COStanford University · on Coursera
AI in Healthcare Specialization
Intermediate 120 hours English Specialization
Our recommendation
A Stanford Coursera specialization on the unique challenges of healthcare AI — clinical datasets, diagnostic models for medical imaging, electronic-health-record interpretation, and rigorous model evaluation in clinical contexts. Serious and domain-specific, for people with some ML or clinical background who want to apply AI responsibly in healthcare.
Skills you'll gain
Healthcare AIClinical dataMedical imagingModel evaluationEHRMachine learning
Is this course right for you?
A good fit if you…
You have ML or clinical background
You want the healthcare-AI domain
You value rigorous evaluation
Consider something else if you…
You are new to ML
You want a general AI course
You want hands-on model building only
About this course
This Stanford specialization covers the unique challenges of healthcare AI: clinical datasets, diagnostic models for medical imaging, electronic health record interpretation, and rigorous model evaluation in clinical contexts where errors have serious consequences.
What you'll learn
Apply ML to structured clinical data including EHR and claims data
Build diagnostic models for medical imaging including chest X-ray
Evaluate clinical AI models with appropriate medical performance metrics
Understand FDA regulation and clinical validation for AI systems
Identify and mitigate algorithmic bias in healthcare ML
This course includes
120h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available.
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Is the certificate recognised?
A Stanford certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.
Instructor
SY
Serena Yeung / Andrew Ng
Coursera instructor
95K+ learners4 courses4.7 instructor rating
Taught by Stanford Medicine faculty including Andrew Ng and physician-researchers with expertise in clinical AI deployment.
About this provider
CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Frequently asked questions
People with some ML or clinical background who want to apply AI responsibly in healthcare.
Yes — you can audit the courses free on Coursera; the certificate needs a subscription or Coursera Plus.
It covers clinical datasets, diagnostic models and evaluation, with a strong emphasis on rigorous evaluation in clinical contexts.
Some ML or clinical familiarity helps; it is a domain-specific, serious specialisation.
Several weeks across the specialisation.