AI Coding & Machine Learning

How to Access Projects

Your Ninja trained their own AI models and built real machine-learning projects this week. Every Ninja's projects are published to our class Padlet so you can explore them at home in three steps:

Open the Padlet board for your ninja's week. Every Ninja in the class has a tile with their published AI projects.
Jul 13 AI & ML Padlet →
Find your ninja's tile and click the share link. The link opens your ninja's project in the browser (Teachable Machine, Scratch, or the AI tool they used) — no install required.
Explore, edit, and keep building. Your Ninja can retrain their models, tweak game code, generate new art or music, and share their creations with family.

What We Covered This Week

Throughout the camp, Ninjas explored how AI actually works — not just how to use it, but how to train their own models — using Google Teachable Machine, Machine Learning for Kids, micro:bit V2 with CreateAI, Scratch, and AI art & music tools. Click any topic to expand.

What is AI? Smart Watch & First Models

Learned the 3-step ML process: Get Data → Train Data → Use Data
Trained a dance-recognizing AI with Google Teachable Machine — then tested it with other ninjas dancing (it usually broke!)
Met two big concepts: underfitting (not enough data) and overfitting (AI learns the wrong pattern)
Built a motion-tracking Smart Watch with a micro:bit V2 — trained classes for "exercising" vs. "not exercising"
Wrapped with an AI Art Prompt Battle using Craiyon — class voted on whose prompt produced the best image

Rock-Paper-Scissors: Supervised vs. Unsupervised

Warmed up with Quick, Draw! — Google's AI doodle game that demonstrates the data-then-prediction loop
Learned the difference between supervised learning (labeled training data) and unsupervised learning (find patterns without labels)
Built a webcam-controlled Rock, Paper, Scissors game in Scratch — trained Teachable Machine to recognize hand gestures
Took it further with an unsupervised version where the computer learns from opponent moves to play smarter

Neural Networks: Cargo Dash & Virtual Pet

Toured neural networks — input layer, hidden layers (where the calculations happen), and output layer
Compared neural networks vs. decision trees — two different ways AI makes choices
Built Cargo Dash — a Scratch game controlled by hand gestures through the webcam
Built a Virtual Pet that responds to voice commands — the AI listens, classifies what was said, and reacts

Generative AI: Ninja Storyteller & AI Art

Explored generative AI — AI that creates new things (images, text, music) instead of just classifying
Compared GANs vs. Diffusion models at a kid-friendly level — the two big approaches behind tools like Craiyon
Built a Ninja Storyteller — an AI that generates short stories from prompts
Practiced prompt engineering — the difference between a vague prompt and a great prompt
Wrapped with Say What You See — describing scenes so the AI can recreate them

AI Ethics, Final Project & Camp Celebration

Took on the AI Ethics module — copyright, responsible AI use, what AI can and can't do
Played a Kahoot AI review — revisited every concept from the week
Built a Final Project of their own design — their own ML model, their own training data, their own goal
Wrapped with an AI Music Showcase using Suno AI / AIVA — original AI-generated music to close the camp
Presented their Final Project at the Friday Camp Celebration — parents came to see every ninja's AI build

What's Next?

Camp week is over, but the coding doesn't have to stop. Join us for our next FREE workshop on August 22 — 90 minutes of hands-on coding and AI.

GRADES 2-8

One-Time
90 min

Try coding and AI through beginner-friendly, hands-on projects. Workshops are a great way for kids to explore STEM and see what Code Ninjas is all about.

Enroll Now

Or come in for a free 30-minute trial →

AI Coding & Machine Learning

How to Access Projects

What We Covered This Week

What's Next?

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