AI Resources
Training
Digital Research Skills
These are technical courses to develop digital skills. Previous courses have included, for example, Agenic Coding. The image below shows some of the AI courses they have available – these change with time so please take the time to check.
https://digitalresearchservices.ed.ac.uk/training/?
ELM Training for Staff and Students
Would you like to learn more about Generative AI and how to best use it through ELM? There is a range of training sessions from the Digital Skills Programme available.
For example:
- Introduction to responsible use of Generative AI and ELM for Staff
- Introduction to Generative AI for Higher Education Professional Services
- Advanced use cases of Generative AI & ELM
- Introduction to responsible use of Generative AI and ELM for Students
Other university courses
Digital Skills Programme | The University of Edinburgh
The Edinburgh Futures Institute AI Ethics MOOC
The Una Europa AI MOOCs led by University of Helsinki AI Open MOOCs
Generative AI for Higher Education Professional Services
Resource Information
Univeristy AI Pages
Outward focussed pages on AI within the university.
Edinburgh Language Model (ELM)
ELM is the University of Edinburgh’s AI innovation platform, a central gateway providing safer access to Generative Artificial Intelligence (GAI) via access to Large Language Models (LLMs). Staff and Professional Service training is provided here.
- Link to Documentation
- Examples of different tasks that can be completed using ELM (This is a really good way to see what it can do)
Link to Platform: https://elm.edina.ac.uk/
Generative AI Laboratory (GAIL)
The Generative AI Laboratory (GAIL) at the University of Edinburgh is a centre for excellence dedicated to researching all aspects of generative artificial intelligence (AI) in society. Uniting the diverse research expertise across the University with generative AI at its core, GAIL taps into a thriving AI landscape with recognised strengths in natural language processing, machine learning, and data-driven innovation.
This interdisciplinary initiative focuses on advancing generative AI techniques in the key areas of future health and care, climate and sustainability, and economic growth, and is committed to innovating in generative AI through partnerships with global stakeholders, driving new collaborations and dynamic projects across government, industry, and the public sector.
Teaching
Research
Generative AI Guidelines for Postgraduate Research Students
Specific guidance on generative AI use aimed at Postgraduate Research students.
Revision March 2026.
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