Work Smarter, Not Harder with Everyday AI
Introducing the AI Essentials Series: 90-minute weekly sessions to help you write smarter, research faster, stay organized, and use advanced AI agents to automate tasks and boost productivity
Each session is:
- 100% Online, Live Instructor-Led
- Designed for Non-Technical Professionals
- Focused on Practical, Everyday AI Use
AI Essentials Series Sessions
Sessions meet conveniently online on Thursdays from 11:00 AM – 12:30 PM in October and November.
At just $25 per session, you can sign up for one session or take all six and start building the essential AI skills to work smarter, faster, and more creatively.
Why Choose the AI Essentials Series?
AI Essentials Series Details
- Format: Live on Zoom*
- Session Duration: 90 minutes – featuring 75 minutes of instruction and 15 minutes for Q&A
- Session Dates and Times:
- Thursday, October 2, 2025, 11:00 AM – 12:30 PM
- Thursday, October 9, 2025, 11:00 AM – 12:30 PM
- Thursday, October 23, 2025, 11:00 AM – 12:30 PM
- Thursday, October 30, 2025, 11:00 AM – 12:30 PM
- Thursday, November 6, 2025, 11:00 AM – 12:30 PM
- Thursday, November 13, 2025, 11:00 AM – 12:30 PM
- Cost: $25 per session
*While live participation is strongly encouraged, all Zoom sessions will be recorded and made available for participants who may not be able to attend for the full duration of the session.
Recommendation for paid applications: Please note that in preparation for the exercises and assignments you will do during the course, we recommend that participants have access to a paid version of a large language model, such as ChatGPT Plus or Gemini Pro. The paid versions of these platforms offer more advanced capabilities, better reasoning, and improved performance for the tools and workflows we will be exploring together.
Ready to build your AI Essentials toolkit?
University of Maine System employees – please submit this form before registering to pay for this course via Interdepartmental Transfer using ChartFields.
Questions? Contact us at mainecenter@maine.edu
About The Instructors
Ryan Low serves as the Vice Chancellor for Finance and Strategic AI Integration & Treasurer for the University of Maine System, where he oversees financial operations, resource management, and administrative functions across the system’s seven universities. With a focus on fiscal responsibility, operational efficiency, and the strategic use of AI, he works to ensure the system remains financially sustainable while supporting its mission of accessible, high-quality education for Maine’s students.
Ryan has extensive experience in public administration, higher education finance, and AI integration. He is an active voice in discussions on the role of AI in higher education, presenting at events such as the New England Commission of Higher Education (NECHE) in Boston and the Higher Learning Commission (HLC) in Chicago. He is a member of Governor Janet Mills’ Maine Artificial Intelligence Task Force and co-chairs the UMS AI Task Force, helping to guide responsible AI adoption within the university system. Additionally, he is a member of the Generative AI Network for Accreditation and Higher Education (GAIN-AHEAD), an HLC-convened group focused on AI applications in accreditation, institutional operations, and policy development.

Gretchen Catlin serves as the Chief Facilities & General Services Officer for the University of Maine System, where she leads systemwide efforts in facilities, risk and safety, strategic procurement, capital planning, and work management systems. She is pursuing a PhD in Public Policy with a focus on educational leadership at the University of Southern Maine, building on her MBA from the University of Maine and her Bachelor’s in Business Administration from Husson University. In addition to her studies and work, Gretchen also serves on the United Educators Risk Advisory Board.
Gretchen views AI as a powerful workforce multiplier – a tool that enhances communication, streamlines routine tasks, and supports more efficient research and decision-making. Under her leadership, teams have applied AI to build chatbots, document standard operating procedures, and develop practical solutions that improve efficiency and service. Her work emphasizes using AI responsibly to improve productivity across higher education and business settings.

Danae London serves as the Integrated Work Management System (IWMS) Manager for the University of Maine System, where she runs the Unified Work Control Center in support of UMS Facilities and General Services. She has worked for the University of Maine System for 7 years.
Danae champions practical, accessible technology that supports both people and business productivity. She believes the best tools are effective, enjoyable, and easy for everyone to use
