Curriculum
Each module combines business framing, applied labs, and workplace simulations drawn from the professional workbook. Every module produces documented evidence of competency, building toward the AI Transformation Blueprint™ capstone.
120
Total Clock Hours
48
Theory & Demonstration
72
Applied Lab, Simulation & Capstone
60%
Applied Learning
3 theory • 3 applied
Competencies
Required evidence: Signed Individual Training and Employment Plan
6 theory • 4 applied
Competencies
Required evidence: AI foundations knowledge check and business application brief
4 theory • 8 applied
Competencies
Required evidence: Verified prompt library with documented human review
4 theory • 6 applied
Competencies
Required evidence: Discovery summary and validated problem statement
4 theory • 8 applied
Competencies
Required evidence: Current-state and future-state workflow maps
5 theory • 7 applied
Competencies
Required evidence: Data classification worksheet and safeguards checklist
5 theory • 7 applied
Competencies
Required evidence: Responsible AI policy draft and risk register
4 theory • 8 applied
Competencies
Required evidence: Prioritized use-case canvas and vendor evaluation scorecard
4 theory • 8 applied
Competencies
Required evidence: 90-day pilot charter with training and adoption plan
4 theory • 6 applied
Competencies
Required evidence: Measurement framework and executive brief
3 theory • 5 applied
Competencies
Required evidence: Career portfolio and 30-day action plan
2 theory • 12 applied
Competencies
Required evidence: Completed AI Transformation Blueprint™ and presentation
Capstone
Every participant must complete an employer-style AI Transformation Blueprint for a real or realistic organization. The capstone must include:
Instructional hours, module sequencing, and delivery format may be adjusted for contracted cohorts to meet employer, college, or workforce requirements while maintaining the 120-hour competency standard.