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Since its inception in 1950s, Artificial Intelligence (AI) has been shaped by the rise and fall of various competing ideas and techniques emerging from a myriad of disciplines, including computer science, economics, ethics, linguistics, mathematics, operations research, philosophy, psychology, and statistics. Since 2012, deep learning has taken center stage in AI and expanded the landscape of AI to include applications spanning virtually all industries and sectors. This course introduces key concepts of AI, including its mathematical, computational, and economic foundations, and how to manage and lead businesses in the age of AI. Students will learn how to develop concrete AI applications that transform structured and unstructured data to tools with potential of generating business and human value. Students will develop a concrete understanding of AI strategy in a variety of scenarios, including health, operations and supply chain management, marketing, and marketplace design. Students will also develop AI leadership skills that synthesize human and non-human intelligence, with limitation of AI in mind, including, for example, how AI can amplify or mitigate human biases.