Welcome - 9:00 AM – 9:15 AM PST

Session 1: Designing AI Systems With and Without Agents

This session explores how to design AI systems from a practical, production-ready perspective. Instead of treating models or agents as black boxes, participants will learn how to break systems into clear building blocks, understand data flow, and evaluate when introducing agents adds real value versus unnecessary complexity. The session emphasizes architectural trade-offs, common failure modes, and system design reasoning relevant to real-world applications and technical interviews. (Google AI Studio & Python)

Break - 10:15 AM – 10:25 AM PST

Session 2: Agentic Orchestration: Designing Autonomous AI Frameworks

As AI transitions from static models to active participants, the challenge shifts from prompting to orchestration. This session provides a technical deep dive into the layers of agency, starting with the 6 levels of autonomy and the move from rigid, rule-based logic to dynamic AI agents. We will deconstruct the internal mechanics of an agent, including ReAct architectures, tool-calling, and memory mechanisms, before exploring how to orchestrate these components into sophisticated multi-agent systems capable of complex, collaborative problem-solving.

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Wrap up & Network. - Optional