# AINS6200: AI for Marketing & Customer Insights

**Aurnova MSAI track:** Business AI  
**Credits:** 3  
**Format:** 8-week online graduate course

Uses AI for segmentation, recommendations, campaign optimization, customer analytics, content workflows, and measurement.

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 for Marketing & Customer Insights;
- 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. **Customer data and segmentation** — How does AI identify useful customer groups?
2. **Recommendation systems** — How do recommendations balance relevance, diversity, and business goals?
3. **Campaign optimization** — How can AI improve experimentation and targeting?
4. **Customer journey analytics** — How do signals across channels form a coherent picture?
5. **Generative AI for marketing operations** — Where can generation increase throughput without weakening brand control?
6. **Measurement, attribution, and incrementality** — What evidence shows marketing impact?
7. **Privacy, consent, and trust** — How do marketing AI systems respect customers?
8. **AI customer insights portfolio** — What should executives trust and act on?