Artificial Intelligence Overview


In this course you will learn how to define and differentiate between Artificial Intelligence (AI) and Machine Learning (ML), the philosophies underpinning AI, and how to identify and use appropriate tools to build AI/ML modelling for real-world problem solving. You will learn how to construct simple correlation and regression models before moving on to construct more complex modelling to solve problems using a variety of evolutionary algorithms. Finally, we examine collective intelligence with a focus on swarm optimisation, a cutting-edge research area in which ML-enabled agents work together to achieve common goals.

Course Overview

Week 1

Philosophical foundations: Artificial Intelligence (AI) vs. Machine Learning (ML)

Week 2

Learning paradigms: Supervised learning, unsupervised learning and reinforcement learning

Week 3

Real-life applications of ML – case studies

Week 4

ML vs. expert/rule-based systems

Week 5

Ethical considerations of AI and ML


Following the successful completion of this course learners will receive a Certificate of Learning.


The Staffordshire E-Skills & Entrepreneurship Gateway (SEGway) is part funded by the European Social Fund.

Delivery method
Blended learning

This is a 5-week course with one 1–2 hour session per week.

Start date

January 2022

School of Digital, Technologies and Arts

Entry requirements

This module is open to individuals who have an interest in Artificial Intelligence or are currently in an  Artificial Intelligence related role.


This course is free to all Staffordshire based SMEs, students, graduates and start up businesses. 

How to apply

To apply for this course, please email

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