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Starts 3 June 2026 23:08
Ends 3 June 2026
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Beginner
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Paid Course
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Overview
In this Specialization, you’ll build a practical foundation for using AI in executive decision-making without getting lost in technical jargon. You’ll begin by learning how AI technologies—including machine learning, deep learning, and generative AI—work and how organizations apply them to improve business operations and decision-making.
The program then introduces responsible AI practices, helping learners identify bias, improve transparency and explainability, and evaluate AI initiatives using governance and risk frameworks such as the NIST AI RMF. Building on this foundation, learners will apply AI to leadership decisions through forecasting, strategic planning, risk assessment, and business case analysis while learning to communicate AI-driven insights effectively.
Finally, the Specialization explores how leaders can build AI-ready organizations by aligning people, processes, and technology, developing high-value AI use cases, leading AI-augmented teams, and establishing governance approaches that support ethical, compliant, and effective AI adoption.
Syllabus
- Course 1: Introduction to Artificial Intelligence
- Course 2: Responsible AI: Transparency & Ethics
- Course 3: AI-Augmented Decision-Making for Business Leaders
- Course 4: Managing Hybrid & AI-Augmented Teams: The Future of Work
- Course 5: Build and Execute an Organisational AI Strategy
Taught by
Brian Newman, Eric Zackrison, Fatima Bdair, Robert J. Brunner, Starweaver and Veronica Moran
Subjects
Artificial Intelligence
