As AI moves from reactive chatbots to autonomous agents capable of decision-making and tool usage, Agentic AI is emerging as a critical paradigm for building intelligent systems. This talk offers a deep dive into the architecture, design patterns, and implementation best practices for creating scalable and secure Agentic AI systems.

We’ll explore how to decompose complex business problems into modular, goal-driven agents using frameworks like Google’s Agent Development Kit (ADK). Through real-world use cases, you’ll learn how to orchestrate multi-agent workflows, manage agent memory and grounding, integrate external tools, and ensure alignment with enterprise standards around reliability, compliance, and observability.

Whether you're building your first AI agent or scaling an enterprise-grade agentic system, this session equips you with the strategies, frameworks, and pitfalls to avoid—ensuring your AI agents are not only autonomous but accountable and aligned with business goals.