Events
As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and have the skills needed to build and evaluate their own machine learning models.
T-CAIREM is pleased to offer three standalone 10-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine.
T-CAIREM is seeking passionate volunteers from the University of Toronto community to work alongside our Education team as trainee affiliates. As a trainee affiliate, you'll help develop exciting educational programs for our growing community.
T-CAIREM is the catalyst for healthcare of the future. We're developing AI education programs, supporting research, and providing a secure data platform for applied learning and research. Our growing community is now the largest AI in medicine network in Canada!
COURSE 3: Machine Learning (Online Instructor-led)
Participants will learn how to train and evaluate machine learning models on real-world datasets in this 10-week course. NOTE: Materials from Course 1 on Basic Programming will be made available to learners in Course 3 after registration.
Course Period: Monday, April 20, 2026 to Monday, June 29, 2026
Course Time: Ten (10) Weekly Wednesday evenings from 7:00pm to 8:00pm
As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and have the skills needed to build and evaluate their own machine learning models.
T-CAIREM is pleased to offer three standalone 10-week professional development courses to participants who would like to learn more about the fascinating intersection of data science and medicine.
Learn how Artificial Intelligence (AI) is changing healthcare and get some hands-on training in this exciting new field from University of Toronto medical students. The Bootcamp consists of interactive workshops and dedicated group work from Monday to Thursday, with final presentations on Friday.