Non-Award
Develop essential practical skills in working with healthcare data in machine learning environments. Learn to analyse, clean, and prepare data for use in a machine learning environment, gaining familiarity with industry-standard tools to build AI healthcare solutions.
Develop essential practical skills in working with healthcare data in machine learning environments.
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.
Learners are expected to have:
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.
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.
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.
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.
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.
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.
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:
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.
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, 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 have the skills to apply machine learning and basic programming concepts to healthcare data.
You'll be able to:
This course 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 Practical Use of AI in 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.
Practical Use of AI in 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 Practical use of AI in 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 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 machine learning in a healthcare context.
There is no set expiry date.
Practical Use of AI in 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 Practical use of AI in 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.