Learning path

AI learning path for kids

A kid-friendly path into AI: spotting AI in daily life, studying smarter, and staying curious — without jargon.

Intended learner: School kids (~10–16) with a trusted adult nearby
Prerequisites: Comfort with age-level reading; A trusted adult for accounts and sharing decisions
Recommended pace: 8 weeks · 1 hr/week · 20-minute sessions
Core spine: 30 lessons · ~4.2 hrs
Electives: 12 lessons · ~1.7 hrs
Difficulty: Beginner
Outcome: Recognize AI in apps, study smarter with prompts, and practice safe sharing.
Capstone project: Prediction playground — A prediction experiment and short explanation of what changed.
Age bands: Ages 10–12: Use shorter sessions with a trusted adult nearby · Ages 13–14: Work independently, then review sharing and sources together · Ages 15–16: Use the full core and choose bonus topics by interest

Core progress0/30 · 0%

Electives progress0/12 · 0%

Start learning →Browse all lessons

In the wild

Catalog picks that match this path — explore products and vendors alongside the curriculum.

Tools

Khanmigo — Tutoring-style practice with adult supervision.
ChatGPT — Simple chat experiments with adult supervision.

Companies

OpenAI — One of the labs kids will hear about in the news.

All tools · All companies

Optional self-check

Find your best starting phase

Use this short self-check to skip familiar foundations without hiding the complete roadmap.

Check only what you can already do without step-by-step help.I can demonstrate the ai literacy outcomes with an example of my own.I can demonstrate the practical ai use outcomes with an example of my own.I can demonstrate the how ai systems work outcomes with an example of my own.I can demonstrate the build and ship outcomes with an example of my own.

0/4 signals · Start from the foundations

Recommended entry: AI literacy. This does not mark lessons complete; use it to challenge out of familiar material.

Start at this phase →

Core roadmap

Learn in phases, build as you go

Open a module when you are ready. The full lesson sequence is still preserved for resume and next-lesson navigation.

Phase 1

AI literacy

Recognize AI, its limits, and the safety decisions that come first.

Foundations and limitsBuild reliable judgment about where AI helps and where it fails.12 lessons

Safety and societyBuild reliable judgment about where AI helps and where it fails.3 lessons

Phase 2

Practical AI use

Prompt, verify, and apply AI to useful work without outsourcing judgment.

Prompt foundationsPractice a repeatable workflow and keep a human verification step.8 lessons

Builds on: AI literacy

Phase 3

How AI systems work

Build a working mental model of language models, retrieval, tools, and agents.

Model foundationsConnect system behavior to the technical ideas underneath it.6 lessons

Builds on: Practical AI use

Phase 4

Build and ship

Turn the concepts into tested projects and portfolio evidence.

Classical ML & visionComplete hands-on labs and keep evidence of what works.1 lessons

Builds on: How AI systems work

01Prediction: your first ML idea9m