Teach teens computing: Machine learning and AI

Course Description

From self-driving cars to determining someone's age, artificial intelligence (AI) systems trained with machine learning (ML) are being used more and more. But what is AI, and what does machine learning actually involve?

In this four-week course from the Raspberry Pi Foundation, you'll learn about different types of machine learning, and use online tools to train your own AI models. You'll find out about the types of problems that machine learning can help to solve, discuss how AI is changing the world, and think about the ethics of collecting data to train a machine learning model.

If you want to be able to help young people learn about AI, you may also be interested in our "Understanding AI for educators" course. Rather than covering machine learning in detail, Teach teens computing: Understanding AI for educators focuses on giving you the knowledge and skills you need to help young people learn about the different types of AI and how they affect the world of work and learning. You'll find out about the types of problems that AI tools can help to solve, try some out for yourself, and consider how you can discuss the risks, opportunities, and ethical considerations surrounding AI technology with young learners.

What you will learn

Over the following four weeks, you will:

• Demonstrate several working machine learning models

• Explain the different types of machine learning, and the problems that they are suitable for

• Compare supervised, unsupervised, and reinforcement learning

• Discuss the ethical issues surrounding machine learning and AI

Syllabus

This course will cover:

• The history of AI

• What are AI and machine learning?

• Using AI for classification

• What problems can AI solve?

• Collecting and preparing data for machine learning

• Potential problems with AI

• The machine learning process

• Supervised learning: Decision trees and nearest neighbour

• Unsupervised learning

• Reinforcement learning

• How neural networks work

• Writing a good ML resource

Prerequisites

You should already have an understanding of what a computer algorithm is. Some of the practical tasks also require familiarity with the Scratch programming language.

Frequently Asked Questions

Who is this course for?

This course is for people who would like to know more about machine learning and particularly how it works, without having to understand the maths involved.

What software will I need?

The practical tasks in this course require access to the Scratch, Machine Learning for Kids, and Teachable Machine websites.

One of these tasks will also require the use of a webcam.