AI Healthcare Courses and Certificates
AI in Healthcare Specialization
Clinicians and health system staff who want the concepts without becoming engineers.
Stanford University, delivered on Coursera. About 60 hours, 5 courses. Online, self-paced.
Program facts
- Provider
- Stanford University, delivered on Coursera
- Credential type
- University course, certificate of completion
- What you get
- A shareable career certificate from Stanford Online, taken through Coursera. Coursera also lists CME accreditation for physicians and continuing education accreditation for the rest of the care team.
- What you need first
- None. Coursera says no prior experience is required and that the program is built for both healthcare providers and computer science professionals.
- How long it takes
- Five courses of 11 to 14 hours each, about 60 hours in all. Coursera suggests a pace of about 10 hours a week.
- How you take it
- Fully online and self-paced. It has lectures, readings, assignments and a final capstone course.
- Facts read from
- Coursera specialization page, October 18, 2026
What the AI in Healthcare Specialization Is Good For
The most commonly recommended starting point, and it earns that by spending real time on the clinical and ethical side rather than only the modeling.
When a Different Option Fits Better
Look at another option if you already write code and want to build models. The DeepLearning.AI AI for Medicine Specialization goes much deeper on the technical side.
This is an independent editorial listing, not an endorsement. AIHealthcareNow has no affiliate relationship with the provider. Length, format and entry rules are copied from the provider's own page on the date shown. Cost, start dates, admission rules and availability can change, so use the official program page for the current offer before you pay or apply.