AI Classes for Kids in Singapore
From the maths that AI is built on to real AI-powered projects — hands-on AI literacy classes for children aged 5 to 14+, teaching kids to understand and build with AI, not just use it.
An AI Path for Every Age
AI literacy builds across all four stages at The Lab, from the maths it's built on to competition-level application. Pick the stage that fits your child's age to see the full curriculum.
Kinder
Your child's first taste of the maths AI is built on — counting, sorting, grouping and pattern-spotting through play, laying the exact foundations their later AI lessons will build on.
Explore KinderJunior
Kids get their first real AI literacy lessons — understanding, at an age-appropriate level, how machines use data and patterns to make decisions, learned alongside their own LEGO robotics builds.
Explore JuniorCoder
AI literacy goes hands-on with Python — kids learn how machine learning models are actually trained and used, then apply it in real, portfolio-worthy projects in an open-lab format.
Explore CoderThe Lab X
Competition-level AI through the NRC AI track — applying machine learning to real competitive projects alongside advanced Python, competitive programming and Unity game development.
Explore The Lab XWhat Is AI for Kids?
Artificial intelligence allows computers and machines to recognise patterns, interpret information, make predictions and respond to their environment. At The Lab, children explore these ideas through practical, age-appropriate projects rather than simply learning definitions.
What Do Kids Learn in AI?
AI literacy at The Lab is broken into concrete, teachable pieces — the mix shifts as children move up through the programme.
Understanding what AI is, where it is used and how it affects everyday life.
Learning how computers can identify patterns in information.
Understanding that AI systems learn from information and examples.
Introducing how systems can improve their predictions based on data.
Exploring how computers can identify and interpret images or objects.
Understanding how AI systems can use information to determine an appropriate response.
Teaching children to think critically about how AI should and shouldn't be used.
Why Learn Coding Alongside AI?
AI tools can generate content and code, but understanding programming gives children the ability to understand, evaluate and create with technology — rather than simply use it.
Explore Coding for KidsTeaches logic and computational thinking.
Builds on those foundations to create intelligent systems.
AI Meets Robotics
AI becomes particularly exciting when children can see intelligent systems interact with the physical world. At The Lab, students progress from programming robots to exploring how AI can help robots recognise information, respond to their surroundings and make decisions — Junior students already build and train their own AI-powered robot.
AI Pathway by Age
The same age structure as the programmes above, mapped to what's actually AI-appropriate at each stage.
Understanding technology and introductory intelligent systems — never "machine learning for five-year-olds."
AI-powered projects and hands-on experimentation, built on the Junior robotics curriculum.
Intelligent systems, real projects and problem solving, connected directly to the Coder programme.
The advanced technology pathway — competition-level AI applied to real projects.
What Can Kids Create With AI?
Parents searching "AI classes for kids" often wonder: is this just ChatGPT? Here's what hands-on actually looks like.
Robots that sense their environment and respond intelligently.
Projects that respond to input using AI concepts.
Projects that identify and interpret images or objects.
Applications that use AI concepts to do something useful.
Games where AI ideas are part of how they actually work.
Small, hands-on experiments that make an abstract idea concrete.
We Don't Just Teach Kids How to Use AI.
AI education should go beyond showing children how to ask an AI chatbot for answers. We focus on helping students understand how intelligent systems work, how AI connects with coding and robotics, and how to use technology to create their own projects — not a one-off chatbot demo or a generic AI workshop.
Learning to Use AI Responsibly
Learning to verify rather than accept output at face value.
Understanding that intelligent systems are not infallible.
What personal information AI systems collect and why it matters.
Why AI systems can reflect the biases of the data they learn from.
Building habits that carry into how they'll use AI as they grow up.
AI supports a decision — it doesn't replace a person's judgment.
AI Projects & Achievements
Not just "we teach AI" — proof of what Lab students actually build and compete with.
Why Choose The Lab for AI?
AI concepts are introduced according to the child's developmental level.
Students understand the programming foundations behind technology.
Students apply AI concepts to physical systems.
Children create and experiment rather than only watch demonstrations.
Students learn to question, evaluate and use AI responsibly.
AI learning develops alongside the child's coding and robotics abilities.
AI Classes for Kids — FAQ
What age can children start learning AI?⌄
From age 5, in Kinder — through the maths and pattern-spotting AI is built on, not AI concepts directly.
Is AI suitable for primary school children?⌄
Yes — Junior introduces age-appropriate AI literacy alongside their robotics builds.
What do kids actually learn in AI classes?⌄
AI literacy, pattern recognition, data, machine learning concepts, computer vision, decision-making and responsible use — see "What Do Kids Learn in AI?" above.
Does AI education involve coding?⌄
Yes — coding is the foundation AI is taught on top of, from Coder onward with Python.
Does my child need to know coding before learning AI?⌄
No. Kinder and Junior build AI-relevant thinking without requiring prior coding experience.
Do you teach ChatGPT?⌄
No — our focus is on how intelligent systems actually work and how to build with AI, not on using a chatbot.
Will my child learn machine learning?⌄
Machine learning concepts are introduced from Coder onward, hands-on with Python, and applied further in Lab X's NRC AI track.
What is the difference between AI and coding?⌄
Coding teaches the logic and computational thinking that AI is built on top of — see "Why Learn Coding Alongside AI?" above.
How does AI relate to robotics?⌄
AI lets robots sense, recognise and respond intelligently rather than just follow fixed instructions — see "AI Meets Robotics" above.
Is AI safe for children to learn?⌄
Yes — lessons are age-appropriate, hands-on and include responsible-use topics like checking information and understanding bias.
Do children build AI projects?⌄
Yes — from AI-powered robots to computer vision and AI-assisted apps, see "What Can Kids Create With AI?" above.
Does The Lab teach responsible AI use?⌄
Yes — see "Learning to Use AI Responsibly" above.
