TECH 78 — No-Code AI: Unlocking Business Potential
Quarter: Winter
Instructor(s): Gauthier Vasseur
Date(s): Feb 4—Mar 11
Class Recording Available: Yes
Class Meeting Day: Wednesdays
Class Meeting Time: 7:00—8:50 pm (PT)
Tuition: $445
Refund Deadline: Feb 6
Unit(s): 1
Status: Open
Quarter: Winter
Day: Wednesdays
Duration: 6 weeks
Time: 7:00—8:50 pm (PT)
Date(s): Feb 4—Mar 11
Unit(s): 1
Tuition: $445
Refund Deadline: Feb 6
Instructor(s): Gauthier Vasseur
Recording Available: Yes
Status: Open
AI is reshaping industries, but driving real organizational value doesn’t require coding expertise or a data science degree. This course equips professionals to harness AI through no-code tools and approaches, focusing on strategy, ethics, and measurable outcomes. You’ll learn how to frame the right questions, prepare reliable data, and choose effective models without being slowed by technical complexity.
Through case studies in areas such as healthcare cost forecasting and fraud detection, you’ll see how no-code AI accelerates decision-making and drives competitive advantage. Hands-on exercises will help you practice evaluating model performance, mitigating bias, and translating predictions into actionable insights.
By the end of the course, you will have a practical framework for leading AI initiatives that align with organizational culture and strategy while championing responsible, ethical, and inclusive practices. Designed for business leaders and professionals, this course empowers you to turn AI potential into meaningful business impact—without writing a line of code.
Through case studies in areas such as healthcare cost forecasting and fraud detection, you’ll see how no-code AI accelerates decision-making and drives competitive advantage. Hands-on exercises will help you practice evaluating model performance, mitigating bias, and translating predictions into actionable insights.
By the end of the course, you will have a practical framework for leading AI initiatives that align with organizational culture and strategy while championing responsible, ethical, and inclusive practices. Designed for business leaders and professionals, this course empowers you to turn AI potential into meaningful business impact—without writing a line of code.
Prior experience in business analytics is helpful but not required. This course relies on the use of an external, third-party tool that is not managed or supported by Stanford. Students must purchase their own tool subscriptions and can expect to spend $25-$100 per month. Please see the course syllabus for more details.
GAUTHIER VASSEUR
Business Analytics Leader and Strategist
Gauthier Vasseur has worked in business analytics and AI for large organizations such as Oracle and Google and at 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 CEO of Data Wise Academy. 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.