Do you want to learn how to build a model using machine learning yourself? And how does a large language model like ChatGPT work? What can AI do—and what can it not do—for healthcare? In this module, you will learn the basic principles of data science and artificial intelligence and develop practical skills to apply data and AI responsibly and effectively in healthcare practice.

For whom?

Healthcare professionals who want to deepen their knowledge of healthcare information systems, data storage and processing, and the once-only registration and multiple use of healthcare data. No programming experience is required; enthusiasm for digital solutions in healthcare is sufficient.

Admission requirements

You can enroll with a completed bachelor’s or master’s degree (HBO or WO level) and at least two years of professional work experience in healthcare.

Contact

Do you want more information on Data Science & AI? Our team is ready to answer your questions.

E: healthinformatics@amsterdamumc.nl
T: +31 (0)6 82 08 06 09

Program

In this course, you will discover how data and AI are transforming modern healthcare. You will learn how to analyze real-world data, build simple machine learning models, and critically evaluate AI applications such as large language models (including ChatGPT). In addition to practical skills, the course also addresses ethical, legal, and privacy issues involved in the responsible use of health data.

Topics

• Health Data Science
• AI
• Large Language Models (LLM’s)
• Selection bias
• Critical appraisal of Data Science study/article
• Machine Learning techniques (CRISMP-DM, Neural networks, Prediction models)
• Model evaluation and testing
• Data Science Project design
• Data management
• Image and signal processing with AI
• AI act

Course Details

This course is offered entirely through e-learning. The study programme provides clear weekly deadlines to complete the course within 8 weeks, but you also have the option to progress at your own pace, either faster or slower. In addition, you will work on assignments both individually and in groups with fixed deadlines.

Assessment consists of a written assignment and a subsequent oral defense. Course materials and assignments can be followed in either Dutch or English. Most of the literature is in English.

What will participants learn?

• How to place data science and AI within the broader context of healthcare
• How to critically evaluate research and scientific articles on AI in healthcare
• How to set up a data science project using established design methods
• How to perform an initial data analysis using machine learning techniques
• How large language models such as ChatGPT work and what their strengths and limitations are
• How to take privacy and data confidentiality into account in AI projects

Teachers

Dr. Sebastian van der Voort (coordinator/teacher)
Dr. Iacopo Vagliano (coordinator/teacher)
Dr. Ferishta Raiez (teacher)
Prof. dr. Ameen Abu-Hanna (teacher)

Tuition fees

* a 25% discount applies for Amsterdam UMC employees

Program fees and funding

What’s included?
The program fee includes the examination fee and access to online study materials.

Payments
Each course will be charged by invoice after the start of the course.

Cancellation Policy

You can cancel your registration free of charge until the start of the course. After the start of the course, refunds are no longer possible.

Funding

In the Netherlands, professionals who live and work in the country can apply for a loan for the program fee through the Lifelong Learning Credit (Levenlanglerenkrediet) at the Education Executive Agency (DUO).

Stay connected
Connect with us on LinkedIn to stay informed on news in the field of Health Informatics and on our program.