AI Explorer
What AI is, how machines learn, generative AI, the basics of prompt engineering, and using AI safely — all with no coding. Forty-eight 1.5-hour lessons that turn curiosity into AI literacy.
- 01
Welcome to AI — What Makes a Machine "Smart"?
Meet AI and the one big idea: machines learn from examples.
- 02
AI All Around Us
Spot the AI hiding in your phone, games and apps.
- 03
Human Brain vs Computer Brain
What we do well, what machines do well.
- 04
What AI Can & Can't Do (Myths vs Reality)
Bust the movie myths; see the real limits.
- 05
How Computers See, Hear & Read
Images, sound and words as data a machine can use.
- 06
Data Is the Food of AI
Why every AI needs lots of good examples.
- 07
Patterns Everywhere
How machines find patterns we never typed as rules.
- 08
Challenge: AI Detective Hunt
Spot and sort AI vs not-AI around you.
- 09
Teaching by Example — What "Training" Means
How a machine learns a pattern from labelled examples.
- 10
Quick, Draw! — Watch a Machine Learn
Doodle and watch a real model guess in real time.
- 11
Labels & Categories
Sorting the world into classes the AI can learn.
- 12
Good Data, Bad Data
Why messy or unfair examples make a worse model.
- 13
The Three Ways Machines Learn
Supervised, unsupervised and reinforcement, kid-style.
- 14
Rewards & Practice — How Game AIs Improve
How an AI gets better by trying and being rewarded.
- 15
Guessing with Confidence — Predictions
What a confidence score really means.
- 16
Challenge: Train-the-Teacher (Unplugged)
Be the model — learn a rule from examples, no screen.
- 17
Meet Generative AI
Machines that create words, pictures and sound.
- 18
How Chatbots Talk — Next-Word Prediction
The simple trick behind a chatbot's replies.
- 19
Your First Chat with an AI Assistant
Say hello safely and learn the class rules.
- 20
What Is a Prompt? Talking to AI Clearly
Clear, specific instructions get far better answers.
- 21
The Recipe for a Good Prompt
Role + task + details — the prompting formula.
- 22
Vague vs Clear Prompts
See how specificity changes the answer.
- 23
Show, Don't Just Tell (Examples)
Give the AI an example of what you want.
- 24
Setting Style & Tone
Ask for funny, formal, short or simple.
- 25
Step-by-Step Prompts
Ask the AI to plan or work things out in steps.
- 26
Fixing Weak Prompts
Turn a poor prompt into a strong one.
- 27
Project: AI Study Buddy
Build a set of prompts that help you learn.
- 28
Challenge: Prompt Battle
Whose prompt gets the best answer?
- 29
AI That Draws
How image generators turn words into pictures.
- 30
Describing Pictures with Words
Write image prompts that get what you imagined.
- 31
AI That Writes Stories & Poems
Co-write with AI and stay the author.
- 32
AI That Makes Music & Sound
How machines compose, and using it responsibly.
- 33
AI Voices — Text-to-Speech
How AI reads text aloud, and where it helps.
- 34
When AI Gets It Wrong — Hallucinations
Why AI sounds sure even when it's wrong.
- 35
Project: My AI Comic Strip
Combine story and image prompts into a comic.
- 36
Project: AI Newsletter for My Class
Plan, write and fact-check a class newsletter.
- 37
Fact-Checking AI
Don't believe everything — how to verify answers.
- 38
Challenge: Creative AI Showcase
Make and present your best AI creation.
- 39
Is AI Fair? Bias in Everyday Examples
How AI can be unfair, and why it matters.
- 40
AI & Privacy
Your data is precious — keep it safe.
- 41
Deepfakes & Fakes
Spot AI-made images, voices and videos.
- 42
Who's Responsible When AI Errs?
People, not machines, are accountable.
- 43
AI & Jobs — Helper, Not Replacer
How AI changes work, and the human edge.
- 44
Using AI Honestly at School
AI as a coach, not a cheat — integrity rules.
- 45
The Golden Rules of Safe AI Use
Your class charter for using AI well.
- 46
Project: My Responsible-AI Pledge
Make a poster and pledge for safe AI use.
- 47
Capstone Part 1 — Plan My AI Helper
Pick a real task and plan an everyday AI helper.
