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Apply Creative Machine Learning

Discover the creative side of machine learning with this free course using hands-on examples.

2,184 enrolled on this course

Apply Creative Machine Learning
  • Duration4 weeks
  • Weekly study2 hours
  • LearnFree
  • Extra BenefitsFrom $59Find out more

Explore how machine learning is revolutionising the creative industries

From photography to music, creative AI is changing the way we interact with technology.

On this course, you’ll learn the core concepts of what machine learning is, and how machine learning works. You’ll learn how to build simple classification systems that can discriminate between different types of information, and regressions systems that can map interactions onto different outputs, like sliders on a synthesiser.

You’ll explore the full extent of machine learning systems’ abilities, specifically in relation to the creative industries.

What topics will you cover?

  • Basic JavaScript (via a provided crash course as additional content)
  • What machine learning is
  • What creative machine learning is
  • How to create simple machine learning systems in javascript
  • How to better understand core concepts in machine learning
  • Understanding classification
  • Understanding regression

When would you like to start?

Start straight away and learn at your own pace. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

What will you achieve?

By the end of the course, you‘ll be able to...

  • Describe what machine learning is and what kinds of interactive systems it can be used to build
  • Collect and modify your own datasets to build machine learning models
  • Discuss the applications and limitations of classification and regression models in machine learning
  • Design and demonstrate creative machine learning projects using JavaScript
  • Evaluate current uses of artificial intelligence in art, music and the creative industries

Who is the course for?

This course is aimed at people who would like to work in the creative industries and want to know how machine learning can be used in that context. The course is also valuable for students considering a master’s degree in creative computing and want to know what it would involve, or people wanting to become a machine learning engineer in general.

You might also be interested in the other courses in the Essential Creative Technologies collection from UAL Creative Computing Institute, Lancaster University and the Institute of Coding.

What software or tools do you need?

Completing the course will require a basic level of knowledge of modern web development including the programming languages HTML, JavaScript and CSS. You will need a laptop with a webcam to do some of the exercises in this course. Apart from that, all examples and coding activities require an internet browser, preferably Google Chrome or Mozilla’s Firefox.

Who will you learn with?

Mick Grierson is Professor of Creative Computing at UAL Creative Computing Institute.

Researcher and Associate Lecturer at Goldsmiths, University of London

Reader at the Creative Computing Institute, University of London

Who developed the course?

UAL Creative Computing Institute

The UAL Creative Computing Institute (CCI) offers innovative new courses, research opportunities and a public platform to explore computer science and creative practice.

Institute of Coding

The Institute of Coding is a family of learners, businesses and educators creating a new way to develop the digital skills needed at work and beyond.

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