Non-Award
Gain practical training in planning and deploying AI implementations into healthcare systems, with industry-ready skills, expert teaching, and a shareable digital certificate.
Gain practical training in planning and deploying AI implementations into healthcare systems.
Level up with micro-credentialsIndustry-ready skillsDevelop in-demand skills aligned with industry best practice you can apply immediately.
Taught by leading expertsLearn from internationally recognised academics and professionals with years of on the ground experience.
Shareable digital certificateShowcase your capabilities with an industry recognised digital certificate you can share with your professional network.
Learners are required to have completed a bachelor's degree or have developed skills equivalent to Level 7 of the Australian Qualifications Framework (AQF 7) through relevant professional experience.
Gain contemporary skills and knowledge for your job now.
42 RANZCR CPD hours or 42 ACEM CPD hours can be claimed for completing Foundations of AI in Healthcare in 2025.
Artificial intelligence (AI) is poised to revolutionise healthcare, offering clinicians new tools to help diagnose, manage, and treat patients more efficiently and effectively.
This online micro-credential is ideal for healthcare professionals aiming to excel in the evolving medical technology (medtech) landscape, exploring the role and importance of AI and machine learning in modern healthcare settings.
You'll gain a valuable understanding of AI's potential in healthcare, while being introduced to best-practice approaches for implementing AI solutions that strengthen patient outcomes.
Delivered by leading medical technology experts, this course is endorsed by the Victorian Medtech Skills and Devices Hub, a respected provider of industry-aligned and future-ready medtech education courses.
Gain a comprehensive understanding of AI and machine learning's role and significance in modern healthcare, exploring their transformative potential as well as associated data privacy and regulatory considerations.
Learn the key differences between machine learning and deep learning and explore their specific applications and ethical implications in healthcare settings. Collaborate with your peers to recognise the benefits, challenges, and limitations unique to using AI and machine learning technologies in patient treatment scenarios.
Acquire the strategic planning, stakeholder management, and ethical decision-making skills necessary to effectively deploy AI technologies into healthcare systems. Learn the essential data analysis and risk management skills needed to assess AI deployments in a healthcare setting and achieve project success.
Craft and propose an AI solution for a healthcare setting of your choice, focusing on its objectives, anticipated outcomes, challenges, and risks, followed by peer and expert evaluation.
This micro-credential runs over six weeks.
Your total time commitment will be approximately 42 hours, which includes: