This session provides an in-depth look at the Google infrastructure that powers our most demanding AI workloads. We’ll explore the journey from custom silicon, high-bandwidth networking and storage to the software frameworks that enable efficient, large-scale training and inference with industry-leading goodput and uptime across the largest GPUs and TPU clusters. Learn how Google’s unique approach to system design and deployment enables customers to effortlessly achieve Google-level performance and scale for their own applications.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

This session demonstrates how to integrate Gemini Code Assist into your development workflow to boost productivity and code quality. Learn specific techniques for using Gemini Code Assist and actionable strategies to incorporate it into your daily practice.

Traditional infrastructure-centric monitoring provides a limited view of your applications. This session explores the benefits of shifting to an application-centric approach, enabling you to proactively identify performance bottlenecks, optimize resource utilization, and reduce costs. Learn how Google Cloud’s out-of-band (OOB) application-centric observability tools like App Hub, distributed tracing, application-specific signals such as logs and metrics, and service level objective (SLO) monitoring, can help you achieve optimal performance and cost efficiency for your cloud-first applications.

eBPF has revolutionized Kubernetes networking. Cilium, the leading eBPF-based container networking interface (CNI), is now emerging as a standard on major cloud providers like Google Kubernetes Engine (GKE). It provides superior scalability, security, and observability compared to traditional CNIs. eBPF also powers Hubble for network & security insights and Tetragon for runtime security enforcement. Find out how to leverage these tools to get the most out of your GKE cluster.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

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This session showcases how Gemini Code Assist revolutionizes end-to-end Java application development. Join us to learn how to accelerate each development stage – from backend to frontend and testing. Discover how to leverage Gemini code generation, completion, and debugging features. Explore how to enhance productivity and build robust, high-quality applications faster. And take away practical methods and techniques for integrating Gemini Code Assist into your workflow.

Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

Cloud Run is an ideal platform for hosting AI applications – for example, you can use Cloud Run with AI frameworks like LangChain or Firebase Genkit to orchestrate calls to AI models on Vertex AI, vector databases, and other APIs. In this session, we’ll dive deep into building AI agents on Cloud Run to solve complex tasks and explore several techniques, including tool calling, multi-agent systems, memory state management, and code execution. We’ll showcase interactive examples using popular frameworks.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

Harness the power of AI agents with rich conversational experiences. This session will cover the practical applications of AI agents and how your teams can use them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your business workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents.

Supercharge your applications and drive revenue growth with Looker Embedded. This session reveals how to seamlessly integrate powerful data experiences and AI-driven insights directly into your products. Discover how to increase customer engagement, unlock new revenue streams, and gain a competitive advantage. Learn how to reduce development time and costs by leveraging the robust Looker platform. Join us to learn how Looker can help you transform your applications and deliver actionable intelligence to your customers.

You name it, we’ll build it. If a demo feels too polished without enough opportunities for things to go wrong, then let’s throw out the script and do it live. We’ll pick a JavaScript framework and a database, and then build a full-stack application from scratch. If you’re a full-stack application developer or a frontend or backend developer wondering how everything ties together in a modern application, this will be an exciting ride worth joining – no Google Cloud experience required.

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.

Flutter powers beautiful apps featuring custom designs, high performance, and access to the latest iOS APIs and features, while Firebase SDKs for Flutter make it easy to add backend functionality. Join this session to learn how to use these technologies together to build full-stack apps for iOS and then share that code across Android, web, desktop, and more.

Join GXO's SVP of Data/AI/ML, Ramin Rastin, and Senior Director of Data, Americo, as they share their remarkable journey of implementing Generative AI and Vertex AI within their organization. Discover how GXO leveraged Google Cloud's cutting-edge technology to achieve significant scalability and efficiency gains, enhance business operations, and improve user experience. In this session, you'll learn how GXO: Scaled rapidly: Deployed 15-20 AI-powered assistants within the first six months of 2025, each reducing workloads by 40-60%. Enhanced flexibility: Developed a Generic Chat Assistant mid-project to adapt to evolving business needs. Improved accessibility: Created an intuitive user interface for all users, regardless of technical expertise. Centralized control: Implemented an Admin Page with role-based access control for enhanced security and governance.

AI applications that use the retrieval augmented generation (RAG) architecture can be a lot more accurate than those built with just the AI model’s built-in knowledge. But RAG introduces additional processing steps which need to be monitored. We’ll show you how.

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!

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Scale your AI training and achieve peak performance with AI Hypercomputer. Gain actionable insights into optimizing your AI workloads for maximum goodput. Learn how to leverage our robust infrastructure for diverse models, including dense, Mixture of Experts, and diffusion. Discover how to customize your workflows with custom kernels and developer tools, facilitating seamless interactive development. You'll learn firsthand how Pathways, developed by Google Deepmind, enables large scale training resiliency, flexibility to express architecture.

Join us to discuss serverless computing and event-driven architectures with Cloud Run functions. Learn a quick and secure way to connect services and build event-driven architectures with multiple trigger types (HTTP, Pub/Sub, and Eventarc). And get introduced to Eventarc Advanced, centralized access control to your events with support for cross-project delivery.

Join this session to discover how a phone plan selection app, built with Flutter and Firebase, leverages Gemini 2.0 to enhance and simplify the customer experience. Gain insights into the technical architecture, identify actionable strategies to implement similar AI-driven solutions in your own apps, and understand the key principles of using AI to enhance the customer experience.

Organizations are racing to deploy generative AI solutions built on large language models (LLMs), but struggle with management, security, and scalability. Apigee is here to help. Join us to discover how the latest Apigee updates enable you to manage and scale gen AI at the enterprise level. Learn from Google’s own experience and our work with leading customers to address the challenges of productionizing gen AI.