In this course, learners will develop the strategic, ethical, and technical perspectives needed to lead effectively in an AI-driven world. Learners will explore responsible AI leadership, human-centered leadership principles, and the strategic and cultural shifts required to adopt and scale AI across organisations. Drawing on MIT Sloan Management Review insights, they will examine how AI impacts workforce dynamics, employee engagement, marketing, finance, and innovation, and learn how to identify the right AI problems to solve, ensure business and technical readiness, and achieve measurable ROI from AI initiatives. Learners will then apply AI change management frameworks to lead teams through transformation, leverage AI in decision-making, and embed ethical AI practices into strategic planning. For technology leaders, the course goes deeper into AI and machine learning fundamentals, emerging data trends including data fabric, data observability, and AI TRiSM, and the development of a robust AI and ML data strategy covering governance, ethics, data bias, and building an AI-powered workforce.