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Teach teens computing: Machine learning and AI
edX
Course
Beginner
Free to Audit
Certificate

Teach teens computing: Machine learning and AI

Raspberry Pi Foundation

Discover machine learning and how it works, and train your own AI using free online tools.

3 hrs/week4 weeksEnglish16,790 enrolled
Free to Audit

About this Course

Sign-ups for this course on edX are closing on the 16 February 2026 and it will be removed from edX on 31 March 2026. A free, updated version of the course is available now on our new Training Hub. You can access the updated course there today . We hope to see you on the Training Hub soon. --- 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'll Learn

  • 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

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.

Instructors

B

Ben Garside

Learning Manager

M

Mac Bowley

Learning Manager

Topics

Artificial Intelligence
Machine Learning
Data Collection
Teacher Education

Course Info

PlatformedX
LevelBeginner
PacingUnknown
CertificateAvailable
PriceFree to Audit

Skills

الذكاء الاصطناعي
تعلّم الآلة
جمع البيانات
تعليم المعلمين

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