AI for Students · Class 9 · Age 13–14

Building with AI 🏗️

You know how AI works. Now learn to measure it, build with it, and make things that matter. 12 hands-on lessons using Python, real data, and live AI APIs.

📘 12 Lessons 🐍 Python + Colab 📊 Real Datasets 🔌 Live AI APIs 🆓 Free
Class 9 students working on laptops in a modern school lab, Python code on screens, building AI projects together
Watch first · 2–3 minutes

Class 9 — Building with AI

No sign-in needed · English narration · Safe for all school ages

What You Will Be Able to Do

Class 9 Learning Outcomes

By the end of Class 9, you will move from understanding AI to actually building with it.

🧠
Understand neural networks internally
Explain layers, weights, and how backpropagation trains a model — not just "it learns from data"
📊
Work with real datasets
Load, inspect, and clean CSV data using Python and pandas in Google Colab
⚙️
Build and evaluate ML models
Train a classifier with scikit-learn, measure its accuracy, precision, recall, and F1 score
✨
Understand how AI generates
Explain diffusion models, transformers, and the maths behind generative AI outputs
🔌
Call a live AI API
Write Python code that sends a prompt to ChatGPT or Gemini and processes the response
🗂️
Build a portfolio project
Complete a full AI project — from problem definition to working code — and document it
Full Curriculum

12 Lessons — Building with AI

Each lesson builds on the previous. Start at Lesson 1 and work through in order.

Lesson 1
Inside Neural Networks
Layers, weights, activation functions — the internal view of how a neural network actually learns
● Live · Free
Lesson 2
Your First Dataset
What datasets look like, rows/columns/labels, loading and inspecting in Colab
● Live · Free
Lesson 3
Cleaning and Preparing Data
Missing values, duplicates, data types, normalisation — before any model can train
● Live · Free
Lesson 4
Build Your First Classifier
scikit-learn, train/test split, decision tree classifier, first real prediction
● Live · Free
Lesson 5
Model Evaluation: Is Your AI Good?
Accuracy, precision, recall, F1, confusion matrix — what numbers actually tell you
● Live · Free
Lesson 6
Regression: Predicting Numbers
Classification vs regression, linear regression intuition, predicting scores and prices
● Live · Free
Lesson 7
Generative AI: How It Creates
Diffusion models, transformers, attention mechanism — the maths behind creative AI
● Live · Free
Lesson 8
Natural Language Processing Basics
Tokenisation, text vectors, sentiment analysis, simple text classification
● Live · Free
Lesson 9
Data Analysis with Pandas and Charts
pandas DataFrames, filtering, groupby, matplotlib bar and pie charts
● Live · Free
Lesson 10
AI in the Workplace
Which jobs will change, which skills will grow, how to prepare for an AI-integrated career
● Live · Free
Lesson 11
Building Your First API Tool
Call ChatGPT or Gemini from Python, process the response, build a real AI-powered tool
● Live · Free
Lesson 12
My Class 9 AI Project Portfolio
Capstone: showcase your builds, complete skills checklist, print certificate, Class 10 preview
● Live · Free

📋 What You Need to Start

Recommended: Complete Class 8 AI Daily Life Academy (or have equivalent knowledge of how AI works, data, machine learning concepts, ethics, and Python basics including variables, lists, if/else, and for loops).

Class 9 builds directly on Class 8. Lessons start with Google Colab (browser-based Python) and gradually introduce pandas, scikit-learn, and API calls — all free, all browser-based, no installation needed.

You will use these free tools:

Ready to start building?

Lesson 1 is live now. Open it in a browser alongside Google Colab and start coding.

Start Lesson 1 →