Micro-credential
Build Custom AI Tools for Healthcare
Design a custom machine learning model to solve a real-world healthcare challenge. 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)
Learn more
Learn more
Endorsed by
Level up with micro-credentials
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.
Artificial Intelligence (AI) offers innovative solutions that improve patient care and help streamline operational efficiency.
Tailored for hospital data teams, medtech startups, and digital health companies, this online micro-credential will equip you with advanced capabilities to build and safely implement machine learning models to solve complex healthcare challenges.
Throughout this highly-practical course, you'll be introduced to industry-standard tools, skills, and the latest research for creating machine learning models that are revolutionising healthcare and improving clinical decision-making.
Delivered by leading medical technology experts, Build Custom AI Tools for Healthcare is endorsed by the Victorian Medtech Skills and Devices Hub, a respected provider of industry-aligned and future-ready medtech education courses.
Gain an essential introduction to GPU-powered deep learning
Expand your understanding of advanced machine learning models by exploring the latest AI research driving GPU-accelerated deep learning. You'll learn to design custom deep learning models optimised for GPUs with TensorFlow and PyTorch, and train them using your own data.
Unlock AI architectures and performance optimisation strategies
Gain deep insight into the strengths and limitations of key model architectures, including convolutional neural networks, autoencoders, recurrent neural networks, and transformers. Discover how these architectures are leveraged to optimise performance and drive powerful AI solutions.
Design and build your custom machine learning model
Using data from either your own workplace or a selected course short list, build and train an AI model aimed at solving a real-world healthcare challenge. Develop a comprehensive report detailing your design choices and strategies to optimise and evaluate your model’s performance.
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 Build Custom AI Tools for 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 Build Custom AI Tools for 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.