Generative AI for Clinicians

Use AI in Healthcare — or lead it.

A technical-yet-practical course equipping clinicians with a deeper understanding of Generative AI: how it works, where it creates value in healthcare, and how to deploy it responsibly. Seven units, each with a lecture, a textbook chapter, an interactive case scenario, and a quiz.

Course units

1. 1Foundational Understanding of Generative AIFree previewGenerative AI is transforming healthcare by creating new data rather than just analyzing existing information. This unit explores its foundational principles, the infrastructure behind it (GPUs/TPUs, training of large language models), its historical evolution, practical clinical applications, and the ethical and sustainability considerations that come with it.→
2. 2Healthcare Use CasesWhere Generative AI is already creating value across clinical and operational workflows.🔒
3. 3Hypothesis TestingFraming and validating AI ideas with rigor before committing resources.🔒
4. 4Creating & Capturing Value with Gen AITurning capability into durable value — and capturing it.🔒
5. 5Dealing with Hallucinations & AccuracyUnderstanding and mitigating model error in clinical contexts.🔒
6. 6Patient Privacy and EthicsPrivacy, ethics, and ambient technologies in clinical AI.🔒
7. 7Building an MVP & IP StrategyFrom prototype to protected, deployable product.🔒