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Winter Registration Opens Dec 02
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TECH 21 — User-Centered Design for AI Applications

Quarter: Winter
Instructor(s): Rupa Chaturvedi
Duration: 5 weeks
Location: On-campus
Date(s): Jan 27—Mar 3
Class Recording Available: No
Class Meeting Day: Mondays
 
Class Meeting Time: 7:00—8:50 pm (PT)
Please Note: No class on February 17
Tuition: $390
   
Refund Deadline: Jan 29
 
Unit(s): 1
   
Enrollment Limit: 40
  
Status: Registration opens Dec 2 8:30 am (PT)
 
Quarter: Winter
Day: Mondays
Duration: 5 weeks
Time: 7:00—8:50 pm (PT)
Date(s): Jan 27—Mar 3
Unit(s): 1
Location: On-campus
 
Tuition: $390
 
Refund Deadline: Jan 29
 
Instructor(s): Rupa Chaturvedi
 
Enrollment Limit: 40
 
Recording Available: No
 
Status: Registration opens Dec 2 8:30 am (PT)
 
Please Note: No class on February 17
 
 
While AI models have existed for years, the introduction of a user interface brought mainstream attention to their capabilities, launching a new era of user experiences that transformed how humans interact with technology. This course is designed for those interested in learning how to create those systems by blending a combination of traditional user experience (UX) principles with AI-specific design strategies. Students will first learn foundational concepts, including natural language understanding (NLU) and natural language processing (NLP). You will then learn design principles—such as fairness, bias mitigation, dialogue management, and conversation flow—and apply them to a final project: creating an end-to-end conversational AI experience. In the process, you will learn to leverage user research to uncover insights into AI interactions and identify the right use cases for your AI products. Designed for both experienced UX and product professionals and newcomers, this course provides students with a robust understanding of AI design concepts and the practical skills to bring AI-powered user experiences to life.

RUPA CHATURVEDI
Product Design Professional

Rupa Chaturvedi has over 15 years of experience in the tech industry, having worked at companies such as Amazon (Alexa AI), Google, and Uber. She has worked at the intersection of human-centered design and emerging technologies, including computer vision, AI/ML, AR/VR, and generative and conversational AI. She is the founder of the Human Centered AI Institute as well as an active angel investor and advisor to companies and professionals on AI product development and design. She received an MS in product design from Stanford.