What you'll learn

Agentic AI systems can create real value, but they become fragile when teams treat them as one-time prompt or model deployments. In this course, Agentic AI Lifecycle Management, you'll gain the ability to build lifecycle discipline into an agent's design, release, operation, evolution, and retirement. First, you'll map the lifecycle of an AI agent and identify the decisions you need to make before deployment. Next, you'll use a versioned manifest to document agent capabilities and dependencies, which supports safe change tracking and team handoffs. Finally, you'll plan review cycles, respond to behavior changes, and retire or replace agents through a clear transition strategy. When you're finished with this course, you'll have the skills and knowledge of agentic AI lifecycle management needed to keep an AI agent ecosystem reliable as its models, tools, knowledge, memory, and workflows evolve.