📣

Turn Screen Time into Skill Time this Summer! Math, English & Coding programs now open  

AI Explorers · Ages 8–11 (Grades 3–5)

Kids Who Understand AI —
Not Kids Who Lean On It

A live, 1-on-1 AI course where your child trains real AI models, spots mistakes like a detective, and learns exactly how the AI around them works. No open chatbots. No homework shortcuts — ever.

1:1 Live ClassesLevel: BeginnerPlatform: Teachable Machine
Child with laptop learning AI
🎯 Rock: 92% confident
Quick Draw!
Training complete ✓
🕵️ AI Detective
when ▶️ clicked
Blockly Games
24 sessions
From "What is AI?" to independent capstone
40+
Countries with active beGalileo learners
0
Open chatbots or generative AI tools — ever
4.8/5
Google & Facebook reviews

This is a course about how AI thinks — not a course that thinks for your child

Every week, kids ask AI to guess their doodles, recommend their next show, and answer their questions — but almost none of them know how it actually works. AI Explorers opens up that black box.

Structured, Age-Appropriate Curriculum

24 sessions building step by step from "What is AI?" to an independent capstone — no prior AI or coding knowledge assumed. Aligned to the AI4K12 Five Big Ideas framework used by leading K-12 AI education initiatives worldwide.

Real Tools, Zero Coding

Kids train actual AI models on Google Teachable Machine and Quick Draw! — the same neural-network technology used in industry, made accessible with zero syntax. Real AI, not toy simulations.

Build to Learn, Not Watch to Learn

Every concept is followed by a hands-on activity — training a model, running an experiment, building a project. Kids retain AI concepts far better by doing than by watching.

The AI Detective Mindset

Woven through all 24 classes — students question what AI tells them, test why models get things wrong, and ask "how do I know that's true?" before taking any AI answer at face value.

What Will Your Child Learn?

A 24-session journey from "What is AI?" to a live capstone presentation — six modules, each building on the last.

What Is AI?

Classes 1–4. Students build a working definition of AI, learn to spot it in everyday apps, and compare what humans and machines are each naturally good at.

Highlight activity: Watch a real neural network guess doodles live with Google Quick, Draw! — and then try to fool it.
Class 1
What is Artificial Intelligence? Building a working definition through real examples from everyday life.
Class 2
AI in the wild — spotting AI in music apps, streaming, search, and games. What's AI and what isn't?
Class 3
Humans vs. machines — what each is naturally good at, and why AI can't replace human judgement.
Class 4
Live with Google Quick, Draw! — watch a neural network learn to recognise doodles in real time, then test its limits.

Teaching a Machine

Classes 5–9. Students discover how machine learning actually works — through games, hands-on training, and a critical experiment in why fair data matters.

Highlight activity: Train a real image and audio classifier on Google Teachable Machine — including a hands-on experiment showing how biased training data makes a model worse.
Classes 5–6
"Guess My Rule" — feel how machines learn from labelled examples, without any code.
Class 7
Train your first image classifier on Google Teachable Machine. What makes a good training dataset?
Class 8
Train an audio classifier. Compare image vs. sound — how does the machine decide?
Class 9
The bias experiment — deliberately train a model unfairly and watch it get worse. Why fair, varied data matters.

Think Like an AI Detective

Classes 10–13. Build a three-class Rock-Paper-Scissors AI, learn that AI predictions can be wrong, and practice the most important skill an AI user can have: questioning the output.

Highlight activity: Build a Rock-Paper-Scissors AI — then deliberately break it by giving it bad data, and diagnose why it failed.
Classes 10–11
Build a 3-class Rock-Paper-Scissors AI classifier from scratch. Plan the training data, train the model, test it.
Class 12
When AI gets it wrong — learning to spot errors, diagnose why, and understand model confidence scores.
Class 13
Asking better questions — a communication skill for hobbies and personal projects, never a homework shortcut.

AI That Talks & Creates

Classes 14–17. Students learn how chatbots, voice assistants, and AI-generated art actually work — through guided discussion and hands-on unplugged activities. Zero open AI tools.

Important: Students are never placed in front of an open chatbot or generative AI tool. All activities use closed, no-code environments.
Classes 14–15
How do chatbots actually work? Voice assistants, predictive text — the logic behind "smart" responses.
Class 16
AI-generated art — how does a machine make an image? What it's doing vs. what it looks like it's doing.
Class 17
Unplugged story-generator design activity — students design the rules for an AI storyteller, by hand.

Smart Machines & Being Fair

Classes 18–21. Students explore recommendation systems, self-driving car logic, and what it means for AI to treat people fairly — all through hands-on activities.

Highlight activity: Program a self-driving car through Blockly Games Maze, then explore how YouTube and Netflix recommendations actually work using our "Your Taste Profile" simulator.
Classes 18–19
Self-driving car logic — program a car through Blockly Games Maze. How does AI navigate a world it can't see?
Class 20
How recommendation systems work — our interactive "Your Taste Profile" simulator unpacks YouTube and Netflix.
Class 21
Fairness, privacy, and safe digital habits — what it means for AI to treat people fairly, and how we can notice when it doesn't.

Capstone Project

Classes 22–24. Students plan, build, train, and pitch an original AI mini-project of their own choosing — then present it live, exactly like a real AI builder would.

The capstone is entirely their own: your child plans it, trains it, and demos it live to you on the final call.
Class 22
Project planning — choose a problem, define what AI will learn, and design the training data strategy.
Class 23
Build and train — collect data, train the model, test it, and iterate based on results.
Class 24
Live demo — present the finished project to parents. Explain what it does, how it was trained, and what they'd improve next.

