Using GenAI with Confidence for University & College Professional Services Staff

This engaging, self-paced online course offers professional service staff in Higher and Further Education a comprehensive introduction to generative AI. Learn how to adeptly incorporate AI tools into your work, enhancing efficiency and reducing the burden of routine tasks.

Course Features:

Practical knowledge: gain confidence in the basics of generative AI while developing insight into its role in academic administration.

Real-life case studies: explore how University of Edinburgh's professional services staff are already benefiting from AI. These case studies cover applications such as brainstorming new ideas, assisting with writing tasks, summarising meetings and automating routine tasks.

Self-paced learning: complete the course within a flexible 12-week period post-registration, dedicating approximately 5 hours to acquire skills that will elevate your professional capabilities. 

There is an introductory **20% discount** if you sign up before the end of October 2026. Copy code BAY_20%_2026 to use at checkout.

By the end of the course, you will be able to:

• Use generative AI to brainstorm ideas, test thinking and draft documents faster
• Build Excel formulas  
• Confidently adjust tone, improve wording and check for inclusive language when generating text
• Write prompts that get you a usable answer quicker
• Build awareness of the pitfalls of generative AI including hallucinations, inaccuracies, and bias  
• Use AI confidently and responsibly.

This course is designed for professional services staff across Higher and Further Education: from administration, student support and HR to finance, marketing, IT, research support and library services. No technical background is required. If your work involves emails, documents, spreadsheets or meetings, you'll find practical ways to use generative AI to take the effort out of routine tasks. 

“I found this an excellent course, with great practical examples and encouragement to experiment further with the technology. Also found the possible drawbacks - risks, data security and sustainability issues were useful to know about.” - Learner Testimonial

There are no specific entry requirements for this course. Learners do not require any technical background.