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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Apply Creative Machine Learning certification is a month-long course that only requires a student’s 2 hours in a week time. Developed by UAL Creative Computing Institute, and Institute of Coding, this certification course can be found on the FutureLearn platform. Among all the industries, machine learning is actually causing a revolution in the creative industries ranging from Music to Photography.

Apply Creative Machine Learning certification syllabus is all about the concepts that come under IT, and Computer Science. Any technology we use to interact is actually being changed by Artificial Intelligence. The main thing that this course teaches is the main concepts in machine learning using applied examples in real life.

With this Apply Creative Machine Learning training candidates will come to know how exactly machine learning works, and how simple classification systems are built. This system can help make a discrimination between the information types, and the regression systems that are used for mapping interactions to different outputs. The candidates will be understanding the full capacity of the abilities of Machine Learning keeping in mind its relationship with creative industries.

The Highlights

  • Course on creative machine learning
  • The timing of the course is 4 weeks
  • 2 hours weekly classes
  • Self learn the online course
  • Certificate by FutureLearn

Programme Offerings

  • 4 Weeks Course
  • Online Course
  • 2 Hours Weekly Sessions
  • Certificate of completion
  • Progress Mapping
  • Global Classroom
  • self paced course

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 1564yesFuturelearn

Eligibility Criteria

Educational Qualification

  • Even though candidates with all kinds of educational degrees are allowed but still those with a background in engineering or some knowledge in web development will be preferable. 

Work Experience

  • Work experience is not at all important for this Apply Creative Machine Learning certification by FutureLearn.

Certification Qualifying Details

  • As soon as the candidates have finished their course modules, and their concerned assessments they shall be granted the certification of machine learning.

What you will learn

Machine learning

When the course gets over, candidates can have a basic understanding of the following concepts:

  • Candidates will be able to provide a description of machine learning and explain how it can be used for the development of interactive systems.
  • Students will be able to make a collection of their own datasets so that later they can be used for building tools for machine learning.
  • Machine learning has classification and regression models, and the candidates will be able to suggest a discussion on their applications and limitations.
  • Candidates will be designing and demonstrating learning projects of creative machine learning making use of javascript.
  • Artificial intelligence has many uses, and candidates will be able to explore its recent use in creative industries like music, and art.

Who it is for

Though this course has been intricately designed for all participants, it will be suitable if they have a bachelor's degree in cloud computing, and want to pursue a master's degree or want to become an engineer in machine learning. Even an interest in working in creative industries will be sufficient to take up this course.


Admission Details

Let us all glance at the admission process which has been explained well in the steps below:

Step 1: Find every detail that one needs to know through the official website.

Step 2: Next candidates can hit on the ‘Join course for free’ button.

Step 3: This button will lead the candidates to the registration page.

Step 4: On this page, they will find some personal details that have to be filled up to create a Futurelearn account.

Step 5: Once the account is created, candidates are given admission after which they can pay the course fee.

Application Details

Candidates will find no application form as there isn’t any. But they for sure have to make a new account on the website of FutureLearn as it is necessary for the learning process to begin. New accounts can be made with Facebook or even Gmail. If the candidates have access to none of these then they can fill up a small registration details form with their personal details.

The Syllabus

  • Welcome to the course
  • What is machine learning?
  • Experimenting with image classifiers
  • It's all about the data
  • Building a camera driven instrument
  • Wrapping up Week 1

  • Introduction to Week 2 and the MIMIC platform
  • Introducing supervised learning with RapidLib
  • Exploring sound spaces
  • Machine learning web apps made easy with Learner.js
  • Wrapping up Week 2

  • Introduction to Week 3
  • Classifying with K-Nearest Neighbour
  • Addressing problematic uses of machine learning with art
  • Turning sound into data
  • Building alternative game controllers
  • Wrapping up Week 3

  • Introduction to Week 4
  • All about neural networks
  • Techniques for using regression creatively
  • But is it working?
  • Next steps
  • Wrapping up the course

Instructors

UARTS Frequently Asked Questions (FAQ's)

1: What different tools or software does one need for this programme?

Specifically for this programme, one needs some knowledge of the Programming Languages like javascript, HTML, and CSS. 

2: Which institutes have worked out the course syllabus?

The Apply Creative Machine Learning programme’s syllabus has been worked out by UAL Creative Computing Institute, and the Institute of Coding.

3: What is the cost of getting a digital upgrade?

The cost of the digital upgrade is $64.

4: What is the star rating of the Apply Creative Machine Learning certification course?

The star rating of this programme is 4.9 stars.

5: Can the candidates register for free on FutureLearn’s website?

Yes the registration is completely free for the certification course.

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