AI4K12 · CSTA Aligned

The AI curriculum your kid won’t outgrow.

55+ concepts. Eight knowledge areas. End to end.

55+
Concepts
8
Areas
5/5
AI4K12 Big Ideas
Free
to start

Every AI topic that matters.

01

AI Foundations

7 topics
  • What AI actually is
  • Kinds of AI (narrow, general, generative)
  • History of AI
  • AI vs non-AI
  • When AI is the right tool
  • Confidence & uncertainty
  • The AI lifecycle
02

How AI Learns

8 topics
  • Data as the teacher
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Fitting a line (regression)
  • Overfitting & generalization
  • Why labels matter
  • Humans vs AI learning
03

The Machinery

8 topics
  • A single neuron
  • Neural networks
  • Deep vs wide
  • Where knowledge lives (weights)
  • CNNs
  • Transformers
  • Diffusion models
  • Embeddings & vector space
04

AI That Sees

7 topics
  • Face detection & recognition
  • Body pose (33 landmarks)
  • Hand gestures (21 landmarks)
  • Object detection
  • Image segmentation
  • OCR
  • Image captioning & visual Q&A
05

AI That Listens & Speaks

5 topics
  • Sound classification
  • Speech-to-text
  • Text-to-speech
  • Voice recognition
  • Voice cloning
06

AI That Creates

6 topics
  • Image generation (diffusion)
  • Text generation (LLMs)
  • Prompt engineering
  • Pattern continuation
  • Drawing completion
  • Style transfer
07

AI Ethics & Society

6 topics
  • Bias in AI
  • Data privacy & safety
  • Spotting AI-generated media
  • AI and the future of work
  • When NOT to use AI
  • Responsible AI use
08

Computing Foundations

8 topics
  • Bits & binary
  • Files & bytes
  • Programs & OS
  • GPUs & parallel compute
  • Networks & the internet
  • Servers & the cloud
  • How a browser works
  • Digitising the world

Vetted by the standards schools trust.

AI4K12 — Big 5

✓ All 5
  • 1 Perception
  • 2 Representation
  • 3 Learning
  • 4 Natural Interaction
  • 5 Societal Impact

CSTA K-12 — Concept Areas

✓ All 5
  • Data & Analysis
  • Algorithms & Programming
  • Computing Systems
  • Networks & Internet
  • Impacts of Computing

Beyond what standards prescribe.

Train real models

Not simulations — actual classifiers, gesture recognisers, chatbots trained in the browser.

Generative AI, mechanically

Watch noise become an image and attention become a sentence.

Embeddings & semantic search

The vector-space idea behind Google Photos, Pinterest, modern search.

Prompt engineering

A literacy skill. Treated as core, not a parlor trick.

Spotting AI media

Deepfakes, watermarks, telltales — the part safety lessons skip.

The hardware story

GPUs, parallel compute, why AI got fast. CS context standards still miss.

Free to start.