This video covers the core concepts of agentic AI, explaining how AI agents combine large language models, memory, and tool use to perform complex tasks and make informed decisions. It introduces Agentic RAG, an advanced technique that enhances information retrieval with tool calling and long-term memory. The video explores key design patterns like tool use and multi-agent collaboration, and explains how agents operate across time and context. Real-world applications, such as planning trips or analyzing emails, show their practical value. It also covers how agents learn through reflection, provide user control, and are built using frameworks like Azure AI Agent Service and Autogen.