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��õ������ University of Technology has launched the new Associate Degree of Applied Artificial Intelligence (AI), the first vocational level qualification in AI in Australia. 

The two-year course uses practical and immersive projects to equip students with skills and knowledge in real-world, ethical AI application.

As part of the degree, students can major in cybersecurity or game development streams, which both include industry-specific specialisation units. 

Students will also learn how to build, test and deploy real AI solutions by working with industry standard tools and real datasets within real constraints and performance expectations.  

The curriculum delivery itself is also backed by leading industry experts, ensuring students develop practical skills and experience, rather than purely theoretical knowledge.

Olga Lavouasier, Manager of Digital Futures, said the course’s content, structure and delivery prepares students to become future-ready AI experts. 

“The Associate Degree in Applied AI gives students a solid foundation in core skills, then helps them specialise in a selection of majors that sets them up for a great career,” she said.

“Graduates leave job-ready, equipped with in-demand skills, industry-standard software expertise, and globally-recognised vendor certifications. They are prepared, agile and multi-skilled to stay ahead of the curve.” 

Students can graduate with the associate degree and enter the workforce straight away, or continue into the Bachelor of Computer Science, Bachelor of Information and Communication Technology, or a Bachelor of Games and Interactivity at ��õ������.

The course has been co-developed with ��õ������’s industry partners at , , , and .   

A core course component are industry-recognised certifications including Microsoft Certified: Azure AI Fundamentals and AWS Certified AI Practitioner, which are fully integrated into students’ studies instead of being offered as optional extras. 

Some organisations have faced ongoing barriers to implementing AI, including a lack of skilled professionals, bias and governance concerns, and poor quality data.  

Dr Sourabh Dani, Coordinator of the Associate Degree in Applied AI, says course graduates overcome these barriers through industry-designed training in data literacy, AI ethics and real-world business process integration experience. 

“Technical skills alone aren’t enough – understanding the organisation’s context is critical,” he said.

“The key shift is that AI is no longer experimental. It’s integrated into core operational systems, with a measurable return on investment.”

Graduates’ career pathways can include machine learning engineer, security analyst and AI product manager, with specialist training to combat integration challenges.