Artificial Intelligence is rapidly reshaping industries, redefining how organisations make decisions, create value, and interact with customers. In this module, you'll explore what AI really is, how it works, and why understanding its potential, and its limitations, is essential for responsible leadership.

Artificial intelligence may feel like a modern breakthrough, but its roots stretch back over 80 years. In this module, you’ll trace the intellectual and technical evolution of AI, understanding how each generation of research has influenced today’s capabilities. You’ll also explore why expectations often outpace reality, and how tools like the Gartner Hype Cycle help us think more critically about AI’s path from experimental concept to business-ready solution. With this historical context, you’ll be better equipped to evaluate where AI is going, and what questions we should be asking next.

AI is no longer theoretical; it’s powering tools that detect fraud, recommend products, diagnose diseases, and generate content. In this module, you’ll explore the core types of machine learning, the role of neural networks, and the real-world capabilities and limitations of the AI systems used in business today.

This final module consolidates your learning from across the course and invites you to reflect on how AI can be used responsibly and effectively in your own context. You’ll revisit the key themes of prediction, value creation, ethics, and oversight, then apply your knowledge through a peer reviewed assignment that challenges you to create an AI implementation strategy for an insurance company.