fullscreen background
Skip to main content

Winter Quarter

Winter Registration Opens Nov 30
shopping cart icon0

Courses


« Back to Professional & Personal Development

TECH 73 — Applied Enterprise AI: Building Real-World Impact at Scale

Quarter: Winter
Instructor(s): Fawad Khan
Duration: 8 weeks
Location: Online
Date(s): Jan 20—Mar 10
Class Recording Available: Yes
Class Meeting Day: Wednesdays
Grade Restriction: No letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Tuition: $590
   
Refund Deadline: Jan 22
 
Unit(s): 1
   
Enrollment Limit: 45
  
Status: Registration opens Nov 30, 8:30 am (PT)
 
Quarter: Winter
Day: Wednesdays
Duration: 8 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Jan 20—Mar 10
Unit(s): 1
Location: Online
 
Tuition: $590
 
Refund Deadline: Jan 22
 
Instructor(s): Fawad Khan
 
Grade Restriction: No letter grade
 
Enrollment Limit: 45
 
Recording Available: Yes
 
Status: Registration opens Nov 30, 8:30 am (PT)
 
 
Artificial intelligence is reshaping how enterprises operate, compete, and create value, yet many organizations are still working to understand where AI can have the greatest impact. This course provides a practical introduction to enterprise AI for professionals who want to understand how organizations are adopting AI, redesigning work, and applying emerging tools to real business challenges. Through examples from customer support, product management, business operations, and knowledge work, students will examine how companies identify AI opportunities, evaluate potential value, and incorporate AI into workflows and decision-making. The course also explains, in accessible terms, how modern AI works and how agentic AI is enabling new forms of automation and human-AI collaboration. Students will explore the governance, human oversight, and organizational factors that can determine whether AI initiatives succeed or stall. They’ll leave prepared to evaluate AI opportunities, ask informed questions, and make sound decisions about enterprise AI.

No coding or programming experience is required.

FAWAD KHAN
Head of Product, Azure Lab Services and Microsoft Dev Box, Microsoft

Fawad Khan teaches in the Master of Science in Information Management program at the University of Washington. Previously, he taught at Bellevue College, Everett Community College, and City University of Seattle, where he specialized in digital transformation, cloud computing, low-code development, and emerging technologies. He is the co-author of Digital Transformation using Emerging Technologies and the author of Enterprise Digital Transformation.