Have a look inside the class
What Your Child Will Create
1. Avoiding the Monster
Students will train a game character to avoid obstacles (like monsters), showing how ML can guide decision-making.
2. Chatbots
Children will build a simple chatbot that can hold a basic conversation, understanding how machines “talk” back.
3. Finding an Object in a Picture
Children will highlight parts of images to train the computer to locate specific objects. This shows object detection in action.
4. Recognizing Movie Posters
Students will upload posters and train the computer to spot different movies. They’ll learn how visual data can be categorized.
5. Rock, Paper, Scissors with a Computer
Children will teach the computer how to play this classic game. They’ll see how a machine can “decide” and respond.
6. Smart Assistants (like Siri, Alexa)
Kids will create a mini smart assistant that listens and responds, just like Siri or Alexa, learning about voice AI.
And 6 More Projects +
7. Tic-Tac-Toe
Kids will play against a computer that learns strategies to win. This teaches them how algorithms improve with practice.
And 6 More Projects
Your Child Will Create:
🐾 Sort Cute Animals – Arrange animal pictures like a mini wildlife expert.
✊🖐✌ Rock-Paper-Scissors vs Computer – Beat AI at a classic game.
🎬 Movie Poster Detector – Recognize famous films instantly.
📮 Mail Sorting Bot – Organize letters like a post office pro.
🤯 Confuse the Computer – Trick AI into making silly mistakes.
😆 Insult the Computer – Teach humor to machines.
📰 Language Detective – Spot different languages in newspapers.
🔍 Find Objects in Images – Become a picture puzzle solver.
🎙 Smart Assistant Skills – Build tools like Siri & Alexa.
💬 Chatbots – Create your own talking virtual friend.
👾 Avoid the Monster – Outsmart a chasing enemy in a game.
⭕❌ Tic-Tac-Toe AI – Play and win against the computer.
😜 Double Confusion Mode – Take computer trickery to the next level.
⚖ Bias Buster – Discover and fix unfair AI decisions.
Perfect for Curious Young Minds
Ideal for kids aged 7–14 who love technology, problem-solving, and creativity. No prior coding required.
What Parents Say:
Rina S.
My 10-year-old absolutely loved this course! She built her first AI project in just 2 weeks.
Rony T.
My son couldn’t stop talking about the projects! He now explains AI concepts better than I can.
Tarek
This course made learning tech so much fun! My 9-year-old built a game that recognizes animals.
📚 About the Author & the Book
Author Bio
Dale Lane is a software developer and educator known for making machine learning fun and accessible for children. With years of experience working on IBM Watson and AI education projects, Dale’s mission is to ensure AI is not just for adults, but a powerful tool that children can explore and enjoy.
About the Book
Machine Learning for Kids is a project-based guide that teaches kids how artificial intelligence works in the real world. Packed with 14 fun, hands-on projects, it helps children develop logic, creativity, and problem-solving skills.
This course is built upon the proven project ideas and teaching methods from the book, allowing your child to learn AI while playing and creating.
Quick Facts
📖 Edition: Illustrated, 2021
🏢 Publisher: No Starch Press
🔢 ISBN: 9781718500563
📄 Length: 392 pages
🖥 Subjects: AI, Data Science, Machine Learning, NLP, Algorithms
Enroll Today & Start Learning!
Frequently Asked Questions:
This course is designed for kids aged 7–14 years. The lessons are beginner-friendly, so no prior coding experience is needed.
Yes. A basic laptop or desktop with internet connection is enough — no special software is required. Everything runs online.
The course is fully online with pre-recorded guided lessons and hands-on projects. Kids can learn at their own pace, anytime, anywhere.
Absolutely! All learning happens in a secure, kid-friendly environment, with no exposure to unsafe or harmful content.
Parents and kids get access to step-by-step instructions, video tutorials, and direct support if they get stuck on a project.