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Explore Curated AI Teaching Resources

Empowering faculty with specialized resources to teach cutting-edge AI at community colleges.

AI Teaching Frameworks

Foundational resources that outline instructional approaches, learning outcomes, and best practices for integrating AI into diverse academic disciplines. These include conceptual models, competency maps, and instructional design strategies tailored for community college environments.

Curriculum Models

Ready-to-use and adaptable course materials including syllabi, module outlines, sample assignments, and full Canvas course exports. Designed to support the development of AI pathways and individual courses in areas such as machine learning, ethics, data science, and more.

Faculty Development Workshops

Training materials, slide decks, and recordings from past professional development sessions. These resources support instructors in building content expertise, teaching AI concepts confidently, and accessing industry-aligned certification opportunities.

Program Implementation Guides

Explore how colleges across the consortium have successfully launched and expanded AI programs through mentorship, faculty collaboration, and strategic partnerships. This section features highlights and success stories from NAAIC’s mentorship initiative, offering real-world examples and lessons learned from institutions leading the way in applied AI education.

“With NAAIC's resources, we’re helping faculty not only learn about AI but also know how to put it into their curricula and adapt to the age of AI in education.”

Jerry Hensel
Professor at Valencia College