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▸ Entry-level IT work is being rewritten by AI faster than community-college curriculum can absorb. I'm working on closing that gap.
Dr. Frazier Smith
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Resources

Things I've made public.

Study materials, templates, and tools — free to use, adapt, and fork.

Study Guide

AWS Study Materials

172 self-authored cheat sheets and study notes covering AWS Academy's Cloud Practitioner, Solutions Architect, Developer, SysOps, and Data Center course tracks — distilled from course decks and speaker notes, not verbatim AWS content.

For: AWS Academy students View resource →
Guide

Exploring AI — Wingate Faculty Seminar

A companion resource for a Spring 2026 Wingate University faculty seminar on integrating AI into teaching — the Stoplight Framework for setting AI-use expectations, the CORE Prompting Framework, downloadable seminar slides, and curated references.

For: College faculty View resource →
Repository

CSC 214 — Artificial Intelligence II (OER Textbook)

An open educational resource textbook for Central Piedmont's CSC 214, an eight-week Azure AI course covering model deployment, RAG/grounding, AI agents, multi-agent orchestration, text analysis, vision, and a multimodal capstone project. Published under NSF ATE award

For: AI educators and CSC 214 students View resource →
Guide

Would You Pull the Lever? Workshop Materials

The full workshop deck for the NSF-funded "Would You Pull the Lever?" seminar — the Trolley Problem reframed as a working vocabulary for AI ethics (acts vs. omissions, doctrine of double effect, moral distance, distributed agency) applied to live scenarios in autonomous systems, hiring algorithms, and AI-mediated work.

For: Educators and event organizers running the workshop View resource →
frazier.smith

AI & IT educator. Learning design leader. Department chair at Central Piedmont. Speaker on the things in between.

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