Define AI as narrow, data-trained pattern-finding systems that perceive, reason, learn, generate, or act
Identify everyday AI touchpoints across discovery, language, trust and safety, and operations
Explain the core building blocks of data, model, training, and inference
Outline a typical AI workflow from job definition through deployment, monitoring, and feedback
Compare major approaches including rules, classical ML, deep learning, and generative AI
Assess AI strengths, limits, and practical pitfalls to choose safe human-assisted uses
Who this course is for
Professionals, managers, and curious learners seeking a non-technical primer on what AI is, where it appears, and how to use it wisely; no prior AI or coding experience required.
