Build a solid foundation in AI to lead and innovate with confidence.
This course provides a practical, non-technical introduction to artificial intelligence and machine learning. You’ll learn essential concepts, frameworks like R.O.A.D. (Requirements, Operationalize Data, Analytic Method, Deployment), and tradeoffs in algorithm selection and data quality. Along the way, you’ll explore performance metrics, annotation practices, and how to align AI projects with organizational goals. Designed for professionals, leaders, and decision-makers, this course empowers you to understand AI’s capabilities and limitations—and to apply it strategically in your work.
