This course offers an in-depth exploration of Agentic AI, focusing on the design and implementation of autonomous systems. Students will master essential concepts such as agentic workflows, multi-agent collaboration, and reasoning frameworks like ReAct. The curriculum emphasizes practical development, covering technical skills in tool integration, memory management, and context engineering. Beyond architecture, the course addresses operational challenges in LLMOps and AgentOps, preparing students to build, evaluate, and scale robust AI solutions.