Stanford University · Certification
Applications of Machine Learning in Medicine Program
Applications of Machine Learning in Medicine is a self-paced, two-course Stanford Medicine programme for clinicians, researchers and data professionals on applying machine learning to healthcare, from base-layer data to deployment.
Who it suits
- Clinicians, researchers and data professionals who want to apply machine learning to healthcare.
- People who want a Certificate of Achievement from Stanford Medicine Health Education.
What it covers
- Working with electronic health records, claims, clinical notes and time-series data.
- Healthcare databases, data quality and bias, and electronic phenotyping.
- Natural language processing in healthcare.
- Designing, evaluating and launching machine learning solutions with an emphasis on responsible AI.
Common questions about Applications of Machine Learning in Medicine Program
- How long is it?
- Stanford lists 10 hours per course and 20 hours to earn the certificate, 100% online and on demand.
- Which courses does it hold?
- Data Foundations for Machine Learning in Medicine and Model Development, Deployment, and Ethical Considerations.
- What does it cost?
- Stanford states per-course and all-access pricing on its page; check it.
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Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.