- 48
Capstone: My Everyday AI Helper + Level 1 Review
Build and present your helper; review the level.
ML Maker
Train your own image, sound and pose models with Teachable Machine and Machine Learning for Kids, build AI Scratch games, and level up your prompt engineering — still no code. Forty-eight 1.5-hour lessons of real model-making.
- 01
You're Becoming an AI Trainer
Recap Level 1 and step up from user to trainer.
- 02
Inside a Model — Inputs, Outputs, Confidence
What goes in, what comes out, and how sure it is.
- 03
Datasets 101 — Collecting Good Examples
What makes a dataset useful and fair.
- 04
Classes & Labels — Designing Categories
Choose the categories your model will learn.
- 05
Train, Test, Improve — The ML Loop
The cycle every machine-learning project follows.
- 06
Challenge: Design a Dataset on Paper
Plan classes and examples for a model — unplugged.
- 07
Meet Teachable Machine
Your first trained model, with no code.
- 08
Train an Image Classifier
Teach the camera to tell objects apart.
- 09
Testing Your Model — Accuracy & Mistakes
Find where your model gets it wrong.
- 10
More Data, Better Model
Add examples and watch accuracy improve.
- 11
Confusing the Model — Edge Cases & Bias
Find inputs that fool your classifier.
- 12
Exporting & Sharing Your Model
Save your model and share it safely.
- 13
Project: Recycling Sorter
Sort waste by camera with a trained model.
- 14
Project: Hand-Sign Translator
Recognise hand signs and show the meaning.
- 15
Connecting Teachable Machine to Scratch
Use your model to control a Scratch project.
- 16
Challenge: Build-a-Classifier Jam
Train the best classifier you can in one session.
- 17
Sound Classification — Teaching a Machine to Listen
Train a model to recognise sounds.
- 18
Project: Voice-Command Controller
Control a project with spoken commands.
- 19
Pose Detection — Teaching a Machine to See Movement
Recognise body poses with the camera.
- 20
Project: Dance-Move / Fitness Coach
Detect moves and give live feedback.
- 21
Combining Models — Multi-Input Projects
Mix image, sound and pose in one project.
- 22
Real-Time AI — Live Camera & Mic
Build projects that respond as things happen.
- 23
Project: Smart Pet-Cam Alert
Spot your pet on camera and send an alert.
- 24
Challenge: AI Gadget Invention
Invent a useful gadget powered by your models.
- 25
Meet Machine Learning for Kids
A friendly tool to train text and number models.
- 26
Text Classification — Teaching AI to Read Feelings
Train a model to tell positive from negative.
- 27
Project: Kindness Detector
Flag unkind messages and suggest kinder ones.
- 28
Project: Chatbot in Scratch (Intents)
Build a chatbot that understands what you mean.
- 29
Training a Shape/Number Recogniser
Teach a model to read shapes or digits.
- 30
Project: AI Rock-Paper-Scissors
Play against an AI that watches your hand.
- 31
Project: Smart Quiz Game
A quiz that understands typed answers.
- 32
Reinforcement Learning Playground
Watch a game AI get better by practising.
- 33
Project: Teach an AI to Play a Game
Reward an AI until it learns to win.
- 34
Challenge: AI Game Studio
Design and build an AI-powered game.
- 35
Anatomy of a Great Prompt
Recap and level up your prompting toolkit.
- 36
Role Prompting
Give the AI a job to get better answers.
- 37
Few-Shot Prompting
Show examples so the AI copies the pattern.
- 38
Step-by-Step Thinking
Ask the AI to reason through a problem.
- 39
Formatting Outputs — Tables & Lists
Get answers as neat tables and lists.
- 40
Prompt Chaining
Use one answer as input to the next.
- 41
Guardrails — Keeping AI On-Task
Set rules so the AI stays helpful and safe.
- 42
Project: Build an AI "Expert" Persona
Design an AI helper with a clear personality.
- 43
Project: AI Homework Coach (With Rules)
A coach that guides without giving answers.
- 44
Challenge: Prompt Engineering Olympics
Timed prompt challenges with reveals.
- 45
Bias in Your Own Models — Test & Fix
Find and reduce bias in a model you trained.
- 46
Data Privacy When Collecting Examples
Collect data fairly and with consent.
