Course program

Previous editions

Here you can find the course programs of the first edition, second edition, third edition and current fourth edition of the course.

What you need to know for the fifth edition of the course:

  • The next edition of the course will start 08-09-2023.
  • There are 2 tracks to choose from:
    • A full track that offers participants the ability to create their own AI solutions. In this track you will follow, besides the lectures, also practical sessions where you can pick up the skills needed to implement your own AI applications.
    • A light track that does not involve programming and offers participants a good understanding of what AI is and how it can benefit your work.

Full track program

  • The in depth course takes place on 16 Fridays: 8 Sep, 15 Sep, 22 Sep, 29 Sep, 6 Oct, 13 Oct, 27 Oct, 3 Nov, 10 Nov, 17 Nov, 24 Nov, 1 Dec, 8 Dec, 15 Dec, 22 Dec, 12 Jan. The full program will follow soon.
  • The course days consist of lectures in the morning and afternoon Python practicals with cases focused on Radboudumc practice.
  • The program will be held at Radboudumc in Nijmegen.
  • The course includes project days in the Radboudumc where you will work in a team on a Radboudumc project.
  • We expect participants to spend on average 2-3 hours per week on homework and self study.
  • There will be an online training environment with support documentation, discussion forum and blended learning.
  • The course will end with a graduation ceremony where teams will present their project results and a certificate will be awarded.

Light track program

  • The short track takes place on 8 (half) Fridays, 5 optional project days in parentheses: 8 Sep, 22 Sep, 6 Oct, 13 Oct, 27 Oct, 3 Nov, (10 Nov), (17 Nov), 24 Nov, (1 Dec), 8 Dec, (15 Dec), (22 Dec), 12 Jan.
  • The course consists of lectures with a focus on Radboudumc practice.
  • The program will mostly be held at Radboudumc in Nijmegen.
  • For the projects you can bring in your own clinical case and you will be involved by providing guidance and feedback to a team.
  • We expect participants to spend on average 2-3 hours per week on homework and self study.
  • There will be an online training environment with support documentation, discussion forum and blended learning.
  • The course will end with a graduation ceremony where project teams will present their project results and a certificate will be awarded.