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AI Innovators · Ages 11–16 (Grades 6–10) · No Prior AI Experience Required

Real AI Skills. Real Thinking. Zero Prior Experience Needed.

A live, 1-on-1 course where your teen builds real ML models, investigates documented AI bias cases, and gets a teacher-led look at generative AI — without ever using AI to shortcut schoolwork.

1:1 Live ClassesLevel: Beginner-FriendlyPlatform: Teachable Machine + ML for Kids
Teen with laptop learning AI
📊 Accuracy: 89%
Neural Network
Supervised Learning ✓
⚖️ Bias detected
Stop · Think · Check
Sentiment: Positive
24 sessions
From AI foundations to independent capstone
2 bias case studies
Real documented cases, not simplified fables
0
Student chatbot keystrokes — ever
4.8/5
Google & Facebook reviews

Depth over surface. Real models. Real thinking.

This isn't a course about using AI tools. It's a course about understanding how they work — and building them.

Stands Alone as a First Course

Module 1 starts from absolute zero — no prior AI or coding exposure assumed. Every student begins on equal footing.

01

Live 1-on-1 with a Real Instructor

Not a recording. Not a group class. Every session adapts in real time to your teen's pace, comfort, and questions.

02

Real Tools, Real Trained Models

Image classifiers, sentiment models, object detection — all on Google Teachable Machine and Machine Learning for Kids. Not simulations.

03

Depth Over Surface, Always

Real documented bias case studies, live accuracy experiments, neural network walkthroughs — the same methodology as real ML work, in 50 minutes.

04

What Will Your Teen Learn?

24 sessions across 6 modules — from zero AI knowledge to an independent capstone project addressing a real-world problem.

Foundations of AI

Classes 1–5. Distinguish AI, machine learning, and data science from zero. Contrast narrow vs. general AI, compare human vs. machine intelligence, and build the AI Detective identity that runs through all 24 classes.

Starts from absolute zero: No prior AI or coding exposure assumed — every student is on equal footing from Class 1.
Class 1
What is AI? Distinguishing AI from software, from automation, and from science fiction.
Class 2
AI vs. Machine Learning vs. Data Science — what each term actually means, with real examples.
Class 3
Narrow AI vs. General AI — what today's AI can and can't do, and why that matters.
Class 4
Human intelligence vs. machine intelligence — where each genuinely excels and where each falls short.
Class 5
Introducing the AI Detective — building the critical questioning habit that runs through the whole course.

Data, the Fuel of AI

Classes 6–9. Build real datasets, distinguish structured vs. unstructured data, and study two real, documented AI bias case studies under the "Fair Learning" framework.

Highlight: The hospital algorithm bias case — how bias can hide behind a proxy variable even when a sensitive category is never directly used. A concept most adult AI courses skip.
Class 6
What is data? Structured vs. unstructured. Building a real dataset from scratch.
Class 7
Bias Case Study 1 — a documented real-world AI failure. What went wrong and why.
Class 8
Bias Case Study 2 — the hospital algorithm's proxy problem. How bias hides without using a sensitive variable directly.
Class 9
The "Fair Learning" framework — practical questions to ask about any AI dataset before trusting its outputs.

How Machines Learn

Classes 10–14. Train real supervised-learning classifiers, explore unsupervised clustering, look inside a neural network, and run a live small-data-vs-large-data accuracy experiment.

The accuracy experiment: Students actually run the experiment — train on small data, test, then add more data and watch accuracy change. Real methodology, real insight.
Classes 10–11
Supervised learning — train a real image classifier on Teachable Machine. What makes a good vs. bad training set?
Class 12
Unsupervised learning — clustering explained through hands-on activity. When you learn without labels.
Class 13
Inside a neural network — intuitive walkthrough of how inputs become outputs, without the maths.
Class 14
The accuracy experiment — build and evaluate a 3-class classifier independently. Try the interactive demo below.
Live Accuracy Experiment — add more training data and watch accuracy change
Small dataset
0%
Medium dataset
0%
Large dataset
0%
The same experiment students run live in Class 14.

Think Like an AI Detective

Classes 15–18. Diagnose real categories of AI failure, practice asking clear questions scoped strictly to non-academic contexts, spot deepfakes with "Stop, Think, Check," and solve applied AI Detective case files.

"Asking Better Questions" is explicitly scoped: communication clarity for hobbies and personal projects only — never for schoolwork or essay writing.
Class 15
Categories of AI failure — when and why models get things wrong. Diagnosing errors, not just noticing them.
Class 16
Asking better questions — communication clarity for personal projects. Explicitly not for schoolwork.
Class 17
Deepfakes and misinformation — the "Stop, Think, Check" 3-step method with real examples.
Class 18
AI Detective case files — solve applied real-world AI problems using everything learned so far.

Language, Vision & Generative AI

Classes 19–21. Train a sentiment classifier and an expanded object-detection model, then watch a teacher-only generative AI demo — purely creative, zero student typing, zero open chatbot access.

Class 21 — Generative AI: Instructor screen-shares and types pre-planned prompts. Students contribute ideas out loud. No student ever touches the keyboard.
Class 19
NLP basics — train a real sentiment classifier using Machine Learning for Kids. Positive, negative, neutral.
Class 20
Computer vision — train an expanded object-detection model on Teachable Machine. What "seeing" means for a machine.
Class 21
Generative AI demo (teacher-controlled) — how LLMs produce text. Students observe and question. No student keyboard access.