- 47
Capstone Part 1 — Plan & Train Your Model
Pick a problem and train a model to solve it.
- 48
Capstone: "Smart Helper" ML Project + Level 2 Review
Finish, demo and review your ML project.
Vision & Data Scientist
Step into light Python in Google Colab to do real data science and computer vision, and take a gentle first look inside neural networks. Forty-eight 1.5-hour lessons with small, scaffolded notebooks — no heavy maths.
- 01
Why Code? From Buttons to Instructions
Why writing code unlocks more powerful AI.
- 02
Meet Google Colab
Run Python in your browser — no install.
- 03
Your First Python — print & variables
From Scratch blocks to Python lines.
- 04
Numbers & Text in Python
Work with numbers and words in code.
- 05
Lists — Holding Lots of Data
Store many values in one place.
- 06
Loops — Doing Things Many Times
Repeat work without copy-paste.
- 07
Decisions — if/else for AI Rules
Make your code choose what to do.
- 08
Functions — Reusable AI Tools
Wrap useful steps into named tools.
- 09
Using Libraries — import & Magic Tools
Borrow powerful ready-made code.
- 10
Challenge: Python Warm-Up Lab
Short coding puzzles to build confidence.
- 11
What Is Data Science?
Asking and answering questions with data.
- 12
Loading a Dataset (CSV) in Colab
Open a real dataset in your notebook.
- 13
Exploring Data with pandas
Peek at rows, columns and shapes.
- 14
Filtering & Sorting Data
Find the rows that matter.
- 15
Averages, Counts & Summaries
Summarise a dataset in a few lines.
- 16
Your First Chart with matplotlib
Turn numbers into a bar or line chart.
- 17
Spotting Patterns & Outliers
Read a chart like a data detective.
- 18
Project: Analyse a Real Malaysian Dataset
Investigate local weather, exams or transport.
- 19
From Data to Decision — Telling the Story
Turn your findings into a clear message.
- 20
Challenge: Data Detective
Crack a mystery hidden in a dataset.
- 21
Images Are Numbers — Pixels & Colours
How a picture is just a grid of numbers.
- 22
RGB & Grids
Mix red, green and blue to make any colour.
- 23
Reading & Showing Images in Python
Load and display an image in code.
- 24
Changing Images — Brightness, Grayscale, Filters
Edit pictures by changing their numbers.
- 25
Cropping, Resizing & Flipping
Reshape images for your projects.
- 26
Project: Photo Filter App (Mini)
Build your own set of photo filters.
- 27
Finding Edges & Shapes
How computers detect outlines.
- 28
Colours as Clues — Colour Detection
Find objects by their colour.
- 29
Project: Colour Counter / Traffic-Light
Detect and count colours from the camera.
- 30
Challenge: Pixel Lab
Image-editing puzzles in code.
- 31
What Is Computer Vision? Real-World Uses
Where machines that see are used today.
- 32
Face Detection — How & Where
How phones find faces, and the ethics.
- 33
Hand & Pose Tracking with MediaPipe
Track hands and bodies in real time.
- 34
Project: Drawing in the Air
Paint on screen by moving your hand.
- 35
Using Your Teachable Machine Model in Python
Run a model you trained, now in code.
- 36
Image Classification in Code
Classify images step by step.
- 37
Object Detection — Finding Many Things
Spot several objects in one image.
- 38
Project: Smart Camera Counter
Count people or objects from a camera feed.
- 39
Webcam AI — Real-Time Vision
Build a live vision project.
- 40
Challenge: Computer-Vision Invention
Invent a vision tool that solves a problem.
- 41
What Is a Neural Network?
Brains made of maths, explained simply.
- 42
Neurons, Layers & Weights
The parts of a network, no heavy maths.
- 43
How a Network Learns — Practice & Feedback
How a network improves from mistakes.
- 44
See It Learn — TF Playground Experiment
Watch a neural network learn live.
- 45
Why Models Make Mistakes — Accuracy & Limits
Confidence, accuracy and honest limits.
- 46
Computer Vision & Ethics — Consent & Bias
Surveillance, consent and fairness in vision.
- 47
Capstone Part 1 — Plan Your Vision/Data Project
Choose a real problem and design your build.
- 48
Capstone: Vision or Data-Science Project + Level 3 Review
Build, demo and review your project.
