Agentic AI represents the most significant shift in enterprise automation since the advent of cloud computing. Unlike traditional rule-based systems, agentic AI systems reason about their environment, decompose complex goals into subtasks, select appropriate tools, act autonomously across systems, and continuously learn from outcomes. This publication provides a comprehensive reference for IT learners seeking to understand the evaluation, deployment, and governance of agentic AI systems.