Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

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.

Syllabus

GenAI Strategy: Finding the Right Opportunities

Discover how to identify high-impact opportunities for Generative AI and develop strategies that align with business goals. Learn to evaluate business challenges, build AI adoption roadmaps, and create leadership recommendations using Miro AI and Notion AI. Gain practical experience through real-world case studies, demonstrations, and strategic planning activities.

Responsible AI: Governance, Ethics & Risk

Master the principles of responsible AI by exploring governance, ethics, risk management, and regulatory frameworks for enterprise AI adoption. Learn to develop ethical AI guidelines with Claude, evaluate policies using an AI Policy Compliance Linter, and implement effective oversight and accountability practices. Strengthen decision-making through practical demonstrations, case studies, and real-world governance scenarios.

Applied AI: Automation, Agents, and Analytics

Transform AI ideas into business value by building compelling business cases, measuring ROI, and securing leadership support for enterprise AI initiatives. Explore emerging AI trends, intelligent agents, multimodal AI, and the future of work while analyzing real-world case studies. Apply these concepts through practical demonstrations, strategic presentations, and a board-level AI adoption role-play.