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Spring Registration Opens Feb 24
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TECH 78 — No-Code AI: Unlocking Business Potential

Quarter: Spring
Instructor(s): Gauthier Vasseur
Duration: 6 weeks
Location: On-campus
Date(s): Apr 8—May 13
Class Recording Available: No
Class Meeting Day: Tuesdays
 
Class Meeting Time: 7:00—8:50 pm (PT)
Tuition: $435
   
Refund Deadline: Apr 10
 
Unit(s): 1
   
Status: Registration opens Feb 24, 8:30 am (PT)
 
Quarter: Spring
Day: Tuesdays
Duration: 6 weeks
Time: 7:00—8:50 pm (PT)
Date(s): Apr 8—May 13
Unit(s): 1
Location: On-campus
 
Tuition: $435
 
Refund Deadline: Apr 10
 
Instructor(s): Gauthier Vasseur
 
Recording Available: No
 
Status: Registration opens Feb 24, 8:30 am (PT)
 
You’ve heard the promise that advances in artificial intelligence and machine learning are profoundly significant to both business and society. But the related learning curves necessary for practical use seem daunting: Do you need to learn code? Do you need to know math or statistics? Do you need to be a data scientist? Not necessarily. This hands-on course will present the keys for applying AI to your business without writing a single line of code. While logic and interest in analytics are important foundations for learning, no-code solutions are making the power of AI and ML accessible to anyone eager to see beyond traditional analysis.

This course will remove technical barriers and instead focus on approaches that matter most: the ability to express relevant business questions, manage data preparation and quality, select and assess the outcomes of algorithms, deliver a relevant interpretation of results, mitigate biases, and show leadership that drives impact. In this course, we will discuss real-world case studies, including those predicting healthcare spending and insurance fraud detection. By the end of the course, students will understand both AI and ML algorithms for unlocking business potential while keeping AI humane, ethical, and inclusive.

Prior experience in business analytics is helpful.

GAUTHIER VASSEUR
Business Analytics Leader and Strategist

Gauthier Vasseur has worked in business analytics and AI for large organizations such as Oracle, Google, and many data tech startups, helping global customers from a range of industries harness their data to improve their businesses. He is the executive director of UC Berkeley's Fisher Center for Business Analytics and co-founder of the Alliance for Inclusive AI. He focuses on driving awareness, education, and diversity in analytics. Vasseur received an MBA from l’École des Hautes Études (EDHEC) in France.

Textbooks for this course:

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