University of Technology Sydney

36120 Advanced Machine Learning Application

Requisite(s): 36106 Machine Learning Algorithms and Applications
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.


This subject offers an in-depth exploration of cutting-edge concepts and techniques in machine learning, with a particular focus on the engineering aspects of model deployment. This subject equips students with the necessary knowledge and skills to develop, deploy, and manage machine learning models effectively in real-world applications.

The subject covers advanced machine learning algorithms and methodologies that go beyond the fundamentals. Students gain a deep understanding of the underlying principles behind these techniques and explore their practical applications through hands-on projects and case studies.

A significant emphasis is placed on the engineering aspects of model deployment, ensuring students are well-prepared to handle the challenges associated with integrating machine learning models into production environments.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.