Lead enterprise AI transformation through effective AI change management and AI Center of Excellence (CoE) strategies. Learn to scale responsible AI adoption while aligning organizational structures, governance, and workforce capabilities.

Designed for transformation managers, business leaders, HR professionals, and AI program stakeholders, this course explores AI-driven organizational redesign, decentralized decision-making, agile transformation, and performance measurement. You'll examine how AI Centers of Excellence, shared architecture, MLOps automation, and cross-functional collaboration support enterprise AI scaling. Explore ethical AI governance, explainability, bias assessments, and human oversight to guide responsible implementation. Learn to address employee resistance, design adoption incentives, establish feedback loops, and align workforce reskilling with organizational goals. By the end of this course, you'll be able to evaluate AI governance controls, design cross-department scaling approaches, and develop AI change plans that support employee readiness and business value. What makes this course distinctive is its integrated focus on organizational transformation, responsible AI governance, scalable AI operations, and workforce change management.