Upcoming Training Schedule

In this session, we will provide an "Agent Starter Pack" of reference architectures, battle-tested orchestration patterns, and proven deployment strategies for you to start your development.

This session dives deep into using callbacks as essential execution hooks, granting you fine-grained control over agent behavior.

In this session, we will dive deep into architecting and developing a sophisticated Conversational Analytic Agent with ADK. You will also learn how to integrate the analytics to custom user interface.

In this session, we will deep dive into MLOps best practices for robust model evaluation and monitoring on Google Cloud's Vertex AI.

In this session, we will dive into the technical architecture for building agents powered by GenMedia models (e.g., Imagen for images, Veo for video).

Learn the secrets for deploying and managing custom ADK agents. We dive deep into agent development and configuration, and leveraging Vertex AI tools to reliably productionize your agents on Google Cloud.

In this session, we will harness the power of the Gemini CLI—your AI-powered terminal agent—to rapidly prototype and deploy sophisticated Agent Development Kit (ADK) Agents

In this session, we will dive deep into Google Cloud's "agentic shift," exploring how specialized, Gemini-powered Data Agents are fundamentally transforming data engineering, data science, and analytics workflows.

Dive deep into the architectural blueprints for building robust and scalable multi-agent systems with the ADK. This session focues on the core design patterns for true agentic collaboration.