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