AI for Fire Engineering Basics

Overview

AI for Fire Engineering Basics gives fire engineers a clear, practical understanding of how modern AI systems work and how they can be responsibly applied in fire engineering work. Through structured modules, you will build foundational AI literacy, explore common fire engineering use cases, and learn how to evaluate AI outputs with professional scepticism and engineering judgement.

Learning objectives

• Build foundational AI literacy by understanding what AI systems can and cannot do in fire engineering contexts.
• Identify common misconceptions that lead to over- or under-reliance on AI tools.
• Evaluate fire engineering use cases where AI can support initial design assessments, design reviews, fire strategies, FRAEWs and audits.
• Apply responsible-use principles rooted in professional duty, accuracy checks against the source, and safe handling of client data.
• Use a structured framework to scope tasks, safeguard inputs, ground outputs in the guidance, and confirm results before anything is issued.