🤖 AI Bootcamp: Ages 7–14

Artificial Intelligence
for Kids: Learn, Build
& Explore AI

Your child will train their own real AI model — no prior coding experience needed. Hands-on, beginner-friendly, and genuinely fun.

8–14
Age range
Zero
Coding needed
1 AI
Built per student
Introduction to Artificial Intelligence at The Young Maker
Introduction to Artificial Intelligence at The Young Maker
Curriculum Breakdown

What Kids Learn in the AI Bootcamp

Three structured learning blocks, each building on the last — from understanding what AI is, to building their own.

1

Understanding Artificial Intelligence

Students explore the foundations of AI through guided discussion and real-world examples.

  • What makes a machine "intelligent" vs. simply programmed
  • The difference between AI, Machine Learning, and automation
  • Everyday examples of AI they already interact with
2

How Image Recognition Works

Hands-on exploration of computer vision — one of the most exciting branches of AI today.

  • How cameras and sensors feed data into AI systems
  • How AI distinguishes between different objects, gestures, and faces
  • Where image recognition is used: medical scans, security, retail, and more
3

Train Your Own AI Model

Every student trains a real AI using Google Teachable Machine — just like a real AI engineer.

  • Collect their own training data (images of facial expressions)
  • Label and organise data into categories
  • Run training and observe accuracy in real time
  • Test, refine, and improve their model
Age Guidance

Who Is This Bootcamp For?

No prior experience required. Here's how the bootcamp fits different age groups.

Ages 7–9

Exploration & Discovery

Great introduction through guided demonstrations and play-based activities. Focus on exploration and curiosity.

Ages 10–12

Ideal Entry Point

Students engage fully with the training project and can extend with more complex datasets.

Ages 13 & Above

Critical Thinking & DSA Prep

Deeper exploration of AI ethics, bias in data, and real-world implications. Strong DSA preparation.

Learning Outcomes

What Students Take Away

Beyond technical skills — lasting, transferable abilities your child will use for life.

🤖
A Working AI Model

Trained themselves, saved and ready to share.

🧠
Conceptual Understanding

Machine Learning, image recognition, and data training.

🔍
Digital Literacy

Understanding both the power and limits of AI.

💪
Growth Mindset

Testing, failing, and improving — how engineers think.

STEM Confidence

Especially for students who think tech isn't for them.

🛡️
Responsible AI Use

Ethics and digital safety built in throughout.

Sample Project

The Emotion Recognition AI

Each student builds a real AI that identifies human facial expressions through a webcam in real time. This mirrors workflows used by engineers at Google, Apple, and Meta.

  • 1 Collect training data — images of happy, sad, surprised expressions
  • 2 Label and organise the data into categories
  • 3 Run the training process and monitor accuracy live
  • 4 Test, refine, and present a working model
Teachable Machine — Live Preview
😊Happy
😢Sad
😲Surprised
Accuracy
94%
Built by a student. Trained in one session.
Parent FAQs

Common Questions

No. This bootcamp is designed for complete beginners. We introduce all concepts from scratch using accessible, visual tools — no code required.
Students work on laptops provided by The Young Maker. The main tool is Google Teachable Machine — a free, browser-based AI platform requiring no installation.
Rather than writing code, students focus on data, training logic, and AI thinking. It's a different — and complementary — skill set to programming.
Students can continue with our Core Programmes in Python or robotics, or explore our Deepfakes & Digital Safety workshop — a natural follow-on for AI ethics.
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