In this module, you will learn how to bridge the gap between successful AI pilots and scalable, enterprise-grade systems. You’ll identify the three engineering gaps—architecture, governance, and data intelligence—that silently multiply cost and risk as systems grow. More importantly, you’ll learn concrete Agentic Engineering patterns that fix these gaps by enabling systems to learn, adapt, and govern themselves through evidence.

You will also learn how to operate an organization that learns while it works. By the end of the module, you’ll be able to redesign decision flows, replace escalation with evidence, and structure teams as intelligence units rather than silos. This equips you to move from running AI projects to running an AI-native operating system.