Program Overview

Introduction to Build Custom AI Tools for Healthcare

The Build Custom AI Tools for Healthcare micro-credential is designed to equip participants with the skills to design and implement custom machine learning models to solve real-world healthcare challenges. This online course is tailored for hospital data teams, medtech startups, and digital health companies.

Course Overview

The course is delivered over six weeks, with a total time commitment of approximately 42 hours. This includes 10 hours of guided learning, 10 hours of self-study and peer learning, and 22 hours for assessment tasks.

Course Details

• The course is ideal for data scientists, medical technologists, and healthcare professionals interested in implementing machine learning systems.
• Participants are expected to have completed a bachelor's degree or have equivalent levels of professional experience in a healthcare-related area, and have a demonstrable understanding of programming and machine learning concepts.
• The course is endorsed by the Victorian Medtech Skills and Devices Hub, a respected provider of industry-aligned and future-ready medtech education courses.

What You Will Learn

Participants will gain contemporary skills and knowledge to design and implement custom machine learning models using popular Python-based machine learning frameworks. The course covers:

• An introduction to GPU-powered deep learning and the latest AI research driving GPU-accelerated deep learning.
• Designing custom deep learning models optimized for GPUs with TensorFlow and PyTorch, and training them using participants' own data.
• Unlocking AI architectures and performance optimization strategies, including convolutional neural networks, autoencoders, recurrent neural networks, and transformers.
• Building and training an AI model aimed at solving a real-world healthcare challenge, with a comprehensive report detailing design choices and strategies to optimize and evaluate the model's performance.

Who You Will Learn From

The course is delivered by leading medical technology experts, including Associate Professor Joseph West, who has a research interest in Machine Learning and Artificial Intelligence with a focus on general decision-making and general applications.

Fees

• The course fee for individuals is $990.00 (inc GST).
• Discounts and payment options are available for University of Melbourne staff or alumni.
• Pricing for teams is available on request.

Assessment

The course assessment includes:

• Machine learning: from research to code, where participants use Jupyter notebook to reproduce and implement an existing custom machine learning model using a popular framework (30%).
• Machine learning model design, where participants design and implement their own custom machine learning model to tackle a complex real-world healthcare problem (70%).

Digital Certificate

Upon completion of the course, participants will receive the Build Custom AI Tools for Healthcare Melbourne MicroCert, a unique micro-credential digital certificate that demonstrates the acquisition of knowledge, skills, and abilities outlined in the course's learning outcomes.

Pathways to Further Study

The Build Custom AI Tools for Healthcare micro-credential is part of the AI for Health Professionals series, which provides a pathway into graduate courses such as the Master of Biomedical Engineering, Master of Information Technology, and Graduate Diploma in Computer Science.