Academic Technology Training Sessions

Upcoming Training Sessions:

January 2026 AI Training Sessions (Zoom)

All sessions will be held via Zoom.  Participants may attend either offering of a session. Dr. Susan Codone will lead each session.

Session 1: Getting Started with AmplifyAI

Description
This introductory session helps faculty and staff get started with AmplifyAI. Participants will learn how to navigate the platform, open and manage conversations, create reusable artifacts, use the Prompt Optimizer, and choose the appropriate default AI model for common tasks. The session emphasizes practical use, clear boundaries, and human oversight.

Who should attend
Faculty and staff with AmplifyAI access. No prior AI experience required.

• Tuesday, January 13 at 12:30 PM
• Friday, January 16 at 12:15 PM

Session 2: Using Assistants in AmplifyAI for Repeated Tasks

Description
This session focuses on using Assistants in AmplifyAI to support recurring work more efficiently. Participants will learn how to design, test, and refine Assistants for tasks such as course preparation, document review, and research or policy analysis, while keeping humans responsible for decisions and outcomes.

Who should attend
Faculty and staff with AmplifyAI access who want consistent, repeatable workflows. Recommended for after Session 1.

• Tuesday, January 27 at 12:30 PM
• Friday, January 30 at 12:15 PM

Session 3: Vibe Coding for Canvas – Using AI to Build Clear, Well-Structured Course Pages

Description
This hands-on session shows how AI can help faculty build clean, consistent Canvas pages without technical expertise. Participants will learn how to use AI to generate basic HTML and improve layout and readability.

Who should attend
Any faculty and staff using Canvas. No coding or AI experience required.

• Wednesday, January 14 at 1:30 PM
• Tuesday, January 20 at 12:30 PM

Session 4: Choosing the Right AI Model for the Task

Description

This session helps participants understand why different AI tools and models produce different results and how to choose the right one for the task. The focus is on practical judgment, task-based decision-making, and knowing when switching tools is more effective than rewriting prompts.

Who should attend
Any faculty/staff using AI tools. No prior AI experience required.

• Tuesday, January 13 from 2:00–3:00 PM
• Friday, January 23 at 12:15 PM

You can always book one-on-one sessions with Ms. Knighton.