Prerequisites: Restricted to students in the Digital Advertising MS program.
This advanced, practice-oriented course examines how artificial intelligence is reshaping the end-to-end advertising value chain--from insight generation and creative development to personalization, media optimization, and customer experience design. Building on foundational AI-in-advertising concepts, students will develop the skills to design AI-enabled creative systems, prototype AI-driven experiences (including conversational and agentic interfaces), and evaluate the ethical, legal, and strategic tradeoffs of deploying AI in Business-to-Consumer (B2C) contexts. The course emphasizes hands-on experimentation with current AI tools, frameworks for trustworthy deployment, and professional communication of AI strategy to stakeholders.
Outcomes: Explain core AI capabilities and limitations in advertising contexts; Design generative AI workflows for creative production; Translate business problems into AI-assisted insight and measurement plans; Prototype conversational/agentic customer experiences; Evaluate ethical, legal, and governance implications of AI deployment; Present AI strategy and implementation recommendations professionally.
This advanced, practice-oriented course examines how artificial intelligence is reshaping the end-to-end advertising value chain--from insight generation and creative development to personalization, media optimization, and customer experience design. Building on foundational AI-in-advertising concepts, students will develop the skills to design AI-enabled creative systems, prototype AI-driven experiences (including conversational and agentic interfaces), and evaluate the ethical, legal, and strategic tradeoffs of deploying AI in Business-to-Consumer (B2C) contexts. The course emphasizes hands-on experimentation with current AI tools, frameworks for trustworthy deployment, and professional communication of AI strategy to stakeholders.
Outcomes: Explain core AI capabilities and limitations in advertising contexts; Design generative AI workflows for creative production; Translate business problems into AI-assisted insight and measurement plans; Prototype conversational/agentic customer experiences; Evaluate ethical, legal, and governance implications of AI deployment; Present AI strategy and implementation recommendations professionally.