Enable developers and architects to design and build reliable Agentic AI systems using open source technologies, by understanding how an LLM evolves into an autonomous system through planning, tool use, memory, context management, execution, and feedback loops. Attendees will leave with a practical architectural blueprint for building agents that can reason, act, recover from failures, and operate beyond simple prompt and response workflows.