"Understand, Not Lean On" — what that actually means

That headline isn't just a slogan. Here's what your child actually walks away able to do by Class 24.

🔍

Understands how AI works — not just how to tap an app

Your child can explain, in their own words, how a machine "learns" from labelled examples — not just which button makes it guess right. They understand the why, not just the what.

🎯

Directs AI with intention — not just along for the ride

From training their first Teachable Machine classifier to planning their own Capstone Project, your child chooses what to build and how. AI becomes something they steer, not something that happens to them.

🕵️

Questions what AI tells them — the AI Detective habit

Woven through every module: spotting when a model gets it wrong, testing why, and asking "how do I know that's true?" before taking an AI's answer at face value. A habit that lasts well beyond this course.

🛠️

Creates with AI — not just plays with it

The Capstone Project is entirely their own: your child plans it, trains it, and demos it live to you on the final call. They leave as builders, not just users.

Not another course that teaches kids to use ChatGPT

One non-negotiable rule, built into every session.

Most "AI courses" for kids today are really about using AI tools — prompting a chatbot, generating essays, getting quick answers. Parents keep telling us the same thing: they want their child to understand AI, not depend on it. That's why AI Explorers has one rule: no session, activity, or take-home task ever uses AI to complete schoolwork.

🛡️

No open chatbot access, ever

Every tool is a closed, no-code sandbox — Google Teachable Machine, Quick Draw!, Blockly Games. Nothing your child can type a question into and get a written answer back.

🕵️

The "AI Detective" mindset, all 24 classes

Question what AI tells you, don't just accept it. This identity is threaded through every module — not introduced once and forgotten.

🎯

"Asking Better Questions" for real-world use

Teaches communication clarity for hobbies and personal projects — never how to phrase a prompt to get an essay written.

Every worksheet is designed by hand

Drawing, writing, and reasoning tasks a child does themselves — with AI as the subject being studied, never the tool doing the studying.

You're always in the loop

Every beGalileo course comes with full parent visibility — because you should know exactly what your child is learning and how they're doing.

Parent App

Track progress, session notes, and class updates in real time. iOS & Android.

Weekly Progress Reports

Detailed insight into what was covered and how your child performed — every week.

Monthly Parent-Teacher Connect

Discuss progress and ask questions directly with your child's instructor each month.

Academic Success Manager

A dedicated point of contact keeps your child on track and you informed throughout.

Why should your child learn AI now?

1

A Genuinely New Kind of Literacy

AI already decides what your child watches, hears, and sees online. Understanding how it works is becoming as foundational as reading a map or a graph — and the earlier it's learned, the more naturally it becomes part of how they think.

2

Builds Real Critical Thinking

The "AI Detective" identity trains kids to question AI outputs instead of trusting them blindly — a habit that protects them well beyond this course and into every context where AI appears.

3

Hands-On, Not Just Conceptual

Every module includes a real tool — Teachable Machine, Quick Draw!, Blockly — so kids build understanding instead of memorising definitions. Active learning sticks.

4

Aligned to Global AI Education Standards

Curriculum is aligned to the AI4K12 Five Big Ideas framework — the same reference point used by leading K-12 AI education initiatives worldwide, from the US to Singapore.

AI Literacy — Why It Matters Now
Reading
Essential
Maths
Essential
Coding
Growing
AI literacy
Emerging fast
AI4K12 Framework
AI Explorers is aligned to the Five Big Ideas in AI — the global benchmark for K-12 AI education.
PerceptionRepresentationLearningNatural InteractionSocietal Impact
The same framework used by leading K-12 AI initiatives worldwide — US, Singapore, UK.

Frequently asked questions

Everything parents ask us before booking — answered honestly.

Still have questions? Chat with us

No. AI Explorers never gives students access to an open chatbot or generative AI tool. Every activity uses closed, no-code sandbox tools (Google Teachable Machine, Quick Draw!, Blockly Games) so your child learns how AI works hands-on, without the risk of using it to shortcut schoolwork.

No — that's the opposite of what this course is for. No session, activity, or capstone project in AI Explorers uses AI to complete schoolwork, write essays, or answer homework questions. The goal is understanding how AI works, not outsourcing schoolwork to it.

None. AI Explorers assumes zero prior exposure to AI or coding and builds from the ground up across 24 sessions. The tools used require no syntax or programming — just curiosity.

Real, working AI models — an image classifier, a sound classifier, a Rock-Paper-Scissors AI, a self-driving-car maze solver, and a final capstone AI project they choose, train, and present themselves.

AI Explorers is designed for grades 3–5 (roughly ages 8–11). Our sister course, AI Innovators, covers grades 6–10 with a more advanced curriculum.

Yes — a free 60-minute trial class covers a condensed version of the course so you and your child can experience the teaching style firsthand. No card required, no commitment.

Sessions are 50 minutes each, typically once or twice a week, scheduled around your child's routine. The full 24-session course completes in approximately 3–6 months depending on frequency.

Yes — because every class is 1-on-1, instructors adjust pacing and depth to match your child's comfort level throughout the course.

Book a free trial class above, or reach out via WhatsApp — our team will guide you through enrolment and answer any remaining questions.

Give your child the tools to understand AI — not depend on it

Book a free trial class and see the AI Detective mindset in action. No commitment, no card required.

Download Curriculum
✓ No open chatbots✓ Zero coding required✓ 1-on-1 live classes✓ 60-min free trial
whatsapp link