Graduate Diploma in Artificial intelligence

Learn to use AI technology in a wide range of contexts, including digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more. You'll learn from world-renowned lecturers who are leading the advancement of virtual reality and computer engineering.

Get a hands-on approach. Use your AI skills to solve real-world problems when you take on an industry-based project with leading organisations including Microsoft, Optus, 4Pi Labs, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.

You'll learn:

• Problem-solving with AI
  • Discover how research skills and deep learning algorithms are used to develop AI-based solutions to real-world problems.
• Machine learning
  • Learn how to analyse data to design, implement and evaluate machine learning techniques for solving real-world problems.
• Deep learning techniques
  • Explore deep learning techniques and apply them to AI functions like image recognition, machine translation and speech synthesis.
• Social, legal and ethical impact of AI
  • Gain an understanding of the legal, moral and societal issues faced by today's IT industry and their impact on how AI technology is used.

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 8 - Graduate Diploma.

Successful completion of an Australian bachelor degree (or equivalent).

Offshore applicants are considered for admission based on the stated course entry requirements. IELTS may be considered.

Digital disruption is producing strong demand for AI professionals in healthcare, manufacturing, agriculture, automotive and more. Graduates can pursue a range of career opportunities, including:

• Artificial intelligence architect
  • Identify how AI technology can be applied successfully in business settings.
• Software engineer
  • Use engineering principles and computer language to design, develop and maintain software systems.
• Data scientist
  • Work with computer hardware systems and networks to optimise performance.