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 predicting healthcare spending and insurance fraud detection—and hear from guest speakers from Google, Salesforce, and Genentech. 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. Students can choose to attend this course on campus or online. Sign up for Section H if you think you might attend class on the Stanford campus at least once. There is no commitment—you can still choose to attend via Zoom for any session. Sign up for Section Z if you know you will exclusively attend via Zoom.​