UWA PLUS
Fundamentals of AI in Health Care CITSM110
Artificial intelligence (AI) has had transformative applications in medicine across the spectrum, from diagnostics and clinical
decision support to population health and personalised care. This micro-credential is designed to equip learners with the knowledge required to critically appraise, safely use, and responsibly implement AI‑based tools across clinical settings.
The course covers foundational concepts in machine learning and deep learning, including how models are trained, how predictions are generated from clinical data and medical images, and why modern approaches such as convolutional neural networks and large multimodal models have proven transformative in healthcare. It also addresses generative AI and large language models, algorithmic bias, ethical and privacy considerations, and the practical challenges associated with real‑world clinical deployment. Learners are guided to understand when AI systems may be reliable, when they may fail, and how limitations in data quality, population representativeness, or model evaluation can directly affect patient outcomes.
Upon successful completion of this micro-credential, you'll receive:
- Two PD Points - stackable for unspecified academic credit in a future UWA award courses
- A Certificate of Achievement
- A UWA Plus Professional Development Transcript, listing all successfully completed micro-credentials
- Delivery mode
- Online
- Course Dates:
- 3 August 2026 - 2 October 2026
3 March 2027 - 7 May 2027 - Registrations:
- Registrations are open and will close on 27 July 2026
- Duration:
- 9 weeks
- Effort
- 50 hours total effort.
This will be made split across recorded lectures, unit readings, workshops, assignments and personal study.
- Academic lead
- Dr Jake Kendrick
- Cost
- $660 inc. GST
- Critical information summary
- CITSM110 Critical Information Summary [PDF 245KB]
What you'll learn
Participants will be able to:
Understand the key concepts and terminology behind the use of artificial intelligence in healthcare
Apply foundational knowledge of AI in healthcare to outline a possible solution for a clinical scenario
Evaluate the ethical implications of AI use in healthcare, and justify appropriate safeguards to ensure safe, equitable, and responsible practice
Why study this course?
AI is rapidly reshaping industries globally, with healthcare at the forefront of this transformation. From improving diagnostics to streamlining operations and enabling data-driven decision-making, the impact of AI is far-reaching. This micro-credential equips you with an understanding of core AI concepts and their real-world applications in healthcare, while providing practical insight into the benefits and limitations of these technologies. You'll also build the confidence to navigate the ethical, professional, and implementation challenges that come with integrating AI into complex healthcare environments, positioning yourself to contribute meaningfully in an increasingly AI-enabled sector.
Who should study this course?
including:
- Students enrolled in biomedical, health, or related science disciplines who wish to develop an understanding of AI concepts relevant to future professional practice.
- Professionals working across the broader healthcare ecosystem who want to stay ahead of the curve and understand the growing impact of AI in transforming healthcare.
What's next after this course?
This micro-credential is stackable with others (to 6pt) for credit for an elective unit when commencing an award course at UWA.
Industry endorsement
The UWA Data Institute provided substantial support for developing the micro-credential.
