Graduate Certificate in Artificial Intelligence and Machine Learning

Program Overview

The Graduate Certificate in Artificial Intelligence and Machine Learning from the University of Adelaide equips students with technical skills in machine learning and AI application development, broad awareness of industry opportunities, and an understanding of ethical and social considerations. The program offers flexible study modes and is taught by world-class researchers and industry professionals from the Australian Institute of Machine Learning. Graduates can pursue careers in various fields, including computational science, computer programming, and IT management.

Program Outline

Degree Overview:

Overview:

The Graduate Certificate in Artificial Intelligence and Machine Learning, conducted through the University of Adelaide’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you for an exciting career in this pivotal field.

Objectives:

• Equip students with a suite of technical skills in machine learning and AI application development, including in specialist areas, such as deep learning and visual question answering.
• Provide broad awareness of the commercial, organisational, and research opportunities presented by machine learning and AI.
• Impart an introductory understanding of the disciplines’ ethical and social considerations.
• Lay the necessary foundation of skills and understanding to embark on work or further study in artificial intelligence or machine learning.

Outline:

Program Content:

• Principles of computer science
• Concepts in artificial intelligence and machine learning
• Statistical machine learning
• Computer vision
• Using machine learning tools
• Deep learning fundamentals
• Applied natural language processing
• Deep learning: image processing
• Mathematical foundations of data science
• Machine learning and artificial intelligence

Course Schedule:

• The program can be studied in part-time, standard full-time, or accelerated mode.
• In accelerated mode, students take 12 units (4 courses) per trimester.
• In standard full-time mode, students take 24 units (8 courses) per year.
• In part-time mode, students take 3 or 6 units (1 or 2 courses) per trimester.

Teaching:

Teaching Methods:

• Face-to-face intensive courses
• Online study

Faculty:

• World-class researchers and high-performing industry professionals from the Australian Institute of Machine Learning (AIML).

Unique Approaches:

• Mentoring, feedback, and direction from AIML's world-class researchers and high-performing industry professionals.

Careers:

Potential Career Paths:

• Computational Scientist
• Computer Programmer
• Computer Scientist
• Diagnostic Technician
• Digital Strategist
• Software Specialist
• IT Manager
• IT Programmer

Opportunities and Outcomes:

• Develop solutions to constantly monitor a business’s key relationships and predict how and when to upsell.
• Help not-for-profits maximize donations through advanced AI modeling of website traffic.
• Gain credit towards the Graduate Diploma and Master in Artificial Intelligence and Machine Learning.