Machine Learning and AI in Marketing

A practitioner's course on working with large language models — how they work under the hood, and how to build with them: copilots, agents, and multi-agent orchestration. Students ship a real AI application and show, with evidence, whether it works. One dual-level text — twelve chapters of lecture notes plus labs — serves both the undergraduate and graduate offerings.

Spring 2026 student projects ↗

  1. The Fluency Illusion
  2. Your Inspectable AI Workspace
  3. How LLMs Work
  4. How to Steer One LLM Call
  5. The Copilot's Handbook
  6. Your First Complete Project
  7. How AI Learns
  8. How Attention Works
  9. The Anatomy of an Agent
  10. The Agent Toolkit
  11. Designing Orchestration
  12. Building a Multi-Agent System
Appendices Capstone Project Brief · Working Reference · Glossary of Key Terms