Syllabus: AINS6202 AI Strategy for Executives

Catalog Description

Frames AI strategy, investment, operating models, governance, metrics, talent, and executive decision-making.

Course Structure

Each week includes readings, a lecture/slide sequence, an executable lab, and an applied deliverable. Students maintain a reproducible project record and submit work through the LMS or GitHub workflow selected by the instructor.

Weekly Schedule

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

Assessment

Component	Weight
Weekly labs and notebooks	30%
Applied assignments	35%
Participation and technical critique	15%
Final synthesis portfolio	20%

Graduate Expectations

Submissions must show technical reasoning, evidence awareness, clear limitations, and responsible use of AI assistance. Code and analysis should be reproducible enough for instructor review.