Micro-credential
Practical Use of AI in Healthcare
Develop essential practical skills in working with healthcare data in machine learning environments. Currently only available for organisations. Register individual interest below:
Start date
To be announced
Duration
6 weeks / 42 hours
Study mode
Online
Fees
$990.00 (inc GST)
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Learn more
Endorsed by
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Industry-ready skills
Develop in-demand skills aligned with industry best practice you can apply immediately.
Taught by leading experts
Learn from internationally recognised academics and professionals with years of on the ground experience.
Shareable digital certificate
Showcase your capabilities with an industry recognised digital certificate you can share with your professional network. See an example certificate
What you will learn
Gain contemporary skills and knowledge for your job now.
As new technologies continue to drive innovation in healthcare, machine learning provides an exciting opportunity to improve the accuracy of diagnoses, personalise medicine, and develop new solutions to current and future challenges in patient care.
Essential for hospital data teams, medtech start-ups, and digital health companies, this online micro-credential introduces the essential practical skills that help you make effective use of healthcare data in your own business.
Throughout this course, you'll learn to analyse, clean, and prepare data for use in a machine learning environment, while gaining familiarity with industry-standard tools used to build AI healthcare solutions that improve automated decision-making and enhance patient care.
Delivered by leading medical technology experts, Practical Use of AI in Healthcare is endorsed by the Victorian Medtech Skills and Devices Hub, a respected provider of industry-aligned and future-ready medtech education courses.
An accessible introduction to building AI healthcare solutions with AI
Develop your skills with industry standard tools used to build machine solutions for healthcare environments. Suitable for newcomers to programming, you'll learn to apply a basic but complete processing pipeline from data cleansing to preprocessing and manipulation, through to machine learning and evaluation.
Work with your own healthcare data
Gain experience building a machine learning solution using your own healthcare data, with support from leading medical experts in medical AI. A key focus is on processing and interpreting data from medical images, clinical text, and sensor outputs, ensuring strong alignment with real-world applications.
Apply machine learning and evaluate outcomes
A highly practical course, students will be introduced to the fundamental elements of working with healthcare data in a machine learning environment, including essential steps such as data cleaning and manipulation, and preprocessing.
Who you will learn from
Learn from skilled academics and professional experts who will share invaluable knowledge you can use in your job.
Associate Professor Joseph West
AI for Neuroscience Researcher; AI/ML Lecturer
Joseph's research interest is in Machine Learning and Artificial Intelligence with a focus on general decision making and general applications. He is currently investigating deep learning approaches for neurological stimulation therapies covering Deep Brain Stimulation (DBS). By using state of the art deep learning methods to close the loop in neuro-stimulation he is improving outcomes for patients undergoing neurological electro-stimulation therapy.
More from this series
This series of micro-credentials has been designed to address a key skills gap in the medical technology sector, providing essential instruction on technologies of growing importance to the industry.
The AI for Health Professionals series
AI for Health Professionals provides a complete learner’s journey across four micro-credentials, providing essential instruction on technologies of growing importance to the industry. You'll gain an overview of the fundamentals of AI in healthcare, be introduced to the industry-standard tools used to build AI solutions and develop your ability to interpret your own data with existing tools, before finally designing and building a custom solution.
Explore more from the AI for Health Professionals series:
Fees
For individuals
To take Practical Use of AI in Healthcare as a stand-alone micro-credential, you'll pay the normal course price.
Please contact Student Support to discuss discounts and payment options for University of Melbourne staff or alumni, or to pay by invoice.
$990.00 (inc GST)
For teams
If you have three or more team members who are keen to upskill with Practical Use of AI in Healthcare, get in touch to discuss pricing. For large groups, we can also deliver and contextualise this course exclusively for your organisation.
Pricing on request
Dates
Dates not right for you?
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Upcoming dates for this course are yet to be announced.