ELEC5623: Applied Generative AI in Engineering

2026 unit information

Generative AI has demonstrated a new landscape and many opportunities for AI engineers to build enhanced and powerful application in a short period of time. This course provides a comprehensive introduction to generative AI techniques, covering the fundamental knowledge, technologies, principles and practices to understand and leverage generative AI for engineering topics. This course is designed for a thorough grounding on the fundamentals and cutting-edge developments of generative AI, to prepare the students for further research or applied endeavours in this new AI engineering era. The students will explore the power of large language models and fine-tuning techniques to craft solutions for engineering tasks.

Unit details and rules

Managing faculty or University school:

Engineering

Details

Study level	Postgraduate
Academic unit	School of Electrical and Computer Engineering
Credit points	6

Enrolment rules

Prerequisites: ?	None
Corequisites: ?	None
Prohibitions: ?	None
Assumed knowledge: ?	Students must have a basic understanding of artificial intelligence, software engineering and be proficient in Linear algebra, Python Programming

Learning outcomes

The learning outcomes for this unit will be available two weeks before the first day of teaching.

Unit availability

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There are no availabilities for this year.

Session	MoA ?	Location	Outline ?
Semester 2 2026	Normal day	Camperdown/Darlington, Sydney	Outline unavailable

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Modes of attendance (MoA)

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