Artificial Intelligence with Scratch

In this course, kids learn how to train simple AI models and use them to build fun games and projects in Scratch — a hands-on introduction to the real-world power of machine learning.

Designed for ages 10–13

Course Length

3 learning module of 3 months each with 10 weekly learning sessions

Live Group Sessions

Sessions are live, online, and meet weekly on the same day and time

Small Group Size

Maximum 5 students per group for individual attention

Expert Mentors

Mentors are tech professionals working in U.S. companies

Upcoming Sessions

Starts

OCTOBER 2025

Ends DEC

Weekly 90-minute session

  • Mentors will set the group schedule.

  • Parents can choose a group from the available options on the platform.

  • Groups meet once a week at the same day and time.

  • We’ll confirm the exact start date as the course gets closer.

About this course

This course introduces kids to the world of artificial intelligence and shows them how machines can learn from examples — just like people do. Using Machine Learning for Kids, they’ll train simple AI models and bring them to life by building games and projects in Scratch.

The course is divided into three modules, each one building new skills and exploring a different way AI is used in real life. In each session, students complete one module. They’ll start with the basics of machine learning, then move on to creating interactive projects that recognize text, images, or sounds.

  • Age: 10-13 years old

  • Level: beginner to advanced

  • Prior knowledge: none required

  • Structure: 3 progressive modules of 10-lessons each

  • Coding language: Scratch

  • Mentors: employees of US tech companies

  • Module duration: 10 online sessions, 1.5 hours each

Learning Modules

This program is made up of 3 learning modules that help kids gradually explore how artificial intelligence works. All students begin with the first module, which introduces the basics of machine learning through simple, hands-on projects. In later modules, they’ll build more advanced AI-powered games and tools using text, image, or sound recognition.

Students need to sign up for each session they want to attend. If a student has already completed a previous module, we’ll place them in the next level when they enroll again.

Resources

What you need at home

  • A computer, laptop, or tablet (phones won’t work)

  • Working webcam and microphone

  • Stable internet connection

  • A gmail email address

M1: Artificial Intelligence in Scratch – Beginner

Kids are introduced to the basics of artificial intelligence and machine learning by training simple models in Machine Learning for Kids. They’ll create fun Scratch projects using text or image recognition to see how machines can learn from examples.
Skills learned: What AI is, how machines learn, training simple models, using AI in Scratch, creative project-building

M2: Artificial Intelligence in Scratch – Intermediate

Students dive deeper into machine learning concepts and build interactive projects that respond to voice, images, or user inputs. They’ll work with more complex data sets and see how different types of AI models behave in real-world situations.
Skills learned: Text and sound recognition, image classification, testing and improving models, building AI-driven games

M3: Artificial Intelligence in Scratch – Advanced

In the final module, kids use advanced models to build smart, multi-step projects — like chatbots or interactive quizzes that make predictions. They’ll learn how to combine AI tools creatively and think critically about how AI is used in everyday life.
Skills learned: Using pre-trained models, combining AI features, designing real-world applications, debugging complex logic

Need help getting set up?Don’t worry — we’ll guide you step by step once you sign up. You’re not alone.

What Is Scratch?

Scratch is a free, kid-friendly programming language developed by MIT. It uses colorful blocks to help children learn to code by building stories, games, and animations — no typing required. It’s fun, visual, and perfect for beginners.

More than just coding, Scratch helps children develop algorithmic thinking, creativity, and problem-solving skills from an early age — all through play and exploration. These are valuable skills that will help them succeed in any future career, not just in technology.

Curriculum we use

Our course is built on the Machine Learning for Kids platform — a trusted educational tool designed to help children learn about artificial intelligence through hands-on, creative projects.

Developed using IBM’s machine learning technology, this curriculum guides students as they train real AI models and apply them in Scratch projects. Lessons are structured to encourage exploration, problem-solving, and critical thinking — all while helping kids understand how AI is used in the world around them.

Give your child a head start that lasts a lifetime

Early mentorship helps kids stay in school, do better academically, and earn more later in life.
Our program connects your child with real tech professionals who guide them through fun, hands-on projects.

Have questions?

Frequently asked questions

What devices are needed to join a course?2025-06-26T18:52:55-04:00

Your child will need a computer or laptop with a working webcam and microphone, plus a stable internet connection. Tablets are only allowed for the Game Development with Scratch course. Phones are not supported.

When exactly do courses start?2025-06-26T18:56:46-04:00

We run 3 sessions per school year — in fall, winter, and spring. We announce the exact start date 2–3 weeks in advance, once mentors are confirmed.

Which course is right for my child?2025-06-26T18:52:19-04:00

Courses are grouped by age and level. Check the recommendation in the course description or reach out to us for help choosing.

  • For kids under 12, we recommend Scratch courses.

  • For students in 7th grade or above, Python is a good fit.

  • High school students can choose either Python or C++.

Who are the mentors? How do you make sure my child is safe?2025-06-26T18:54:35-04:00

Our mentors are tech professionals or university students in computer science. Every mentor goes through a detailed selection process that includes interviews, reference checks, and a required training session before they begin teaching. Learn more about our mentor selection process here.

2025-06-26T19:58:15-04:00

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