Micro-credential
Create Healthcare Solutions from Existing AI Tools
Leverage AI and machine learning models to solve real-world healthcare challenges. 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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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
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What you will learn
Gain contemporary skills and knowledge for your job now.
Artificial intelligence (AI) is a powerful technology with the potential to transform the practice of medicine and healthcare delivery.
This online micro-credential is ideal for data scientists, medical technologists, and other healthcare professionals looking to enhance their understanding of emerging technologies and gain the skills to build machine learning models that address fundamental healthcare challenges.
Throughout this course, you’ll develop your skills in configuring and manipulating off-the-shelf AI tools, building familiarity with commonly used deep learning frameworks, as well as the understanding needed to identify the model that best suits your use case and required task.
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.
Understand how algorithms power AI advancements in healthcare
Deepen your knowledge of key algorithms in machine learning, deep learning, image processing, and text processing, including techniques like backpropagation. Understand how these algorithms work, their applications, and how they drive advancements in AI for healthcare.
Use popular deep learning frameworks like Tensorflow and PyTorch
Learn how to analyse, optimise, and implement algorithms from scratch using Python to process and interpret healthcare data. You'll utilise existing implementations of these algorithms from popular Python libraries including GPU-ready frameworks like Tensorflow and PyTorch, fast tracking your ability to leverage off-the-shelf AI tools for your needs.
Design a machine learning solution using your own data
Gain the knowledge and confidence to appraise suitable machine learning models from open-source repositories and use them in conjunction with your own data to tackle a healthcare challenge. You'll produce an industry-standard report showcasing the model's development, justification, and performance evaluation, gaining valuable experience in creating AI solutions for healthcare.
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 Create Healthcare Solutions from Existing AI Tools 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 Create Healthcare Solutions from Existing AI Tools , 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
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Upcoming dates for this course are yet to be announced.