Training Opportunities with ITS
2026 CoPilot Training
This work is funded through Microsoft Copilot funds, meaning there is no cost to the University for these services. It is designed to help us move from initial exposure to more structured adoption, while also establishing the governance and strategy needed to scale responsibly.
All sessions will be delivered via Microsoft Teams. Sessions will be recorded and made available to the campus community for those unable to attend live.
End User Enablement Sessions (Faculty & Staff)
We have defined five initial sessions to provide a progression from foundational understanding
to practical application. For the faculty and staff-focused sessions, we plan to collect
use cases in advance to ensure the content reflects real needs across the institution.
Copilot Chat Foundations
Focus on access, navigation, and basic usage across audiences.
Copilot Chat Foundations
Focus on access, navigation, and basic usage across audiences.
M365 Copilot Overview and Strategic Next Steps
Clarifies differences between free and licensed capabilities and aligns next steps.
Includes hands-on scenarios for users with the M365 Copilot license.
Faculty-Focused Applications
Scenario-based session tailored to teaching, research, and academic workflows.
Staff-Focused Applications
Scenario-based session aligned to administrative and operational workflows.
Additional Engagement Components
In addition to training sessions, the SOW (Statement of Work) includes several strategic activities that are equally important for long-term success:
- Enablement Strategy Session (1 session)
Focus on establishing a Center of Excellence, identifying a Champions Program, and defining how we measure adoption and impact. - Use Case Development Deep Dive (1 session)
Structured review of a high-value university use case, including potential cost and guardrail considerations for more advanced scenarios. We will need use case ideas submitted for this session. - Governance and Architecture Review
Collaboration across ITS (Security, EIS, and others) to assess current state and develop recommendations, including AI policy alignment, data protection considerations, and deployment strategy.
This engagement is designed to move us beyond individual experimentation and toward a coordinated, scalable approach that includes:
- Clear governance and policy alignment
- Defined use cases that deliver measurable value
- Structured enablement for faculty and staff
- A sustainable model for ongoing adoption (Champions + Center of Excellence)