Program profile · official sources
AI in Healthcare Specialization
The AI in Healthcare Specialization by Stanford Online on Coursera is a beginner-level, 5-course program designed for healthcare providers and computer science professionals. Instructed by Matthew Lungren, Serena Yeung, and others, the curriculum explores how artificial intelligence can transform patient care and diagnoses safely and ethically. Students learn fundamental machine learning concepts, evaluate AI applications, and understand clinical data mining. The 5 courses cover the U.S. healthcare system, clinical data, machine learning fundamentals, AI evaluations, and a capstone project involving a unique dataset. The self-paced online program has a provider estimate of 4 weeks at 10 hours a week to complete. Earning the shareable career certificate requires completing all courses and the capstone project.
Facts checked 1 Oct 2026
- Price
- See pricing
No specific total price is stated. The FAQ clarifies that the course cannot be taken for free to earn a certificate, noting financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- 4 weeks to complete at 10 hours a week.
- Level
- Beginner level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- No prior experience required
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction to Healthcare
- Introduction to Clinical Data
- Fundamentals of Machine Learning for Healthcare
- Evaluations of AI Applications in Healthcare
- AI in Healthcare Capstone
Prerequisites: No prior experience required
What you actually do
- Introduction to Healthcare : 12 hours; Course 1 · Source
- Introduction to Clinical Data : 12 hours; Course 2 · Source
- Fundamentals of Machine Learning for Healthcare : 14 hours; Course 3 · Source
- Evaluations of AI Applications in Healthcare : 11 hours; Course 4 · Source
- AI in Healthcare Capstone : 11 hours; Course 5 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / ai-healthcare
- Credential
- Career certificate · www.coursera.org / ai-healthcare
- Issuer
- Stanford Online · www.coursera.org / ai-healthcare
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / ai-healthcare
- Exam requirement
- The page describes course completion and a capstone project to earn a certificate; it does not explicitly establish whether a formal exam is required. · www.coursera.org / ai-healthcare
Who should skip it
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Change log
- : Initial recorded review of official program details. · Source