AI in Healthcare Specialization
What you'll learn
Over five Stanford courses you study the US health system, mine clinical data ethically, train and test machine learning models for care, judge how AI fits clinical workflows and regulation, then build risk models from EHR and image data.
- Introduction to healthcare
- Introduction to clinical data
- Fundamentals of machine learning for healthcare
- Evaluations of AI applications in healthcare
- AI in healthcare capstone
Source: the provider's official page ↗
Is this right for you?
- Level
- Beginner People new to this. You can start today with no experience.
- What you get
- A certificate from a name employers know, ready to add to LinkedIn and your résumé the day you finish.
- How you learn
- Online, self paced, about 11 hrs.
- How to use it
- Add it to LinkedIn under Licenses and certifications, post it with one thing you learned, and name the exact skills on your résumé. Then bring it up in interviews and show how you use AI to get more done.
- Why it's worth it
- Fast, practical proof that you are ahead on AI. It shows initiative, gives you skills you can use the same day, and hands you something concrete to talk about with every hiring manager.
- Time
- 5 courses; course pages list 12, 12, 14, 11 and 11 hours (about 60 hours).
- Before you start
- No prior experience required (Beginner). Coursera account.
- How you are tested
- Online, self paced (Coursera).
- Renewal
- None stated.
- Full cost details
- Paid Coursera enrollment or Coursera Plus; the Coursera FAQ says it cannot be taken for free (financial aid available). Fee amount not shown on the page loaded.
- Where it applies
- Online; open internationally. CME is from Stanford University School of Medicine (ACCME accredited).
Sources and what we verified
Coursera specialization page: 5 courses, hours, cannot be taken for free, Stanford CME accreditation ↗Evaluations of AI Applications in Healthcare course page: maximum of 9.50 AMA PRA Category 1 Credits ↗What we verified: The specialization page states CME is available from Stanford School of Medicine and that the capstone is jointly accredited (ACCME, ACPE, ANCC). The one course page loaded (Evaluations of AI Applications in Healthcare) states: 'designates this enduring material for a maximum of 9.50 AMA PRA Category 1 Credits'. Credit amounts for the other courses were not checked. Page also has a conflicting '4 weeks at 10 hours a week' estimate. CME fee, if any, not stated.
Fees and eligibility can change. Confirm current terms with the issuer before you pay.
Also listed for: AI in Healthcare, AI for Nurses