Upskilling For Data Science and AI

Undergraduate and Masters Students

• Generative AI (Gen AI) (StudySkills@Sheffield) - A collection of guidance and resources to help you to get the most out of Generative AI within and alongside your studies.
• How to use Generative AI critically - This guidance focuses on the skills you need to engage critically and ethically with the outputs of Generative AI (GenAI) tools and develop your understanding of how they can inform your academic work.
• Generative AI academic prompt bank - a dynamic resource designed to support your thoughtful and ethical use of GenAI.
• Principles for generative AI in learning and teaching - guiding principles for the use of Generative AI in learning and teaching at the University of Sheffield.

PhD Students

• Technical courses (from IT Services) in:
  • programming (Python, Matlab, R),
  • data science and
  • AI (including deep learning)
• FAIR (Findable, Accessible, Interoperable, Reusable) software development (from Research Software Engineering).
• git & GitHub through GitKraken - software version control and team collaboration with Git and GitHub (from Research Software Engineering).
• Generative AI (Gen AI) (StudySkills@Sheffield) - A collection of guidance and resources to help you to get the most out of Generative AI within and alongside your studies.
• How to use Generative AI critically - This guidance focuses on the skills you need to engage critically and ethically with the outputs of Generative AI (GenAI) tools and develop your understanding of how they can inform your academic work.
• Generative AI academic prompt bank - a dynamic resource designed to support your thoughtful and ethical use of GenAI.
• ​​​​​​​Principles for generative AI in learning and teaching - guiding principles for the use of Generative AI in learning and teaching at the University of Sheffield.
• Principles for Using GenAI in Research and Innovation - Guidance and principles for researchers on the judicious and appropriate use of Generative AI (GenAI) in their research.

Teaching & Research Staff

• Technical courses (from IT Services) in:
  • programming (Python, Matlab, R),
  • data science and
  • AI (including deep learning)
• FAIR (Findable, Accessible, Interoperable, Reusable) software development (from Research Software Engineering).
• git & GitHub through GitKraken - software version control and team collaboration with Git and GitHub (from Research Software Engineering).
• Artificial intelligence in learning and teaching - Guidance on the use of generative AI in higher education including assessment, workshops for staff, and examples of practice.
• Generative AI academic prompt bank - a dynamic resource designed to support your thoughtful and ethical use of GenAI (from 301 Academic Skills).
• Principles for Using GenAI in Research and Innovation - Guidance and principles for researchers on the judicious and appropriate use of Generative AI (GenAI) in their research.

Professional Services Staff

• Principles for the use of Generative AI for productivity purposes - Outlining the University’s approach to the responsible and effective use of Artificial Intelligence (AI) tools to enhance productivity across all administration aspects of University work, including professional services, research support and teaching-related support tasks.

Other

• RSE Team Training
• AI help for all - Google Gemini.