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Teach teens computing: Machine learning and AI

Offered By: Raspberry Pi Foundation via edX

Tags

Machine Learning Courses Artificial Intelligence Courses Supervised Learning Courses Unsupervised Learning Courses Reinforcement Learning Courses Neural Networks Courses Data Collection Courses

Course Description

Overview

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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.


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

Taught by

Ben Garside and Mac Bowley

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