Agentic AI Design Patterns: Reusable Blueprints for Smarter Systems

This course introduces Agentic AI Design Patterns Ereusable templates that guide how intelligent agents perceive, reason, act, and adapt. These patterns offer a structured approach to designing agent behaviors such as reflection, tool use, and collaboration, enabling explainable agentic systems. The course covers the anatomy of a pattern Etriggers, flows, roles, and feedback Eand explores key strategies like ReAct, reflex vs. deliberative agents, and reasoning through chain-of-thought and tree-of-thought. You’ll learn multi-agent collaboration roles, dynamic task routing, and feedback-driven adaptation. Finally, you’ll explore reflective patterns where agents revise their own reasoning to improve output. By the end, you’ll be equipped to apply these patterns across frameworks and domains for advanced, adaptive, and collaborative agentic AI design.