← AI & Machine Learning program
Advaslearning Hub · Coding for Kids

AI & Machine Learning — Syllabus Outline

A 4-level AI journey for curious minds aged 10+ — from your first chat with an AI to training your own models and building real AI apps.No-code first, then light Python for computer vision and large language models.

4
Levels
28
Lessons written
164
Lessons planned
59
Projects & games

How the programme is structured

The programme runs across 4 levels holding 28 written lessons and 164 more planned, each level at 48 lessons · 72 hours. Every level below lists what it covers and what the student walks away having built.

Need the lesson-by-lesson breakdown? Open the full lesson plan — every lesson with its code, type and milestone.

Level 1

AI Explorer

48 lessons · 72 hoursEarns · AI Explorer📋 Lesson list

What AI is, how machines learn, generative AI, the basics of prompt engineering, and using AI safely — all with no coding. Forty-eight 1.5-hour lessons that turn curiosity into AI literacy.

🚀 What you build

  • 🧩 Challenge: AI Detective Hunt — Spot and sort AI vs not-AI around you.
  • 🧩 Challenge: Train-the-Teacher (Unplugged) — Be the model — learn a rule from examples, no screen.
  • 🛠️ Project: AI Study Buddy — Build a set of prompts that help you learn.
  • 🧩 Challenge: Prompt Battle — Whose prompt gets the best answer?
  • 🛠️ Project: My AI Comic Strip — Combine story and image prompts into a comic.
  • 🛠️ Project: AI Newsletter for My Class — Plan, write and fact-check a class newsletter.
  • 🧩 Challenge: Creative AI Showcase — Make and present your best AI creation.
  • 🛠️ Project: My Responsible-AI Pledge — Make a poster and pledge for safe AI use.
  • 🛠️ Capstone Part 1 — Plan My AI Helper — Pick a real task and plan an everyday AI helper.
  • 🛠️ Capstone: My Everyday AI Helper + Level 1 Review — Build and present your helper; review the level.
28 lessons
Written
20 lessons
Planned
10
Projects & challenges
Level 2

ML Maker

48 lessons · 72 hoursEarns · ML Maker📋 Lesson list

Train your own image, sound and pose models with Teachable Machine and Machine Learning for Kids, build AI Scratch games, and level up your prompt engineering — still no code. Forty-eight 1.5-hour lessons of real model-making.

🚀 What you build

  • 🧩 Challenge: Design a Dataset on Paper — Plan classes and examples for a model — unplugged.
  • 🛠️ Project: Recycling Sorter — Sort waste by camera with a trained model.
  • 🛠️ Project: Hand-Sign Translator — Recognise hand signs and show the meaning.
  • 🧩 Challenge: Build-a-Classifier Jam — Train the best classifier you can in one session.
  • 🛠️ Project: Voice-Command Controller — Control a project with spoken commands.
  • 🛠️ Project: Dance-Move / Fitness Coach — Detect moves and give live feedback.
  • 🛠️ Project: Smart Pet-Cam Alert — Spot your pet on camera and send an alert.
  • 🧩 Challenge: AI Gadget Invention — Invent a useful gadget powered by your models.
  • 🛠️ Project: Kindness Detector — Flag unkind messages and suggest kinder ones.
  • 🛠️ Project: Chatbot in Scratch (Intents) — Build a chatbot that understands what you mean.
  • + 9 more projects and challenges in this level
0 lessons
Written
48 lessons
Planned
19
Projects & challenges
Level 3

Vision & Data Scientist

48 lessons · 72 hoursEarns · Vision & Data📋 Lesson list

Step into light Python in Google Colab to do real data science and computer vision, and take a gentle first look inside neural networks. Forty-eight 1.5-hour lessons with small, scaffolded notebooks — no heavy maths.

🚀 What you build

  • 🧩 Challenge: Python Warm-Up Lab — Short coding puzzles to build confidence.
  • 🛠️ Project: Analyse a Real Malaysian Dataset — Investigate local weather, exams or transport.
  • 🧩 Challenge: Data Detective — Crack a mystery hidden in a dataset.
  • 🛠️ Project: Photo Filter App (Mini) — Build your own set of photo filters.
  • 🛠️ Project: Colour Counter / Traffic-Light — Detect and count colours from the camera.
  • 🧩 Challenge: Pixel Lab — Image-editing puzzles in code.
  • 🛠️ Project: Drawing in the Air — Paint on screen by moving your hand.
  • 🛠️ Project: Smart Camera Counter — Count people or objects from a camera feed.
  • 🧩 Challenge: Computer-Vision Invention — Invent a vision tool that solves a problem.
  • 🛠️ Capstone Part 1 — Plan Your Vision/Data Project — Choose a real problem and design your build.
  • + 1 more projects and challenges in this level
0 lessons
Written
48 lessons
Planned
11
Projects & challenges
Level 4

AI Innovator

48 lessons · 72 hoursEarns · AI Innovator📋 Lesson list

Go inside large language models, master advanced prompt engineering, build chatbots and multimodal AI apps, dig deep into responsible AI, and finish with an innovator capstone you can show the world. Forty-eight 1.5-hour lessons.

🚀 What you build

  • 🧩 Challenge: LLM Explorer Lab — Experiment with settings and prompts.
  • 🛠️ Project: "Ask My Notes" Helper — Build a helper that answers from your documents.
  • 🛠️ Project: Malaysian Culture Guide Bot — A friendly bot about local food and places.
  • 🧩 Challenge: Chatbot Studio — Design and build your own chatbot.
  • 🛠️ Project: AI Photo Captioner — Generate captions for any photo.
  • 🛠️ Project: Voice Assistant — Build a small voice assistant.
  • 🛠️ Project: Recommend-Me App — Build a simple recommender.
  • 🛠️ Project: Accessibility Helper — Build an AI tool that helps someone.
  • 🧩 Challenge: Multimodal Maker Jam — Combine vision, language and voice.
  • 🛠️ Project: AI Ethics Debate & Policy Pitch — Argue and pitch a responsible-AI rule.
  • + 9 more projects and challenges in this level
0 lessons
Written
48 lessons
Planned
19
Projects & challenges