AINS6202: AI Strategy for Executives#
Aurnova MSAI track: Business AI
Credits: 3
Format: 8-week online graduate course
Frames AI strategy, investment, operating models, governance, metrics, talent, and executive decision-making.
This course follows the Aurnova/Castalia course-site pattern used by AINS6003: each module includes book prose, an assignment notebook, slide notebook, narration, instructor notes, and an executable lab.
Course Outcomes#
By the end of the course, students will be able to:
explain the major concepts and tradeoffs in AI Strategy for Executives;
build or evaluate applied AI artifacts aligned with the course domain;
document assumptions, evidence, limitations, and operational risks;
connect technical work to governance, stakeholder needs, and deployment readiness.
Module Map#
AI strategy and competitive positioning — How does AI change an organization’s strategic options?
Investment thesis and portfolio design — How should leaders allocate AI investment?
Capability maturity and operating model — What capabilities must exist to execute strategy?
Build, buy, partner, or wait — Which sourcing choice fits the strategic context?
Risk appetite and governance — How do executives set boundaries for AI use?
Metrics, value realization, and accountability — How will leaders know AI strategy is working?
Talent, culture, and change — What human systems make AI adoption durable?
Executive AI strategy brief — What decision should the executive team make now?