AI in Clinical Data Management

This collection gathers courses on the technologies and standards shaping modern clinical development. AI in Clinical Data Management gives a structured view of AI as it appears in clinical data work: the main types of AI, what the regulations expect, why AI is harder to validate, and how to implement it with governance and human oversight. The practical use of AI in clinical development covers hands-on use of generative AI: what the tools can do, where their limits are, and how to apply them responsibly in a regulated environment.

More courses on open source tools and industry standards are planned as the catalogue grows.