Why this course

Uncover the vital importance of how AI is learning to understand healthcare

Large language models can now do more than generate text. They can connect information, interpret images, retrieve knowledge, and increasingly interact with the world in ways that begin to resemble reasoning.

But what happens when these systems move into healthcare?

On this online course from the University of Glasgow, you’ll examine the next generation of healthcare AI through multimodal large language models (LLMs).

Across four weeks, the course traces how LLMs are evolving from language models into systems capable of understanding complex healthcare information across multiple sources and formats.

Follow the evolution of large language models

Begin by tracing the development of large language models and the ideas that underpin modern generative AI.

You’ll unpack how language models work, where machine learning and LLMs overlap, and why these systems have rapidly transformed healthcare AI and research.

Connect language with knowledge and reasoning

Large language models are powerful, but they can also make mistakes.

Attention then turns to knowledge graphs, fact checking, and methods that strengthen reliability and contextual understanding within AI systems.

You’ll investigate how structured knowledge can work alongside LLMs to support healthcare datasets.

Expand AI beyond language into vision and healthcare practice

Lastly, you’ll explore how these systems move from research into clinical settings, you’ll gain insight into how healthcare AI is evolving - and the questions this transformation raises for the future.

How to register

Registration for this course is free: charges may apply for additional features and extended study.