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Ages 8–15 · 4 Weeks · Live Sessions

AI for Kids

Four focused weeks covering the AI landscape, safety & ethics, prompt engineering, and vibe-coded projects — everything a child needs to use AI confidently, safely, and creatively.

4 weeksMax 5 learnersLive sessionsExpert instructorsParent dashboardAges 8–15
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What your child will be able to do

Four weeks, four transformations. Every skill is practical and immediately usable.

AI tool literacy

Which model does what

Safety & ethics

Spot fakes, stay protected

Prompt engineering

Get great results every time

Vibe coding

Build real projects with AI

Week-by-week breakdown

4 weeks, 4 transformations

Each week builds directly on the last — from understanding the AI landscape to using it safely, prompting it expertly, and finally building with it.

1

Week 1 · AI Landscape

Intro to AI — Which Model Does What?

Before using any AI tool well, you need to know what each one is built for. This week learners tour the AI landscape — language models, image generators, voice tools, video AI, and search engines — and build a mental map for choosing the right tool every time.

Learning objectives

  • Identify the main categories of AI tools and what each is designed for
  • Understand why different models give different results for the same prompt
  • Choose the right AI tool for a given task (writing, images, code, voice, research)
  • Recognise the strengths and limitations of today's leading AI models

Hands-on activity

The AI Model Showdown

Learners give the same prompt to three different AI tools and compare the results — quality, tone, accuracy, and creativity. They then present their findings and build a shared "which tool for which job" reference guide.

Topics covered

  • Language models: ChatGPT, Claude, Gemini — what makes each different
  • Image generators: Midjourney, DALL·E, Stable Diffusion
  • Voice and audio AI tools
  • AI search vs traditional search
  • How AI models are trained (in plain English)

Skills developed

AI tool literacyCritical comparisonDecision making
2

Week 2 · Safety & Ethics

AI Safety & Ethics — Think Before You Click

AI is powerful — and that power can be misused. This week learners build the habits and mindset to stay safe, spot manipulation, and think ethically about the AI they use and encounter. These skills protect them for life.

Learning objectives

  • Identify and explain at least four ways AI can be used harmfully
  • Spot deepfakes, AI-generated misinformation, and synthetic content
  • Understand how AI systems can embed and amplify bias
  • Apply an ethical framework when deciding whether and how to use AI

Hands-on activity

Deepfake Detective

Learners are shown a curated mix of real and AI-generated images, audio clips, and text. They must identify which are fake, explain the telltale signs, and score points for correct reasoning — building genuine detection skills they'll use in real life.

Topics covered

  • Deepfakes: how they're made and how to spot them
  • AI-generated misinformation and how it spreads
  • Bias in AI — where it comes from and real-world consequences
  • Privacy: what AI tools do with your data
  • AI and academic integrity — where the line is

Skills developed

Media literacyCritical thinkingEthical reasoning
3

Week 3 · Prompt Engineering

Prompt Engineering — Talk to AI Like a Pro

The difference between a mediocre AI response and a brilliant one is usually the prompt. This week learners master the techniques that professional prompt engineers use — and learn to consistently get results that feel like magic.

Learning objectives

  • Write clear, structured prompts that produce reliable, high-quality AI output
  • Apply at least five prompt engineering techniques (role, format, chain-of-thought, examples, constraints)
  • Iterate and improve prompts based on the output received
  • Build a personal prompt library for tasks they do regularly

Hands-on activity

Prompt Engineering Olympics

Learners compete across four challenges — rewrite a bad prompt, extract specific information from a long text, generate a creative output with strict constraints, and build a multi-step chain-of-thought response. Scored on quality and consistency.

Topics covered

  • Anatomy of a great prompt: role, context, task, format, constraints
  • Chain-of-thought prompting — making AI reason step by step
  • Few-shot prompting — showing AI what you want with examples
  • Prompt iteration: diagnosing and fixing bad outputs
  • System prompts and personas

Skills developed

Prompt engineeringStructured thinkingIteration
4

Week 4 · Vibe Coding

Vibe-Coded AI Projects — Build Something Real

Vibe coding means describing what you want to build in plain language and letting AI write the code. No prior programming experience needed. This week learners go from idea to deployed project in a single session — and walk away with something they built themselves.

Learning objectives

  • Use AI to generate, explain, and iterate on working code
  • Build a complete mini-project using only natural language instructions
  • Debug and improve AI-generated code by describing the problem
  • Deploy and share a working AI-built project

Hands-on activity

Vibe Code Your Project

Each learner picks a project idea (a quiz app, a personal website, a simple game, a productivity tool) and vibe-codes it to completion using AI — no traditional coding allowed. They demo their working project to the group at the Week 4 showcase.

Topics covered

  • What is vibe coding and why it matters
  • Choosing a project brief and breaking it into AI instructions
  • Prompting for code: how to describe what you want precisely
  • Debugging by description — telling AI what went wrong
  • Hosting and sharing your project

Skills developed

Vibe codingProject thinkingPresenting

Everything included

No hidden extras. Every learner gets all of the following from day one.

4 live, expert-led sessions

One 60-minute live session per week with a real instructor — not a pre-recorded video.

Maximum 5 learners per group

Small groups guarantee every child gets individual attention and direct feedback every week.

Hands-on activity every week

Every session ends with a practical challenge — no passive watching, ever.

Vibe-coded project

Every child ships a real AI-built project in Week 4 and presents it to the group.

Parent progress dashboard

Weekly summaries of what your child learned, created, and what's coming next.

Completion showcase

Every child presents their Week 4 project live to the group — a proud, memorable moment.

Ready to give your child a head start?

4 weeks. Live sessions. Max 5 learners. Your child leaves with real AI skills — and a project they built themselves.