Advanced AI Marketing Practice

This capstone unit synthesizes technical, ethical, legal, and strategic considerations for applying AI across marketing functions—covering tools for SEO, performance marketing, personalization, visuals, and synthetic media as well as challenges like bias, deepfakes, and loss of brand voice. Students build on prior units to select and deploy AI solutions, mitigate risks, and measure outcomes while preserving human oversight and long‑term brand value.

Learning Objectives

• Analyze technical, ethical, and brand risks associated with advanced marketing AI applications (NLP/sentiment analysis, deepfakes, neural interfaces, and predictive world models) and prioritize mitigation actions
• Apply appropriate AI tools and workflows to create and optimize visual assets, SEO, performance marketing, personalization campaigns, and synthetic media while maintaining consistent brand voice
• Evaluate legal, bias, and privacy implications of AI-driven marketing; design and justify policies and prompt practices that reduce bias, ensure compliance, and protect customer trust
• Demonstrate creation, testing, and interpretation of synthetic customer panels and predictive customer-behavior simulations to inform marketing decisions and ROI measurement, articulating limitations and required human oversight