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:
$990.00 (inc GST)
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.
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:
- Foundations of AI in Healthcare (Micro-credential)
- Practical Use of AI in Healthcare (Micro-credential)
- Build Custom AI Tools for Healthcare (Micro-credential)
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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Course details
This innovative online course is ideal for data scientists, medical technologists and healthcare professionals interested in seeking to understand how to implement machine learning systems.
Healthcare data analysts, medical AI researchers, clinical informatics specialists, and bioinformatics scientists – as well as professionals involved in seeking a career in product development and quality management will all find this course particularly useful.
Learners are expected to have:
- completed a bachelor’s degree or have equivalent levels of professional experience in a healthcare related area, and
- demonstratable understanding of programming and machine learning concepts, or
- completed MMC1 Foundations of AI in Healthcare and/or MMC2 Introduction to Machine Learning in Python and/or have attained the equivalent knowledge and skills through other channels
Recommended prior knowledge:
Proficiency with a variety of programming concepts such as functional, object-oriented, and modular programming. Proficiency with the use of command line interfaces. Proficiency with the Python programming language
This micro-credential will deepen your understanding of machine learning models, with a specific focus on harnessing advanced AI tools to tackle complex challenges in healthcare data analysis.
Endorsed by the Victorian Medtech Skills and Devices Hub, a leading provider of specialised medtech education, The Victorian MedTech Skills and Device Hub has been established to accelerate Victoria’s medical technology development ecosystem and help create skilled jobs for specialised Medtech professionals.
By the end of this course, you'll be able to use machine learning models to solve a real-world healthcare challenge.
You'll be able to:
- Apply key algorithms in machine learning, deep learning, image processing, and text processing
- Apply and evaluate existing machine learning models to solve a complex real-world problem.
This micro-credential runs over six weeks.
Your total time commitment will be approximately 42 hours, which includes:
- Guided learning, including online webinars and group discussion (10 hours)
- Peers learning, including quizzes and group activities (10 hours)
- Assessment tasks (22 hours)
Assessment:
- Backpropagation – a key way for machines to learn: Written and code submission as a Jupyter Notebook (30%)
- Training existing (pre-trained) models: Written report and working Python code to solve a real-world problem (70%).
Create Healthcare Solutions from Existing AI Tools is part of the AI for Health Professionals series, which provides a pathway (known as advanced standing ) into the following graduate courses:
Eligible for advanced standing (core)
Master of Biomedical Engineering
Eligible for advanced standing (elective)
Master of Information Technology
Graduate Diploma in Computer Science
To use Create Healthcare Solutions from Existing AI Tools in this way, you'll need to complete all four micro-credentials from the AI for Health Professionals series then apply for credit towards one of the above courses.
The AI for Health Professionals series includes:
- Foundations of AI in Healthcare
- Practical Use of AI in Healthcare
- Create Healthcare Solutions from Existing AI Tools (Expected 2025 delivery)
- Build Custom AI Tools for Healthcare (Expected 2025 delivery).
Delivered fully online, this course provides a convenient way to develop your skill set from a location that suits you. Within our digital learning environment, you'll engage with other professionals and leaders and take part in synchronous and asynchronous learning activities.
You'll have access to videos of industry leaders discussing real-world case studies. You'll also take part in live online workshops, contribute to discussion boards with your peers, and complete independent study to deepen your understanding of how to practically apply existing AI models to suit your specific needs.