TECH 114 — AI and Machine Learning: Make Your Business More Effective and Profitable
Quarter: Spring
Instructor(s): Giancarlo Mori
Date(s): Apr 18—Apr 19
Class Recording Available: No
Class Meeting Day: Saturday and Sunday
Grade Restriction: No letter grade
Class Meeting Time: 10:00 am—4:00 pm (PT)
Tuition: $420
Refund Deadline: Apr 11
Unit(s): 1
Enrollment Limit: 65
Status: Registration opens Feb 23, 8:30 am (PT)
Quarter: Spring
Day: Saturday and Sunday
Duration: 2 days
Time: 10:00 am—4:00 pm (PT)
Date(s): Apr 18—Apr 19
Unit(s): 1
Tuition: $420
Refund Deadline: Apr 11
Instructor(s): Giancarlo Mori
Grade Restriction: No letter grade
Enrollment Limit: 65
Recording Available: No
Status: Registration opens Feb 23, 8:30 am (PT)
Artificial intelligence and machine learning are reshaping business, but for many executives and entrepreneurs, it can be challenging to see beyond the hype and understand how to leverage AI effectively. This workshop equips students with practical tools to identify high-value opportunities and apply AI/ML to enhance productivity, profitability, and decision-making.
You’ll explore the transformative potential of large language models (LLMs) and generative AI, including applications in content creation, customer engagement, and strategic decision support. The course also addresses the data, infrastructure, and organizational readiness required for successful AI integration and defines AI/ML roles, responsibilities, and necessary skills.
Through case studies, demonstrations, and exercises, participants will gain hands-on experience translating AI capabilities into actionable strategies. By the end of the workshop, you will understand the trends driving the AI revolution and have the frameworks and insights to implement AI confidently, effectively, and profitably in your organization.
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.