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Artificial Intelligence & Machine Learning

AI & Machine Learning | Wize Computing Academy
AI & Machine Learning Curriculum

The Future Is AI.
Your Child Should Be Ready.

We don't just teach kids to use AI — we teach them to understand it, question it, build with it, and shape it responsibly. From ages 6 to 18, our three-layer pathway takes students from first awareness to confident creation.

3Progressive Layers
5AI Big Ideas
11+Hands-On Projects
6–18Age Range
Explore

Three Beliefs That Shape
Everything We Build

Our AI curriculum isn't a bolt-on module. It's built on a philosophy that guides every project, every tool choice, and every classroom moment.

📖

Literacy First, Coding Second

Students understand what AI is, why it matters, and how it impacts them before they write a single line of code. Coding is a tool, not the goal. Understanding comes first — always.

⚖️

Ethics at Every Layer

Responsible AI use isn't a standalone lesson — it's woven into every project. From the youngest learners asking "Is that fair?" to advanced students auditing real AI systems for bias.

🚀

Create, Don't Just Consume

Students are makers, not just users. They train ML models, build chatbots, generate media, audit AI products, and present their work. Every project ends with something the student created.

The Wize AI Pathway

Three progressive layers that match how children actually develop as thinkers and creators. Students don't skip layers — they grow through them.

🔍
Layer 1

AI Discovery

Ages 6–9 · Grades 1–3

"I can recognize AI around me and understand what it does."

Students discover AI in voice assistants, face filters, and smart toys. Through play-based activities, they learn to recognize AI, question how it works, and understand that AI learns from data — not magic.

AI vs. Non-AIData & ExamplesClassificationEthics Talks
🧠
Layer 2

AI Thinking

Ages 9–12 · Grades 4–6

"I understand how AI learns and I can train my own models."

Students train real machine learning classifiers, explore how data quality affects results, identify bias, and build decision trees. They follow the 7 Steps of ML used by professional data scientists.

Train ML ModelsData QualityBias DetectionDecision Trees
Layer 3

AI Creation

Ages 12–18 · Grades 7–12

"I can build AI-powered projects and think critically about AI."

Students build chatbots, design games with AI opponents, conduct algorithmic bias audits, create content with generative AI, and debate AI policy. Every project mirrors real industry practice.

ChatbotsGenerative AIBias AuditingPrompt Engineering

The Spiral Principle

Five Big Ideas in AI, revisited at every layer with increasing depth. A concept introduced through play in Layer 1 is explored through experimentation in Layer 2 and applied through creation in Layer 3.

Big Idea 01👁️

Perception

Discovery

Talk to voice assistants; explore face filters; identify sensors

Thinking

Train image, sound & pose classifiers; understand how AI "sees"

Creation

Build voice skills; computer vision; deploy models in real apps

Big Idea 02🧩

Representation & Reasoning

Discovery

Sort objects; play 20 Questions; draw simple decision trees

Thinking

Build decision trees; explore search algorithms & game strategy

Creation

Design knowledge systems; build chatbots; write algorithms

Big Idea 03📈

Learning

Discovery

AI learns from examples, not rules; see pattern learning in action

Thinking

Train ML models; distinguish supervised, unsupervised & reinforcement

Creation

Write reward functions; experiment with neural networks; tune performance

Big Idea 04💬

Natural Interaction

Discovery

Talk to voice assistants; discover they sometimes misunderstand

Thinking

Build sound classifiers; explore NLP basics & translation

Creation

Build voice skills & chatbots; master prompt engineering

Big Idea 05🌍

Societal Impact

Discovery

"Can a computer be a friend?" Simple ethics conversations

Thinking

Bias exercises with real AI; "Design a Fair AI" activities

Creation

Algorithmic bias audits; deepfake analysis; AI policy debates

AI4K12 Framework CSTA Standards ISTE Aligned CSTA & AI4K12 2025 Common Core ELA MIT DAILy Curriculum

Empowering Young Entrepreneurs

Preparing young minds for an AI-powered future

We live in an AI-powered world that is rapidly changing the way we work and live. Every job function will be affected by AI in the near future, if not already.

According to McKinsey Global Institute:

400-800 Million jobs will be displaced worldwide by 2030

555-890 Million new jobs will be created by 2030

Unlock the Power of AI & Machine Learning

How AI is Transforming the Future Why Kids Need to Learn AI Today

Hands-On Learning with Real-World AI Projects

Build Smart Chatbots, Self-Driving Models & More. Explore generative AI-Powered Creativity in Storytelling & Video Production

Future-Ready Skills for Young Innovators

Develop Problem-Solving and Critical Thinking Skills Learn AI Tools Used by Industry Experts

Generative AI

AI Adventures: Comic Quests & Video Ventures

Enroll Now & Start the AI Journey!

Unlock Your Child’s AI
Potential Today!

Give your child a head start in AI & Machine Learning with hands-on projects, creative storytelling, and cutting-edge technology.

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