Students
Writing prompts, checking answers, and knowing what your instructor allows in each course.
Prompt with START
Use the five-part START framework to structure a request.
Learn by doing
Learn how to check what the model gives you
Getting good at AI is mostly judgment. Write a clear request, give it the right source material, check the answer against something you trust, and know when the task needs a person instead.
The verification habit
- 01FrameName the task and intended result.
- 02ContextProvide the sources and constraints.
- 03InspectRead the result closely.
- 04VerifyCheck what matters against a source.
- 05ImproveRevise the request or process.
Start with your role
Different work, different practice
Faculty and instructors
Setting expectations for your class, trying instructional patterns, and seeing what students actually learned.
Staff, builders, and leaders
Pointing the tools at work that repeats, and knowing what a supported service has to have.
A common foundation
Begin with AI Foundations
The core concepts, what UC policy says, and where AI genuinely helps in higher education. It is self-paced, runs in UC Learning, and anyone on campus can take it.
Put the foundation to work
Keep building
Watch someone do it
Recorded sessions showing the tools used on actual campus work.
Explore the Faculty AI Symposium
Sessions and materials on AI in teaching, research, and academic practice.
Use AI with context
Check what the model gives you before you use it
Follow the rules that apply to your course, your service, and your data. If a claim matters, verify it against a source you trust.