Generative AI is transforming how organizations develop strategy, manage risk, and drive enterprise-wide adoption. This course equips business leaders with the practical knowledge to identify AI opportunities, build implementation roadmaps, establish responsible AI governance, and create compelling business cases for successful AI initiatives.

You will begin by developing GenAI strategies and adoption plans using Miro AI and Notion AI. Next, you will explore responsible AI by applying governance principles, ethical guidelines, risk management practices, and regulatory frameworks while using Claude and an AI Policy Compliance Linter to support policy development and compliance. The course concludes by helping you build a strong business case for AI adoption, measure business value, gain leadership buy-in, and prepare for emerging AI trends. You will also examine real-world enterprise AI implementations through case studies featuring Shopify Sidekick, Shopify Magic, and Google DeepMind's AlphaFold. By the End of This Course, You Will Be Able To: - Identify high-value opportunities for enterprise Generative AI adoption. - Develop AI implementation strategies and organizational adoption roadmaps. - Apply responsible AI governance, ethics, and risk management principles. - Build persuasive business cases that demonstrate the value of AI investments. - Evaluate emerging AI technologies and their impact on business strategy. - Lead enterprise AI initiatives with confidence and responsible decision-making. Designed for business leaders, managers, consultants, transformation professionals, and decision-makers, this course provides a practical framework for developing AI strategies, governing AI responsibly, and leading successful enterprise AI adoption. Move from using artificial intelligence yourself to leading how your organization adopts it.