AI training platforms assess your professional judgement, not certificates. Most people qualify on their degree, professional registration and written English alone — whether you come from medicine, science, finance, law or any other field. The courses below are useful background and a way to speak the language of AI work with confidence, not an entry requirement.
Which level are you starting from?
Pick the entry point that matches your experience. Every course listed leads to a certificate you can add to your LinkedIn profile.
- New to AI — start with a short introductory course covering what AI is, how clinical models work, and where the limits are. No maths or coding.
- Comfortable with the basics — move to intermediate courses on prompting, evaluation and healthcare-specific applications.
- Ready to go deep — advanced specialisations (some free to audit, certificate paid) cover AI for medicine and diagnostic reasoning.
A few free courses to start with
Career Essentials in Generative AI
Microsoft + LinkedIn · ~6h · Beginner
✓ Microsoft Professional Certificate, adds to your LinkedIn profile
View courseAI in Healthcare
Great Learning · ~2h · Beginner
✓ Certificate of completion, LinkedIn-shareable
View courseGenerative AI for Healthcare
Google Skills · ~5h · Beginner
✓ Google Skills badge, shareable
View courseOr jump straight to courses for health professionals.
Paid roles
You don’t need a certificate before you apply
Mercor, Micro1 and Turing qualify you on your clinical experience and judgement, not on course certificates. The courses above help; they’re not the entry gate. Clinical AI training roles pay $50–$250 an hour depending on specialty, and the interview tests how you reason through clinical scenarios — not which badges you hold.
See live health AI training roles Browse all roles by background