AI in Medicine Upskilling Courses
Discover the Future of Medicine with T-CAIREM
AI is already helping doctors spot diseases earlier, researchers find new treatments faster, and patients access care more easily. Whether you’re a student curious about the basics, a healthcare professional exploring new tools, or simply someone interested in how medicine is changing, this is your invitation to learn more.
Available Courses
2026 Computing in Medicine Program (Fall)
Registration Deadline: September 13, 2026
Who this course is for: Anyone familiar with Python.
For learners ready to roll up their sleeves, this program bridges the worlds of medicine and computer science. You’ll explore how data, algorithms, and computational methods can be applied to real-world medical problems. Whether you’re a student considering a career in health technology or a researcher eager to collaborate across disciplines, this program gives you the foundation to connect computing with human health.
2026 Intro to AI in Medicine: Practical Issues & Recommendations for Clinicians (Fall)
Registration Deadline: October 8, 2026
Who this course is for: Clinicians, physicians and allied health professionals.
This weekend mini-course is perfect for busy clinicians who want to understand what AI can and can’t do in a clinical setting. This course demystifies core concepts and shows you practical examples of AI in action, from diagnostic imaging to patient monitoring. This course is fully accredited by the CFPC, RCPSC, AMA, and EUMS, making it ideal for clinicians worldwide.
2026 Introduction to AI for Residents & Fellows (Fall)
Registration Deadline: November 15, 2026
Who this course is for: Medical residents and Fellows.
This weekend mini-course offers practical, hands-on exposure to the tools, opportunities, and implications of AI in your medical training and future research. You’ll leave with strategies to improve productivity and insights into the role AI will play in shaping your specialty. This course focuses on practical AI applications rather than developing AI tools. No coding experience is required.
2027 AI in Practice for Nurses Weekend Mini-Course (Winter)
Registration Deadline: Jan. 17, 2027
Who this course is for: Nurses, nurse practitioners, and nursing students.
AI is rapidly becoming part of nursing practice, from clinical decision support to everyday productivity. This practical course introduces you to the fundamentals of AI and shows how emerging tools are used in healthcare and nursing. You’ll learn how to use AI tools effectively, assess their strengths and limitations, and consider important issues such as patient safety, privacy, bias and responsible use. You’ll leave better prepared to evaluate AI technologies and understand how they may shape the future of nursing practice. No coding experience is required.