Study cover for AI and Machine Learning for Business
Short Course Online

AI and Machine Learning for Business

University of Southampton

1 months
Duration
1500 GBP/full
1500 GBP/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

This 6-week, part-time online course is ideal to gain new knowledge needed to apply AI technology at work.

Visit the official programme website for more information

Overview

This AI and Machine Learning for Business short course from the University of Southampton is led by data science experts who will give you real examples about how AI can be used in a work environment.

The aim of your tutors is to make complex data science ideas accessible. During this course, you can discuss with them real-life examples encountered at your job.

Advantages of studying this course

  • Assistance throughout the course

One of the advantages of the AI and Machine Learning for Business course is the fact that it is tutor-led. Even if it is an online course, the help of tutors is as important as in a physical classroom. The teachers in this course are meant to inspire and motivate you. They are data science experts who are able to deliver valuable and complex information. Also, they can provide you access to relevant documents if you need them.

  • Hands-on learning useful for your day-to-day job

Learning is based on real-life business situations to demonstrate how you can immediately use the power of data science at work. You will have access to a learning platform usually accessible anytime and anywhere from a smartphone tablet or desktop.

Evaluation methods and feedback 

In this course, four assignments are needed. For each assignment, your tutor will give a mark and comments. At the end of the course, you will be awarded with a downloadable certificate. 

After successfully completing the course, you’ll be able to:

  • Understand the capabilities of AI technology but also its limitations 
  • learn about the benefits that AI can bring to a business
  • Identify the components needed to deliver efficient AI systems 
  • Understand the ethical, moral and legal implication of AI usage in different areas of our society 
  • Identify various functions of data needed for effective AI solutions 
  • Learn about software that can be used to draw meaning from natural language images and numerical data enabling deeper insights

Programme Structure

Topics include:

  • What AI is and its main classes of applications and capabilities
  • The differences between different types of AI technologies
  • Core technologies associated with AI
  • The relationship between AI and other technology trends such as big data, cloud computing, and the Internet of Things (IoT)
  • The role of data in AI
  • The challenges in applying AI within organisations
  • The limitations of AI

Audience

Business practitioners, analysts, consultants, managers, executives, etc.

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Basic understanding of technology. Previous coding experience is not essential.

Tuition Fee

To alway see correct tuition fees
  • International

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.
  • EU/EEA

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

AI and Machine Learning for Business
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University of Southampton

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