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Learn how generative AI and Firebase products can help shoppers find exactly what they are looking for in store – like at their local grocer. Genkit generates recipes and Data Connect helps locate items on shelves, all hosted on Firebase App Hosting.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.

Use agentic AI to unify diverse data sources – including Firestore, web searches, and API services – to create individualized experiences for each customer and help them purchase your products.

Build smart context systems with retrieval-augmented generation (RAG) pipelines, vector embeddings, or built-in search capabilities.

Build & deploy with Google Cloud Deploy! This hands-on lab equips you to create delivery pipelines, deploy container images to Artifact Registry, and promote applications across GKE environments.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Build an open, secure, and integrated AI data platform. Manage the end-to-end data life cycle with built-in governance.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

This session provides strategies for maximizing business value with generative AI. We cut through the hype and offer actionable insights for building and deploying advanced gen AI business capabilities. We'll delve into strategies that our customers use to get the most out of their AI investment, explore the essential foundations for scaling up, and share a vision for the future of business operations transformed by agentic AI.

Bring generative AI capabilities to your local environment with Google Distributed Cloud. Maintain data residency without compromising on latency.

Continuously deploy Angular and Next.js web apps to Google Cloud from a connected GitHub repository on each commit. Firebase App Hosting detects your framework, builds your app in Cloud Build, and deploys to Cloud Run behind Cloud CDN.

From idea to app in minutes. Call our app-building AI agent, which will help you build a functional app over a short call, powered by Customer Engagement Suite with Google AI.

The rise of AI-powered code generation tools presents a compelling alternative to traditional UI prototyping frameworks. This talk explores the question: Is it time to ditch the framework overhead and embrace core web technologies (such as HTML, CSS, JavaScript) for faster, more flexible prototyping? We’ll examine the trade-offs between structured frameworks and the granular control offered by a “bare metal” approach, augmented by AI assistance. Learn when leveraging AI with core tech becomes the smarter choice, enabling rapid iteration and bespoke UI designs, and when frameworks still reign supreme.

Transform vehicle operational data into actionable intelligence. Reduce maintenance downtime, optimize fleet operations, and make data-driven decisions through interactive diagnostics using Gemini models and BigQuery.

Improve search and rescue readiness, even offline. Learn secure equipment maintenance practices for emergency operations.

Is your business ready to embrace the software as a service (SaaS) revolution? Discover how Google Cloud can fast-track your SaaS journey. This session reveals how Google Cloud empowers you to scale your SaaS offerings, reduce time to market, and deliver exceptional customer experiences using a comprehensive toolbox with per-tenant controls, feature rollout management, and insightful monitoring. You’ll also learn from Avathon’s success story: how they leveraged these capabilities to conquer the complexities of SaaS management, automate tenant onboarding, and centralize operations.

A reference implementation for analyzing geospatial data with generative AI. Combine Google’s unique ML models with your own data and Gemini’s reasoning capabilities to unlock powerful insights for crisis response, public health, climate resilience, and more.

This technical deep dive explores how small IT teams can leverage Google Kubernetes Engine (GKE) and AI Hypercomputer to build, refine, and optimize a cutting-edge, scalable, and secure container platform for AI workloads.