Apply Creative Machine Learning
Discover the creative side of machine learning with this free course using hands-on examples.
4,781 enrolled on this course
Duration
4 weeksWeekly study
2 hours100% online
How it works
Apply Creative Machine Learning
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 (IoC) is a national collaboration of employers, universities, and charities, on a mission to provide people from all walks of life with access to digital learning and career opportunities.
Ways to learn | Buy this course | Subscribe & save | Limited access |
|---|---|---|---|
| Choose the best way to learn for you! | $79/one-off payment | $244.99 for a whole year Automatically renews | Free |
| Fulfill your current learning need | Develop skills to further your career | Sample the course materials | |
| Access to this course | tick | tick | Access expires 17 Feb 2025 |
| Access to 1,000+ courses | cross | tick | cross |
| Learn at your own pace | tick | tick | cross |
| Discuss your learning in comments | tick | tick | tick |
| Certificate when you're eligible | Printed and digital | Digital only | cross |
Cancel for free anytime |
Ways to learn
Choose the best way to learn for you!
Subscribe & save
$244.99 for a whole year
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
$79/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 17 Feb 2025
Find out more about certificates, Unlimited or buying a course (Upgrades) Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply. | |||
Find out more about certificates, Unlimited or buying a course (Upgrades)
Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply.
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
Learner reviews
Learner reviews cannot be loaded due to your cookie settings. Please and refresh the page to view this content.
Do you know someone who'd love this course? Tell them about it...
More courses you might like
Learners who joined this course have also enjoyed these courses.
Browse more in IT & Computer Science
