TECH 73 — Applied Enterprise AI: Building Real-World Impact at Scale
Quarter: Summer
Instructor(s): Fawad Khan
Date(s): Jun 24—Aug 12
Class Recording Available: Yes
Class Meeting Day: Wednesdays
Grade Restriction: No letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Tuition: $470
Refund Deadline: Jun 26
Unit(s): 1
Enrollment Limit: 45
Status: Registration opens May 18, 8:30 am (PT)
Quarter: Summer
Day: Wednesdays
Duration: 8 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Jun 24—Aug 12
Unit(s): 1
Tuition: $470
Refund Deadline: Jun 26
Instructor(s): Fawad Khan
Grade Restriction: No letter grade
Enrollment Limit: 45
Recording Available: Yes
Status: Registration opens May 18, 8:30 am (PT)
Artificial intelligence is reshaping the enterprise, yet many organizations struggle to move from experimentation to sustained impact. This course provides a practical introduction to enterprise AI, focusing on deploying systems at scale and aligning them with business priorities.
Core technologies—such as large language models, multi-agent systems, vector databases, and the Model Context Protocol—are introduced through an applied decision-making lens rather than a coding focus. Students examine how AI initiatives are identified, evaluated, and governed, including how organizations move from early pilots to production-ready systems. Real-world examples from customer support, sales forecasting, and IT operations ground concepts in practice.
Beyond technology, the course explores how AI drives enterprise evolution, including shifts in operating models, workforce roles, and organizational structure, as well as challenges that cause initiatives to stall or fail. Governance, human-in-the-loop design, and ethical considerations are framed as enablers of trust and scale.
Core technologies—such as large language models, multi-agent systems, vector databases, and the Model Context Protocol—are introduced through an applied decision-making lens rather than a coding focus. Students examine how AI initiatives are identified, evaluated, and governed, including how organizations move from early pilots to production-ready systems. Real-world examples from customer support, sales forecasting, and IT operations ground concepts in practice.
Beyond technology, the course explores how AI drives enterprise evolution, including shifts in operating models, workforce roles, and organizational structure, as well as challenges that cause initiatives to stall or fail. Governance, human-in-the-loop design, and ethical considerations are framed as enablers of trust and scale.
No coding background is required.
FAWAD KHAN
Head of Product, Azure Lab Services and Microsoft Dev Box, Microsoft
Fawad Khan teaches in the graduate MSIM program in the Information School at the University of Washington. Previously, he taught at Bellevue College, Everett Community College, and City University, specializing in digital transformation, cloud computing, low-code development, and emerging technologies. He is the co-author of Digital Transformation Using Emerging Technologies and author of Enterprise Digital Transformation. Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.