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TECH 21 — User-Centered Design for AI Applications

Quarter: Summer
Instructor(s): Rupa Chaturvedi
Duration: 6 weeks
Format/Location: On-campus
Date(s): Jun 25—Aug 6
Class Recording Available: No
Class Meeting Day: Tuesdays
 
Class Meeting Time: 7:00—8:50 pm (PT)
Please Note: No class on July 16
Tuition: $435
   
Refund Deadline: Jun 27
 
Unit(s): 1
   
Enrollment Limit: 40
  
Status: Registration opens May 20, 8:30 am (PT)
 
Quarter: Summer
Day: Tuesdays
Duration: 6 weeks
Time: 7:00—8:50 pm (PT)
Date(s): Jun 25—Aug 6
Unit(s): 1
Format/Location: On-campus
 
Tuition: $435
 
Refund Deadline: Jun 27
 
Instructor(s): Rupa Chaturvedi
 
Enrollment Limit: 40
 
Recording Available: No
 
Status: Registration opens May 20, 8:30 am (PT)
 
Please Note: No class on July 16
 
 
While AI models have been around for years, it was the novelty of adding a user interface that brought mainstream attention to their capabilities and ushered in the next generation of user experiences that would forever change how humans interact with technology. This course is designed for those interested in learning how to create those experiences. Students will start by learning foundational concepts, including natural language understanding (NLU) and computer vision. They will then move on to learning design principles, including—but not limited to—fairness and bias mitigation, dialogue management, and conversation flow. Students will apply these concepts to a final project: an end-to-end conversational AI user experience flow. In the process, students will acquire new skills in conducting user research, developing insights to help them shape an MVP for their AI product, prototyping the user experience, and gathering user feedback. By the end of this course, students will have acquired a robust understanding of AI design concepts and the skills to take on real AI projects.

RUPA CHATURVEDI
Head of Merchant & Ads Design, Uber

Rupa Chaturvedi is a seasoned product design professional with over 15 years of experience in the tech industry, having worked at companies such as Amazon (Alexa AI), Google, Uber, and unicorn startups such as Sentient Technologies. She has worked at the intersection of human-centered design and emerging technologies, including computer vision, AI/ML, AR/VR, and conversational and voice interfaces. She also teaches several professional courses on conversational AI and AI design and runs a nonprofit managing a high school solar car team. She received an MS in product design from Stanford.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.