Fundamentals
Artificial Intelligence (AI) describes a series of computer technologies that are capable of learning from data to perform tasks commonly thought to require human intelligence, such as analysing data, making predictions, recommendations or decisions.
Some information about the learning material found on this page:
- the learning material on this page is suitable for all users
- there is no need to complete all learning material; choose what is relevant to you
- all learning material is free, but may require the creation of a free account to access
- some learning material contains practical exercises requiring a licence; exercises can be skipped if necessary
Learning Outcomes
Based on the learning material you choose, you will be able to:
- define AI, its capabilities, and its potential applications across various domains
- describe AI concepts, such as: the disciplines that sit within the AI field, methods that AI uses to find connections and make predictions, and ways that humans can interact with AI systems
- recognise the potential impact of AI on organisational culture and strategy
Learning Material
Artificial Intelligence (AI) – Introduction
IBM eLearning covering the history of AI and different technologies that sit within the AI field.
Leverage AI Tools and Resources
Microsoft written course discussing responsible AI, and how to embed in everyday business function.
What is Generative AI?
LinkedIn Learning visual course exploring GenAI, how it works, model types, and ethical considerations.
Introduction to Generative AI – Art of the Possible
Amazon Web Services (AWS) eLearning covering GenAI use cases, risks, and benefits.
Introduction to AI – Google
Google visual course introducing AI, how it works and the importance of human oversight.
Google AI essentials
Google course extensively exploring AI, productivity gains, prompting and responsible use.