-recognition model to sort fruits or animals
Stage 2 · BuildClass 8–9
Prompts, small models and Python
- Writing good prompts, and knowing when a prompt will not help
- Training a small model from your own examples
- Python foundations
- Data skills: tables, charts and what a number does not tell you
- App building with MIT App Inventor
- Spotting fakes, deepfakes and misinformation
- Project: a chatbot that answers questions about your school
Stage 3 · ConnectClass 10–11
AI helpers, workflows and APIs
- Building an AI helper that does one job well
- Workflows: joining tools so a task runs itself
- How LLMs work, and where they fail
- APIs: letting your code talk to other software
- Python with pandas; machine learning basics
- Web basics: HTML, CSS, JavaScript
- AI ethics, bias and data privacy
- Project: a mini ML web app, such as predicting crop yield or study time
Stage 4 · CreateClass 12
Capstone project and agentic AI
- Agentic AI: agents that use tools to finish a job
- Retrieval and RAG over your own notes
- SQL databases: MySQL and PostgreSQL
- Testing what you built, and fixing what breaks
- Working as a team, and presenting your work
- Career guidance: CS, AI and data degrees
- Capstone: a deployed AI app and GitHub portfolio for college applications

You leave with

Projects in every module
Term test
Monthly progress report for parents and the school
Certificate on completion

Formats

In-school programme
After-school and weekend batches
Online live classes

Ready to start?

Tell us a little about you and we'll get back within two working days.

Book a free demo class

What you'll learn

Stage 1 · DiscoverClass 6–7

Talk to AI, and learn to question it

Talking to AI: how to ask, and how to ask better
Fact-checking an answer against a reliable source
Spotting when AI is confidently wrong
Simple coding: logic, patterns and Scratch
How computers and the internet work
Safe, kind and smart online behaviour
Project: train a simple image-recognition model to sort fruits or animals

Stage 2 · BuildClass 8–9

Prompts, small models and Python

Writing good prompts, and knowing when a prompt will not help
Training a small model from your own examples
Python foundations
Data skills: tables, charts and what a number does not tell you
App building with MIT App Inventor
Spotting fakes, deepfakes and misinformation
Project: a chatbot that answers questions about your school

Stage 3 · ConnectClass 10–11

AI helpers, workflows and APIs

Building an AI helper that does one job well
Workflows: joining tools so a task runs itself
How LLMs work, and where they fail
APIs: letting your code talk to other software
Python with pandas; machine learning basics
Web basics: HTML, CSS, JavaScript
AI ethics, bias and data privacy
Project: a mini ML web app, such as predicting crop yield or study time

Stage 4 · CreateClass 12

Capstone project and agentic AI

Agentic AI: agents that use tools to finish a job
Retrieval and RAG over your own notes
SQL databases: MySQL and PostgreSQL
Testing what you built, and fixing what breaks
Working as a team, and presenting your work
Career guidance: CS, AI and data degrees
Capstone: a deployed AI app and GitHub portfolio for college applications