NHS Digital Academy resources
In 2023, the NHS Digital Academy published an Artificial Intelligence (AI) capability framework to help healthcare workers identify gaps in their current knowledge.
You will need to sign in or create a Digital Academy account to use these resources.
Foundation level
These learning resources help you understand AI.
How is it being used and what is your role.
How to inform patients and provide best-practice care using technology.
The legal, ethical and accountability implications for an organisation using AI for augmented clinical decision making.
How to plan, manage and lead AI services.
Ethics, privacy, security and data bias.
Understanding AI
These learning resources will help you understand AI provide an understanding of what considerations are needed when you are looking at using AI to provide care.
Ethical, legal and regulatory considerations in AI give you an understanding of the considerations needed to be reviewed when you are considering using AI.
Planning for AI contains data standards and machine learning processing implementing and evaluating AI systems give you an understanding of how implementation and evaluation and examples of how this has previously been carried out through case studies.
Robotics in AI gives you case studies of how robotics is currently being used in the NHS through case studies.
These learning resources helps you understand AI and how modelling works.
An understanding of what considerations are needed when looking at using AI to provide care.
Provides an understanding of the considerations needed to be looked at when considering the possibility of using AI.
Contains data standards and machine learning and natural language processing.
An understanding of how implementation and evaluation and examples of how this has previously been carried out through case studies.
Case studies about how robotics are currently being used in the NHS.
Generative AI
This learning pathway introduces AI and generative AI, explores ethical considerations, and includes technologies like Natural Language Processing (NLP), machine learning, and computer vision. It also highlights practical tools and applications, including working with large language models (LLMs).
Staff with responsibility for generative AI
Including generative AI as part of your service.
Building generative AI services.
Last edited: 28 January 2026 10:06 am