Ethics & Capstone

Classes 22–24. Debate real ethical dilemmas in AI, distinguish "thinking with AI" from "thinking for you," then plan, build, and pitch an original capstone project addressing a real-world problem.

The capstone is the student's own: They choose the problem, build the model, evaluate it, and pitch it live — entirely their own thinking and work.
Class 22
AI ethics debate — real dilemmas: facial recognition, predictive policing, AI in hiring. No easy answers.
Class 23
Capstone build — choose a real-world problem, define the ML approach, build and evaluate the model.
Class 24
Live pitch — present the finished project to parents. Explain the problem, the approach, the model, and what comes next.

"Real AI Skills, Real Thinking" — what that actually means

Here's what your teen actually walks away able to do by Class 24 — in their own words, not ours.

1
Understands how AI works
Not just how to use one
Your teen can explain supervised vs. unsupervised learning, how a neural network processes an input, and why a model's accuracy depends on its training data — concepts most peers only know as buzzwords.
2
Directs AI with intention
Not just along for the ride
From training their first classifier to planning their own Capstone, your teen decides what problem to solve and how to build toward it. AI becomes a tool they steer with purpose, not one they passively consume.
3
Questions what AI produces
Not accepting it blindly
The AI Detective thread runs from diagnosing model failures to studying real bias case studies to watching the one teacher-led generative AI demo with a critical eye — not a trusting one.
4
Creates with AI
Building it, shaping it, solving problems
The Capstone is entirely the student's own: they choose a real-world problem, build and evaluate a model to address it, and pitch the finished project live to parents.
Student presenting their AI capstone project

AI Innovators vs. most AI courses for teens

Most AI courses for middle schoolers lean heavily on generative tools — prompting ChatGPT, generating essays, "vibe coding." That's not the same as understanding how AI actually works. Here's exactly what's different.

Feature❌ Most "AI courses" for teens✅ AI Innovators
Open chatbot / ChatGPT accessStudents use freely, including Class activitiesZero student access — including the generative AI class
Homework / essay shortcutsOften demonstrated or implicitly encouragedExplicitly prohibited in every session and module
Bias educationSimplified examples or skipped entirelyTwo real documented case studies, incl. the proxy problem
ML model trainingWatch a demo or use a pre-built toolStudents build and evaluate classifiers themselves
Accuracy experimentDiscussed conceptuallyRun live in class — small vs. large dataset, real results
Capstone projectAI-assisted or guided templateStudent's own problem, model, and pitch — entirely theirs
Generative AI lessonStudent types prompts into an open toolTeacher-only screen share — students observe and question
beGalileo Parent App
Weekly Report · Module 3
Priya completed accuracy experiment — scored 92%
Parent-Teacher Connect · Tue 4pm
Ms. Divya — discuss bias case study discussion
Next class in 2 days
Module 3, Class 13 — Neural Network Walkthrough
COURSE PROGRESS
13 of 24 sessions54% complete

You're always in the loop

Every beGalileo course comes with full parent visibility — because you should know exactly what your teen 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 teen performed — every week, every session.

Monthly Parent-Teacher Connect

Discuss progress and address questions directly with your teen's instructor each month.

Academic Success Manager

A dedicated expert keeps your teen on track and you informed across all 24 sessions.

Why should your teen learn AI now?

1
Literacy

AI Literacy Is Becoming a Core Skill

From college applications to future careers, understanding how AI systems work — not just how to prompt them — is becoming a genuine differentiator. Starting at grades 6–10 is exactly the right window.

2
Judgment

Builds Judgment, Not Just Skill

Studying real bias case studies and practicing "Stop, Think, Check" builds critical judgment that matters far beyond any one AI tool — and protects teens from being misled by AI outputs.

3
Hands-On

Hands-On Machine Learning, Without Code

Students train real supervised and unsupervised models and run genuine accuracy experiments — the actual methodology of ML, made accessible without a programming prerequisite.

4
Standards

Aligned to Global AI Education Standards

Curriculum aligns 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.

Frequently asked questions

Everything parents ask before booking — answered honestly.

Still have questions? Chat with us

No. AI Innovators never gives students access to an open chatbot or generative AI tool — not even in the generative AI class. Class 21 is a teacher-controlled, screen-shared demonstration only; students never type into the tool themselves.

No. This is the core design constraint of the entire course: no session, activity, or capstone project uses AI to complete schoolwork, write essays, or answer homework questions. Even the "Asking Better Questions" module is explicitly scoped to non-academic communication.

No. AI Innovators is built to stand alone as a student's first AI course. Module 1 assumes zero prior exposure and includes a dedicated foundation sequence for students who've never touched AI before.

Real trained models — image classifiers, a sentiment/text classifier, an object-detection model — plus an independent capstone AI project addressing a real-world problem the student chooses themselves.

AI Innovators goes deeper: real documented bias case studies, supervised vs. unsupervised learning, NLP and computer vision projects, and a teacher-led generative AI demonstration. It's built for grades 6–10 and assumes more independent reasoning.

Grades 6–10, roughly ages 11–16. For grades 3–5, see our AI Explorers course.

Yes — book a free trial class to experience a live session firsthand. No commitment, no card required.

50-minute sessions, typically once or twice a week, scheduled around your teen's routine. The full 24-session course completes in approximately 3–6 months depending on frequency.

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

Give your teen real AI skills — without handing them a shortcut

Book a free trial class and see how AI Innovators builds understanding, not dependency.

Download Curriculum
✓ No open chatbots — ever✓ Stands alone as first AI course✓ 1-on-1 live classes✓ 60-min free trial
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