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While supervisor approval is not required for registration, it would be best practice to confer with your supervisor in advance of registering or attending.

These workshops are offered to all members of the UCM community.

Each session will be 45 minutes long.

Yes, for most sessions recordings will be available after the sessions for future access. However, the two advanced sessions are hands-on sessions and will not be recorded.

Yes, once you have registered, a link for the training鈥檚 live stream event will be sent to you as part of the registration acknowledgement. Please note that because these sessions are for the UCM community, you must have a UCMO.edu email to register; you must access the forms and the live stream events with your ucmo.edu identity.

Registration links for each session are as follows:

• AI for Staff: This session will be tailored toward staff on introducing Gemini and use cases involving workflows. Wednesday, October 22 at 1:30 pm.
  
  • Link to view the Live Stream Event:
    
• AI for Students: This session will be an introduction to Google Gemini as well as best practices in working with AI. Wednesday, October 22 at 2:30 pm.
  
  • Link to view the Live Stream Event:
    
• Introduction to AI: This session will explore a deeper dive into Large Language Models and how they function. Thursday, October 23 at 2:30 pm.
  
  • Link to view the Live Stream Event:
    
• Developing Use-Cases: The challenge of AI is in the development of use-cases. This session will focus on how to develop and evaluate use cases. Monday, October 27 at 2:30 pm.
  
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• Best Practices in AI Usage: This session will focus on additional tools within the Gemini environment such as image generation, mathematics, code, and query development. Wednesday, October 29 at 2:30 pm.
  
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• Ethics and AI Literacy: A review of ethical, governance, and compliance issues relevant to AI usage in Higher Education. Thursday, October 30 at 2:30 pm.
  
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• Prompt Engineering: The quality of AI output is determined by the quality of the inputs. This session will focus on how to write precision prompts for Gemini. Monday, November 3 at 2:30 pm.
  
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• Integrated Workflows*: This advanced session will focus on how to use JupyterLabs to create a singular information source with multiple outputs. Thursday, November 6 at 2:30 pm.

  • Link to register for in-person event:
    

• Low Code Automation*: This advanced session will focus on using Gemini to create the scripts to automate processes. Monday, November 10 at 2:30 pm.
  
  • Link to register for in-person event:
     

* Please Note: These two advanced workshops are hands-on, on- ground sessions and require advanced registration. To ensure a quality experience, registration is capped at 10 participants. These sessions are intended for attendees who have experience with generative AI or have attended an earlier workshop in this series. A personal laptop with pre-installed software is required; installation instructions will be sent upon registration.

All sessions other than the last two sessions assume no prior knowledge of (sessions requiring some pre-existing AI knowledge are 鈥淚ntegrated Workflows鈥� and 鈥淟ow Code Automation鈥�).  These advanced training sessions will cover complex AI topics and require hands-on participation; it would be helpful for participants to either have completed a previous session or have experience in working with an AI. Also, the last two training sessions are in-person events with a capped number of attendees and require participants to have access to a computing device with specific software during the session. OT will deliver the specialized software after participant registration and confirmation. These advanced sessions will NOT be recorded.

You are welcome to attend as many of the sessions as you would like and that are convenient.

As part of the institution鈥檚 move into an AI future, and as a learning organization, UCM stands committed to informing and supporting community members in developing their AI skills.

Yes. DLII will continue to offer workshops and support for faculty AI usage. Additionally, the recordings of these above mentioned AI Training sessions will continue to be available on the OT website.