Google AI Deep Dive (Ep 2)
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The Google AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.
You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.
Tech Talk: Wrangling unstructured data with LLM-driven vector embedding
Speaker: Annie Wang (Google)
Abstract: ADK 2.0, Google's Agent Development Kit, fixes this with three orchestration patterns: graph workflows, collaborative agents, and dynamic workflows. In this hands-on webinar, you'll watch all three run live inside a single app, then build them yourself, step by step, in a Colab lab. We'll cover when each pattern fits, how ADK 2.0 turns hidden control flow into visible, testable structure, and the one question that tells you which pattern to reach for. You'll leave with working code and a decision tree you can apply to your own agents the next day.
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