Non-Award
Leverage AI and machine learning models to solve real-world healthcare challenges. This course is ideal for professionals seeking to enhance their understanding of emerging technologies and develop skills in configuring and manipulating AI tools.
Leverage AI and machine learning models to solve real-world healthcare challenges.
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.
Learners are expected to have:
Recommended prior knowledge:
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.
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.
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.
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.
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. 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:
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 Create Healthcare Solutions from Existing AI Tools 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.
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:
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:
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.
There is no set expiry date.