Graduate Certificate of Artificial Intelligence

2024 Deakin University Handbook

Year	2024 course information
Award granted	Graduate Certificate of Artificial Intelligence
Deakin course code	S536
Faculty	Faculty of Science, Engineering and Built Environment
Campus	Offered at Waurn Ponds (Geelong)
Online	Yes
Duration	0.5 year full-time or part-time equivalent
Course Map - enrolment planning tool	This course map is for new students commencing from Trimester 1 2024 This course map is for new students commencing from Trimester 2 2024 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin online programs.

Course sub-headings

Course overview

Artificial intelligence (AI) is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in AI, which is creating a large demand for skilled professionals around the world.

Deakin’s Graduate Certificate of Artificial Intelligence provides IT professionals with foundational knowledge of AI and the skills necessary to design and develop advanced AI-driven solutions to solve challenging, real-world problems.

Want the skills to build intelligent machines and software solutions that power our future?

You will gain hands-on experience in the development of software solutions and the use and development of AI. Our world-leading research in AI feeds directly into our classrooms, meaning that you will be learning at the cutting-edge of industry expectations and capabilities.

As a graduate you will have a thorough understanding of the design, development and operation of AI-driven software solutions.

Indicative student workload

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

Career opportunities

Graduates of the Graduate Certificate of Applied Artificial Intelligence will be able to engage effectively with specialists in the area of artificial intelligence.

Participation requirements

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

Mandatory student checks

Any unit which contains work-integrated learning, a community placement or interaction with the community may require a police check, working with children check or other check. Refer to the relevant unit guide.

Pathways

Upon completion of the Graduate Certificate of Artificial Intelligence you could use the credit points you’ve earned to enter into further study, including:

Master of Applied Artificial Intelligence
Master of Applied Artificial Intelligence (Professional)

Fees and charges

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

Use the Fee estimator to see course and unit fees applicable to your course and type of place. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.

Course Learning Outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Develop a broad knowledge of the technologies of artificial intelligence.
Communication	Prepare a range of technical and user-oriented documentation using adequate structure, terminology.
Digital literacy	Identify, select and use a range of digital technologies and tools to generate, manage and share digital resources associated with advanced artificial intelligence concepts and solutions.
Critical thinking	In assessing complex artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems and proposals to identify basic statements. In assessing complex artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected. In assessing complex artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid.
Problem solving	Apply technical skills, knowledge and techniques to identify and define complex problems utilising advanced artificial intelligence. Apply expert, specialised technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design novel artificial intelligence solutions.

Approved by Faculty Board 27 June 2019

Course rules

To complete the Graduate Certificate of Artificial Intelligence, students must attain 4 credit points (part-time over 1 year), which must include the following:

DAI001 Academic Integrity Module (0-credit point compulsory unit)
two (2) core units
one course elective unit
one (1) Level 7 SIT elective unit (1 credit point -excluding SIT771, SIT772, SIT773 and SIT774)

Students are required to meet the University's academic progress and conduct requirements.