12 Educational AI ML Resources For Children In 2024

12 Educational AI ML Resources For Children In 2024

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An educational tool for teaching kids about AI and machine learning, by letting them train a computer to recognise text, pictures, numbers, or sounds, and then make understand with latest technology.


Below is a list of further tools and resources for explaining artificial intelligence to children.



Apps for Good

Apps for Good are a UK-based not-for-profit that creates resources for teaching technology subjects, that they make freely available to schools.
Their Machine Learning course uses Machine Learning for Kids, and supplements it with a range of additional materials like schemes of work, lesson plans, student workbooks, presentations and more.
It makes it easy for schools to deliver ML lessons that put the coding exercises in context.

STEM Learning

STEM Learning and the UK Department for Business, Energy and Industrial Strategy have created resources for teaching the principles of artificial intelligence.
These resources include Machine Learning for Kids projects, supplemented with teaching notes, presentation materials, prompt cards, and practical “unplugged” activities.

Teens in AI

Teens in AI use a combination of hackathons, accelerators and bootcamps to support young people aged 12-18 to explore AI.


Ken Kahn has created resources to allow beginners to create AI programs in Snap! (a visual programming environment similar to Scratch).
While I’ve focused on explaining how AI systems are trained and behave (and the real-world implications), eCraft2Learn has fantastic resources that dive deep into how ML systems actually work.
The neural net Tic Tac Toe project is particularly fascinating, allowing students to experiment with hyperparameters from Snap.

Google Experiments

Simple online experiments to start exploring machine learning, through pictures, drawings, language, and music.

AI Family Challenge

The AI Family Challenge is a free, hands-on AI education program for families. They use Machine Learning for Kids, and supplement it with a lot of additional support, such as technical coaches and mentors, a structured lesson plan and supporting videos.
The program is based around a competition that challenges children to think of their own AI project ideas, with the support of their families and technical mentors.

Raspberry Pi

The Raspberry Pi Foundation provides resources for Code Clubs, with step-by-step instructions for a variety of creative projects.
Their machine learning pathway includes a variety of projects from Machine Learning for Kids.


The AIinSchools programme provides a free lesson plan for teachers to explain AI to Year 9 (aged 13-14).
It includes both unplugged classroom activities, and programming activities for training neural networks on GPUs running on AWS.


AI4ALL run summer camps for high school students in the US that give a detailed technical introduction to AI.


AI-in-a-Box is a bundle of robots, accessories and teaching resources. The kit can be used to teach projects that cover topics like visual recognition, facial recognition, speech generation and speech recognition.

Calypso for Cozmo

Students with programmable Cozmo robots can use the Calypso programming framework to get a hands-on way to experience AI by experimenting with techniques like computer vision and speech recognition.

Magenta.js demos

Online toys that demonstrate different aspects of machine learning, using TensorFlow.js
Did I miss anything let me know in the comments section.
Credits: MachineLearning4Kids.