Graduate Certificate of Artificial Intelligence
2024 Deakin University Handbook
Year | 2025 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 | The course map for new students commencing from Trimester 1 2025. 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
- Indicative student workload
- Career opportunities
- Participation requirements
- Mandatory student checks
- Pathways
- Course Learning Outcomes
- Course rules
- Course structure
- Fees and charges
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 equips IT professionals with foundational AI knowledge and the skills necessary to design and develop advanced AI-driven solutions for real-world challenges.
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, with units requiring on average 150 hours of study per credit point. 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.
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:
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 | 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.
|
Course rules
To complete the Graduate Certificate of Artificial Intelligence students must pass 4 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) in their first study period
- 2 credit points of core units
- 2 credit points of course elective units
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.
Course structure
Core
DAI001 | Academic Integrity and Respect at Deakin (0 credit point unit) |
SIT720 | Machine Learning |
SIT787 | Mathematics for Artificial Intelligence |
Plus 2 units (2 credit points) from the following course elective units:
SIT788 | Engineering AI Solutions |
SIT799 | Human Aligned Artificial Intelligence |
SIT753 | Professional Practice in Information Technology |
Course duration
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
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 or 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.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.