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-module 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.

Prerequisites

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

What 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.

Learning objectives

After completing these four modules, you will be able to:

• 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