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Course Content
The terminology and general principles, including benefits and types of AI
Get introduced to key AI terminology and core principles, explaining that artificial intelligence is about systems learning from experience and mimicking human cognitive abilities, and situates AI within concepts like universal design and the Fourth Industrial Revolution. It also outlines the benefits and types of AI, ranging from narrow (task-specific) to general systems, highlighting how these technologies can enhance efficiency, innovation and decision‑making across various domains.
The basic process of machine learning (ML)
Explore how ML systems learn patterns from data through a cycle of training, testing, and refining models. It covers key stages including data collection, selecting algorithms, training on labelled data, evaluating performance, and improving accuracy through iterative adjustments.
The use of AI in an organisation
Explore how AI can be applied within organisations to enhance operations, improve decision-making, and drive innovation. It also considers practical factors such as aligning AI use with business goals, ensuring staff are trained to work alongside AI systems, and maintaining accountability, transparency, and ethical standards in deployment.
The potential future impact of AI on society and business
This section considers how AI could reshape both society and business in the future, with potential impacts on employment, productivity, and the nature of decision-making. It also reflects on broader societal implications, such as shifts in skills demand, ethical considerations, and the importance of regulation to guide responsible AI development.
