# 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

1. **AI strategy and competitive positioning** — How does AI change an organization's strategic options?
2. **Investment thesis and portfolio design** — How should leaders allocate AI investment?
3. **Capability maturity and operating model** — What capabilities must exist to execute strategy?
4. **Build, buy, partner, or wait** — Which sourcing choice fits the strategic context?
5. **Risk appetite and governance** — How do executives set boundaries for AI use?
6. **Metrics, value realization, and accountability** — How will leaders know AI strategy is working?
7. **Talent, culture, and change** — What human systems make AI adoption durable?
8. **Executive AI strategy brief** — What decision should the executive team make now?