Teaching a Robot to Learn
Your child puts a robot in a maze. First try it crashes. Fifth try it navigates perfectly. They did not reprogram it. They built a system that learns.
This is where your child learns how AI actually learns. Not by memorizing rules, but by finding patterns in data and improving through trial and error.
They start with the big picture: what is machine learning? Then they get hands-on. They collect real sensor data, discover what happens when the data is incomplete or biased, and build their first classifier: a system that can tell the difference between categories of things.
The most powerful moment is reinforcement learning. Your child puts the robot in a maze. First attempt: it crashes into every wall. By the fifth attempt, it navigates perfectly. They did not reprogram it between attempts. They built a system where the robot earns positive feedback for progress and negative feedback for mistakes, and it uses that feedback to improve on its own.
Watching a robot visibly get smarter before your eyes is the most powerful demonstration of AI there is. Your child built that learning system. That is not coding. That is AI engineering.
At a glance
- 8 sessions (1 hour each)
- Ages 10-16
- Advanced
- In person, Coquitlam
- All equipment provided
Prerequisite
Foundation + 1 AI module
What your child shows you at the end
The Robot That Gets Smarter
Place the robot in a maze. First attempt: it bumps into every wall. Second attempt: fewer bumps. By the fifth attempt, it navigates perfectly. Your child did not reprogram it. They built a learning system where the robot learns from its own mistakes.
What you see: A robot that literally gets smarter before your eyes. No reprogramming. It learned.
What your child feels: "I did not just code it. I taught it how to learn. That is real AI."
Sound Detective
Your child trains the robot to classify sounds: a clap means "go," a snap means "stop," a whistle means "spin." Then they challenge family members to control the robot with sounds. Only the right sounds work. Your child explains: "I trained it with 50 samples. It knows the difference."
What your child will experience
Understand how AI learns
Your child explores the difference between learning from examples, learning from feedback, and finding patterns on its own.
Good data versus bad data
They collect sensor data and see first-hand how changing the data changes the result. "Garbage in, garbage out" becomes real.
Build a classifier
Is this a cat or a dog? Your child trains a model to recognize categories and measures how accurate it is.
Predict what happens next
If the light drops to a certain level, what should the robot do? Your child builds systems that predict and act.
Watch a robot get smarter
They build a reward-based learning system. The robot tries the maze, gets feedback, and improves on every attempt.
Present the self-improving robot
The final project is a robot that starts clumsy but learns to navigate, recognize, and adapt over time.
This module is shaped by your child
We do not teach from a fixed script. During early sessions, we observe what excites your child most, then guide them to set a personal goal for this module. The content and pace are tailored to match their curiosity, so every session feels like it was made for them.
Ready to get started?
All equipment provided on-site. Private 1-on-1 with a real AI expert.