LinkedIn Learning Courses 

LinkedIn Learning offer a range of courses on AI, helping develop your skills in programming, data analysis, machine learning, computer vision, natural language processing, and more. 

From "Getting Started with AI and Machine Learning" and "What is Generative AI", to "What Is Copilot? An Overview of Microsoft’s AI Tools”, there are learning opportunities for all levels of ability and interest. 

Find out more under the Artificial Intelligence topic on LinkedIn Learning.

Here at the University, we have partnered with Microsoft adoption specialists M365 Tribe to develop two new Copilot Chat programmes to build your confidence and learn how to apply Copilot at work.

You can join the Copilot Chat Skills Programme Community:

Develop your Copilot skills, share experiences, and learn from AI experts. Discover real-world use cases, tips, tricks, and prompts to boost productivity and earn digital badges as you build your AI skills. This programme is designed for everyone, no matter your experience level, and will help you discover Copilot’s potential at your own pace.

Join the community

You can also become a Microsoft 365 and Copilot Chat Champion:

For those looking to get the most out of Microsoft 365 and Copilot, with applications such as Teams, SharePoint, OneDrive and Power Automate whilst supporting colleagues, the Champions programme, will give you the tools and confidence to lead. This is an extension of our existing M365 Digital Champions programme.

As a Champion, you will:

• Grow your Copilot Chat expertise with dedicated on-demand training
• Take part in interactive training, scenario-based learning, and monthly webinars
• Support your peers and drive adoption of Copilot Chat and M365 tools
• Earn digital badges and recognition
• Access priority support through our “Ask the Experts” channel
• Join a vibrant community of Champions

Apply now

To find out more about these opportunities, read the StaffNet article here, including a video where CIO, PJ Hemmaway discusses Copilot and AI at the University. 

Digital and AI Academy apprenticeship opportunities  - Build your Data and AI Skills 

In line with our commitment to developing digital capability and preparing colleagues for the future of work, we’re pleased to launch the next Data and AI Academy in partnership with Multiverse. The programmes available are a significant investment in our colleagues, and we’re delighted to offer this opportunity to you.

Regardless of your role, data and AI skills will be critical in the future and important for everyone’s professional development.  

Colleagues participating in our Data and AI programmes have reported saving approximately four hours per week, thanks to the new skills and knowledge they've acquired 

  What’s in it for you? 

• Learn in-demand skills and earn qualifications to future-proof and fast-track your career, with the support of a Multiverse coach 
• Make quicker decisions based on data, saving time and increasing efficiency  
• Leverage AI to make your life easier by automating repetitive tasks 
• Spend 6 hours a week on learning new skills and applying these directly to your role 

 How to find out more information  

If you are interested in the data and AI programmes with Multiverse and you’d like to learn more:  

• You must have a conversation with your manager for transparency, even at interest stage.  
• Register for an Information Session with Multiverse here 

No previous data or AI experience is required, and joining a session won’t commit you to the programme, so we encourage you to go along and learn more.  

If you’re unable to attend, please complete the form and a recording will be sent to you via email.

Elearning AI Guidance and Learning Resources

Generative AI (GenAI) is transforming the way we learn, work, and create. Understanding how to use GenAI effectively is crucial; it can help with brainstorming ideas, refine writing, analyse data, and solve complex problems. Many industries are integrating AI into their workflows, meaning that those with AI literacy will have a competitive edge in the job market. Employers are looking for individuals who can critically assess AI-generated content, use AI tools ethically, and apply them to real-world challenges. 

The following content was developed by Professor Paul Shore from the Faculty of Biology, Medicine and Health, and is a helpful resource which discusses practical ways to use GenAI responsibly. 

• AI Guidance for Learners Site
• An Introduction to Learning Effectively with Generative AI Slides