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Apply Creative Machine Learning

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

4,015 enrolled on this course

A robot playing a violin and two icons: a robot painting and a man using machinery

Apply Creative Machine Learning

4,015 enrolled on this course

  • 4 weeks

  • 2 hours per week

  • Digital certificate when eligible

  • Intermediate level

Find out more about how to join this course

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 join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

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.

Course Leader, MSc Data Science and AI for the Creative Industries at UAL Creative Computing Institute.

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.

Ways to learn

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Ways to learn

Choose the best way to learn for you!

Subscribe & save

$27.99 /month

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$59/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access

Free

Sample the course materials

  • Access expires 30 Dec 2022

Find out more about certificates, Unlimited or buying a course (Upgrades)

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

Want to know more about learning on FutureLearn? Using FutureLearn

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