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

Starting 2023-04-26 00:00:00

Apply anytime.
Starting 2023-06-28 00:00:00

Apply anytime.
Starting 2023-10-11 00:00:00
- Apply before 2023-06-28 00:00:00

Language

English

Delivered

Online

Disciplines

Computer Sciences Artificial Intelligence Machine Learning View 134 other Short Courses in Computer Sciences in United Kingdom

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.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

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AI and Machine Learning for Business

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