Non-Award
Design a custom machine learning model to solve a real-world healthcare challenge. This course equips professionals with advanced capabilities to build and safely implement machine learning models tailored for healthcare challenges, endorsed by the Victorian Medtech Skills and Devices Hub.
Design a custom machine learning model to solve a real-world healthcare challenge.
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.
Learners are expected to have:
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.
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.
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.
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.
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:
This micro-credential will advance your knowledge of Medtech, with a specific focus on machine learning. You'll gain the essential tools and strategies to start building machine learning solutions for clinical research, patient care, and report analysis.
Endorsed by the Victorian Medtech Skills and Devices Hub, a leading provider of specialised medtech education, Foundations of AI in Healthcare directly responds to increasing industry demand for medtech professionals with AI skillsets, helping to extend the student's job scope.
By the end of this course, you'll have the expertise to design and use custom AI tools that address real-world healthcare challenges:
This micro-credential runs over six weeks.
Your total time commitment will be approximately 42 hours, which includes:
Assessment:
Upon completion of this course, you will receive the Build Custom AI Tools for Healthcare Melbourne MicroCert - The University of Melbourne's unique micro-credential digital certificate. This certificate demonstrates that you have acquired the knowledge, skills, and abilities outlined in the course's learning outcomes. The certificate may also include artefacts such as videos and written materials related to both experimental and work-integrated learning, as well as relevant assessments applicable to your professional life. You can add your Melbourne MicroCert to your social media platforms, such as LinkedIn, and share it with others. Please see example certificate.
Build Custom AI Tools for Healthcare is part of the AI for Health Professionals series, which provides a pathway (known as advanced standing ) into the following graduate courses:
To use Build Custom AI tools for Healthcare 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:
Delivered fully online, this course provides a convenient way to develop your skillset 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 knowledge of AI in healthcare.
There is no set expiry date.