Career pathway
AI & Machine Learning in Healthcare
AI is coming to healthcare. Be the person who understands it.
From medical imaging to clinical safety to regulation - a clear-eyed introduction to how AI is really being applied in health, from the people applying it.
Register freeAround 6 hours, at your own pace
About this pathway
Every part of healthcare is being told AI will transform it. The people who matter in that transformation are the ones who can tell the real capabilities from the noise: what deep learning actually does with an image, what deploying a model into the NHS involves, what makes an AI tool safe, and how regulators treat software that learns.
This pathway is a curated set of sessions from researchers and practitioners doing the work. It opens with an eight-minute, code-free introduction to deep learning - genuinely the friendliest on-ramp there is - then moves through deployment in the NHS, deep learning on medical imaging, clinical safety as a first-class discipline, post-market surveillance of AI as a medical device, and an industry view of AI-enabled cancer care.
Roles in this space - healthcare data scientist, ML engineer, clinical AI scientist, AI safety and procurement leads - sit in hospital AI teams, MedTech vendors, pharma AI units and university labs. Most combine this pathway with a technical foundation: pair it with Technical Skills & Data Engineering if you want to build models, or with Digital Health & Innovation if you want to ship them.
What you'll be able to do
- Explain what deep learning does - and doesn't do - without writing code
- Describe what it takes to deploy an AI model inside the NHS
- Understand how deep learning is applied to medical imaging
- Treat clinical safety and post-market surveillance as core AI skills
- Cut through AI claims with informed, specific questions
What's in this pathway
6 steps
Who this pathway is for
Clinicians who keep being shown AI demos and want to judge them; analysts and engineers moving towards ML in health; anyone who needs to make decisions about AI tools - buying them, regulating them, deploying them - and wants the understanding to do it well.
Ready to work towards this career?
From medical imaging to clinical safety to regulation - a clear-eyed introduction to how AI is really being applied in health, from the people applying it.