AI Innovator
Go inside large language models, master advanced prompt engineering, build chatbots and multimodal AI apps, dig deep into responsible AI, and finish with an innovator capstone you can show the world. Forty-eight 1.5-hour lessons.
- 01
What Is an LLM? (Deeper)
How large language models actually work.
- 02
Tokens & Next-Word Prediction — Hands-On
See how an LLM breaks up and predicts text.
- 03
Training Data — Why LLMs "Know" Things
Where an LLM's knowledge comes from.
- 04
Strengths, Weaknesses & Hallucinations
What LLMs are great and terrible at.
- 05
Talking to an LLM with Code (First API Call)
Send your first prompt from Python.
- 06
System Prompts — Setting the Rules
Give your AI a role and ground rules.
- 07
Temperature & Creativity
Tune how predictable or creative answers are.
- 08
Challenge: LLM Explorer Lab
Experiment with settings and prompts.
- 09
Prompt Engineering Mastery — Full Toolkit
Every prompting technique in one place.
- 10
Few-Shot & Role Prompts in Code
Use examples and roles from Python.
- 11
Chain-of-Thought Reasoning
Help the AI reason through hard problems.
- 12
Structured Outputs for Apps
Get answers as lists or JSON your app can use.
- 13
Build a Chatbot Part 1 — The Loop
The conversation loop that powers a chatbot.
- 14
Build a Chatbot Part 2 — Personality & Memory
Give your bot a character and memory.
- 15
Build a Chatbot Part 3 — Rules & Safety
Add guardrails so your bot stays safe.
- 16
Giving AI Knowledge — Intro to RAG
Let the AI answer from your own notes.
- 17
Project: "Ask My Notes" Helper
Build a helper that answers from your documents.
- 18
Project: Malaysian Culture Guide Bot
A friendly bot about local food and places.
- 19
AI Agents — When AI Takes Actions
How AI can use tools to get things done.
- 20
Challenge: Chatbot Studio
Design and build your own chatbot.
- 21
Mixing Vision + Language
Apps that see an image and describe it.
- 22
Project: AI Photo Captioner
Generate captions for any photo.
- 23
Voice + AI — Speak & Listen
Talk to your app and have it talk back.
- 24
Project: Voice Assistant
Build a small voice assistant.
- 25
AI + Data — Smart Recommendations
How apps suggest what you might like.
- 26
Project: Recommend-Me App
Build a simple recommender.
- 27
AI for Good — A Community Problem
Find a real problem AI could help solve.
- 28
Project: Accessibility Helper
Build an AI tool that helps someone.
- 29
Generative AI Apps — Story/Art/Game Generators
Make apps that create content on demand.
- 30
Challenge: Multimodal Maker Jam
Combine vision, language and voice.
- 31
Bias, Fairness & Inclusive AI
Build AI that treats everyone fairly.
- 32
Privacy, Consent & Data Rights
Respect people's data and choices.
- 33
Misinformation & Deepfake Detection
Spot and fight AI-made fakes.
- 34
AI Safety — Why Limits Matter
Why AI needs rules and limits.
- 35
Explainability — Can We Trust the Answer?
Asking AI to show its reasoning.
- 36
AI & the Environment
The energy cost of AI, and using it wisely.
- 37
AI Careers & Future Superpowers
Where AI skills can take you.
- 38
The Future of AI — AGI, Robots & Big Questions
Big ideas about where AI is heading.
- 39
Project: AI Ethics Debate & Policy Pitch
Argue and pitch a responsible-AI rule.
- 40
Challenge: Responsible-AI Design Review
Review a project for fairness and safety.
- 41
Capstone Kickoff — Find a Real Problem
Choose a problem worth solving with AI.
- 42
Capstone — Design Your AI Solution
Plan how your AI solution will work.
- 43
Capstone — Build the Core
Build the heart of your AI project.
- 44
Capstone — Add Intelligence
Combine your skills into one smart app.
- 45
Capstone — Test, Fix & Reduce Bias
Make your project reliable and fair.
- 46
Capstone — Polish & Prepare Your Demo
Make it shine and ready to show.
- 47
Capstone — Pitch Practice & Portfolio
Practise your pitch and build a portfolio.
- 48
Capstone Showcase + AI Innovator Final Review
Present your project and graduate as an Innovator.