Introduction The evolution of Artificial Intelligence (AI) has witnessed remarkable advancements, from simple rule-based systems to deep learning models that power today's intelligent applications. However, a new paradigm is emerging that promises to redefine how AI systems interact with their environments: Agentic AI. This concept introduces AI models capable of autonomy, decision-making, and goal-driven behavior, pushing the boundaries of what machines can achieve independently. What is Agentic AI? Agentic AI refers to artificial intelligence systems designed to operate autonomously by setting objectives, making decisions, and executing tasks without direct human intervention. Unlike traditional AI, which requires predefined inputs and outputs, agentic AI can: Set and pursue goals based on high-level instructions. Adapt to dynamic environments by learning and evolving from interactions. Self-correct and optimize through feedback loops and reinforcement learning. Coordinate w...