Modernize & Scale: Why and How to Migra...
The AI era is here, and it requires infrastructure built for hyper-scale, dynamic demands, and specialized hardware (like GPUs). Legacy systems simply can't keep up, leading to high costs and stifled innovation. You need a platform that doesn't just manage scale, but accelerates your AI strategy. Join our webinar to get the definitive strategy for migrating your core workloads to Google Kubernetes Engine (GKE). We'll provide a clear framework,...
Securing the Chain of Trust: A Hands-On...
Roll up your sleeves and construct a layered security strategy for multi-agent applications on Google Cloud Run. This session (and it's associated lab) will show you how to build and configure least-privilege permissions so your agents only talk to what they're supposed to with IAM service accounts. You'll deploy an MCP server to a private Cloud Run instance that only allows authenticated access from the agent and implement input validation to...
Serverless Machine Learning: Training C...
Discover how BigQuery ML democratizes machine learning by letting you build models where your data lives. This webinar dives into a serverless approach that eliminates infrastructure management, allowing you to focus on results. You'll learn how to perform model training using standard SQL—removing the need for complex data movement or separate ML pipelines. We will demonstrate real-world use cases for predictive analytics, including cus...
Cloud Roadmap Series: AI Innovation
Join Google Cloud product leaders for the latest Cloud AI roadmap update. Get a 20-minute, fast-paced briefing on our product strategy and recent advancements, product updates, and ongoing areas of investment. Choose from two distinct briefings tailored to your specific role or attend both for the full picture.
Architecting AI: Building and Orchestra...
A hands-on workshop Unlock the full potential of Agent Development Kit (ADK) in this immersive hands-on session. We begin with the core primitives: engineering robust agents capable of tool use and structured output, tested across CLI and Browser environments. We’ll then pivot to advanced system design, focusing on the Agent-to-Agent (A2A) protocol. Part 1: Hands-on with Agent Development Kit (70 min)Build custom AI agents using Python a...
The Total Economic Impact of the Data L...
The data lakehouse architecture, powered by Apache Iceberg, is emerging as the essential foundation enterprises need to unify data for the age of agentic AI and advanced analytics. This unified approach resolves challenges like data silos and complexity, enabling significant productivity gains for data teams and unlocking new revenue from AI-driven insights, as demonstrated by a recently commissioned Total Economic Impact™ study conducte...
Building With Advanced Agent Capabilities
Ready to transform your startup? This hands-on technical deep dive equips you with the skills to build truly intelligent, autonomous AI agents using Claude on Vertex AI. Through live demos, we’ll explore the critical capabilities that differentiate mere bots from sophisticated, production-ready systems: implementing multi-layered memory architectures, designing sophisticated multi-step reasoning with extended thinking and planning patter...
Effortless AI Inference: Deploying and...
The challenge for every IT leader is simple: Your AI projects are ready to scale, but your infrastructure isn't. High-performance inference demands agility, fault tolerance, and cost efficiency—all while keeping data governance tight. Piecing together a homegrown solution is slow, resource-intensive, and introduces unnecessary risk. This webinar will walk you through the Google Kubernetes Engine (GKE) Reference Architecture —a stan...
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