Workforce Competency Alignment

NAAIC Applied AI KSA Crosswalk From the AI in Business AS through the Applied Human-AI BS

The National Applied AI Consortium (NAAIC) publishes industry-validated Knowledge, Skills, and Abilities for applied AI associate degrees. This crosswalk shows where each competency is introduced in the AS and how the BS develops it to mastery, extending the framework to the baccalaureate level.

How to read the crosswalk

I Introduced: first exposure to the concept or tool. D Developed: applied and analyzed in organizational contexts. M Mastered: applied independently in a major project or the capstone.

Lower-division mappings are proposed from course titles and descriptions and should be confirmed with Business and CIS faculty. Abilities (durable employability traits) appear in the NAAIC report as a theme rather than numbered items; they are reflected in S-47 and S-48.

Show only competencies addressed in the pathway

Scope note

Competencies left blank are deep technical engineering skills, such as computer vision model development, real-time streaming pipelines, cloud data integration, and edge/IoT deployment. These fit applied AI engineering programs. This degree prepares leaders who direct and govern that work, so students meet those topics at the awareness level in the core courses and can go further through restricted electives such as CIS 235 F Introduction to Cloud Computing and CISG 105 F Introduction to Augmented and Virtual Reality.

Source: National Applied AI Consortium (NAAIC), Applied AI Knowledge, Skills, and Abilities for AI Associate Degree, 2026. Item text follows the report, with minor typographical corrections.