This digital course called Harnessing Artificial Intelligence for Teaching
will provide basic information you need to help you think through how new
tools like TerpAI, ChatGPT, Microsoft Copilot, Adobe Firefly, and others
will affect your teaching. After learning some basics about how these tools
work, you'll be given the opportunity to think through ways to incorporate
and/or deter AI in your assignments and activities.
Find additional live workshops on AI and other teaching topics
here.
Courses
Two structured courses — one built for instructors, one for students. Both run on UMD's own learning platforms, both work at your own pace, and both are free.
This ELMS-Canvas module will help you:
- Explain generally how AI-based tools work as well as their benefits and risks
- Recognize when AI gives inaccurate or misleading answers, and fact-check AI output
- Cite AI-generated work
- Begin exploring creative ways to use these tools
Put it to work
Training is the warm-up. These are where you actually use what you learned.
Every approved AI tool with its data classification and access details.
Tested prompts for common academic, administrative, and personal tasks — organized by use case.
Find Google Cloud credits, Kiro's UMD rollout status, and GitHub Education and Copilot benefits.