Mini Map

Applied artificial intelligence

TRC6901

Synopsis

The unit provides an engaging exploration of the artificial intelligence (AI) domain, emphasising both traditional and generative AI. You will delve into the principles of traditional AI, acquiring skills in classification and regression tasks, essential for solving real-world problems in industrial settings. Subsequently, the unit transitions into the realm of generative AI, offering insights into its transformative applications within manufacturing and service industries, where autonomous data generation takes centre stage. The unit also examines rational and non-relational databases, elucidating their pivotal functions in storing, retrieving and optimising data for AI applications. Furthermore, the unit strongly emphasises ethical considerations in implementing generative AI, fostering a deeper understanding of the responsible use of AI technologies. Through a synergistic blend of theoretical foundations and hands-on applications, you will acquire the skills to develop intelligent solutions with AI technologies in the workplace.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
0
Level
6
Audience
Postgraduate
Type
HDR
School
Faculty of Engineering
Faculty
Department of Mechanical and Aerospace Engineering
Handbook year
2026

Prerequisites

No prereqs in the handbook graph.

What it unlocks

Nothing in the visible graph depends on this unit.