Graduate Diploma of Artificial Intelligence

2025 Deakin University Handbook

Year	2025 course information
Award granted	Graduate Diploma of Artificial Intelligence
Deakin course code	S636
Faculty	Faculty of Science, Engineering and Built Environment
Campus	This course is an exit option only
Online	No
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

Course sub-headings

Course overview

The Graduate Diploma of Artificial Intelligence is available as an exit option from the Master of Artificial Intelligence. This course provides you with an understanding of artificial intelligence, deep learning, reinforcement learning, and the application of these algorithms in computer vision and speech processing.

Indicative student workload

You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Career opportunities

Graduates will have the specialist knowledge needed to operate and engage with artificial intelligence across a broad range of industry sectors.

Participation requirements

Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.

Course Learning Outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Develop an advanced knowledge of the technologies of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of the application of AI algorithms across a range of domains and applications including computer vision and speech processing. Design, develop and implement software solutions that incorporate novel applications of artificial intelligence. Design artificial intelligence solutions that incorporate safe ethical decision making.
Communication	Communicate in a professional context to inform, explain and drive sustainable innovation through artificial intelligence and to motivate and effect change, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.
Digital literacy	Identify, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources.
Critical thinking	Evaluate and critically analyse information provided and their sources to inform decision making and evaluation of plans and solutions associated with the field of artificial intelligence.
Problem solving	Apply advanced cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate solutions to real-world and ill-defined computing problems.
Self-management	Work independently to apply knowledge and skills in a professional manner to new situations and/or further learning in the field of artificial intelligence with adaptability, autonomy, responsibility, and personal accountability for actions as a practitioner and a learner.
Teamwork	Work independently and collaboratively within multidisciplinary environments to achieve team goals, contributing knowledge and skills from artificial intelligence to advance the teams objectives, employing effective teamwork practices and principles, and effectively engaging with distinct workplace roles and their functions.
Global citizenship	Apply professional and ethical standards and accountability in the field of artificial intelligence, and openly and respectfully collaborate with diverse communities and cultures.

Course rules

To complete the Graduate Diploma of Artificial Intelligence students must pass 8 credit points and meet the following course rules to be eligible to graduate:

DAI001 Academic Integrity and Respect at Deakin (0-credit point compulsory unit)
2 credit points of core units
4 credit points of course elective units
2 credit points of course elective units, level 7 SIT or MIS coded

Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University’s vocabulary.