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.

In this hands-on lab, you'll learn how to build a powerful business intelligence (BI) dashboard using Looker Studio and BigQuery. Discover how to upload and query data, create reports datasets, and run scheduled queries to uncover valuable insights from large service usage logs. With your dashboard, you'll gain the ability to identify trends, optimize operations, and make data-driven decisions to improve efficiency and service quality.

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!

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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 hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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!

Google Cloud’s Contact Center as a Service (CCaaS) solution has powerful capabilities to modernize and transform contact centers. Learn about the unique features, including co-browse for visual agent assistance and multimodal interactions for seamless customer journeys across channels like voice, chat, and email. The session will also cover integrated quality management (QM) and workforce management (WFM) tools for optimizing agent performance and scheduling, and a robust security architecture featuring VPC Service Controls.

Learn how Firebase App Hosting simplifies deploying and managing Next.js and Angular web apps on Google Cloud infrastructure. With seamless GitHub integration, global scalability, and built-in observability, App Hosting is designed for production-ready deployments. In this session, you’ll watch live demos and explore streamlined workflows to elevate your web app deployment process.

New AI workloads in the enterprise can create new and novel security exposures. In this session, you’ll learn directly from our Mandiant team about what they are seeing in this new AI-driven world. And we’ll share how Google Cloud AI protection capabilities can help protect your workloads against the most sophisticated threats. We’ll guide you through how you can protect your data, models, applications, and infrastructure throughout the AI life cycle.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

The explosive growth of artificial intelligence demands a paradigm shift in how we build and power its infrastructure. Join Urs Hölzle, Google Fellow, and Parthasarathy Ranganathan, VP, Engineering Fellow at Google Cloud, for a fireside chat exploring the critical intersection of intelligent infrastructure and sustainable energy.

They will delve into the challenges and opportunities of scaling AI, from the hardware powering massive models to the energy sources that fuel them. Discover how innovative approaches to infrastructure design and energy efficiency are shaping the future of AI, 25 years of cloud infrastructure design at Google, and what is coming for the next 25 years.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

Take control of your Google Cloud costs. This session provides lean IT teams with essential techniques to optimize cloud spend, maximize budget, and align with business goals.

In this hands-on lab, you’ll build a practical Gmail add-on powered by Gemini and Vertex AI that performs sentiment analysis on your emails. Learn how to integrate powerful Natural Language Processing capabilities to automatically classify emails as positive, neutral, or negative. This tool will help you prioritize customer service responses, flag potentially sensitive messages, and streamline your email workflow for improved productivity.

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!

Explore a future where AI agents from different platforms work together seamlessly. This session focuses on Salesforce and Google Cloud's partnership to develop a standardized approach for multi-agent communication and collaboration. Learn how agent interoperability between Salesforce Agentforce and Google Conversational Agents can handle complex customer interactions, ensuring smooth coordination. Join us to discover the latest advancements that enhance productivity and efficiency.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Master modern enterprise storage on Google Cloud. Optimize cloud-based file storage for diverse workloads with Filestore and Google Cloud NetApp Volumes, fully managed Network File System [NFS) and Server Message Block (SMB) solutions balancing performance, availability, and cost. Explore new features for modern workloads and discover how NetApp Volumes handles Windows and petabyte-scale enterprise demands. This session is a must for IT leaders seeking to future-proof their storage strategy. Learn from BlackLine’s success.

Learn about the latest developments in our integrated geospatial analytics capabilities from Google Maps Platform, Google Earth Engine, and BigQuery. Discover how our rich geospatial data, powerful cloud computing, and built-in AI tools make it easier for any professional to unlock insights, leading to faster, better decisions that drive business growth and sustainability. Find out how our customers are currently using geospatial analytics and Google Cloud infrastructure to improve their business and sustainability outcomes.

Join Kieren Jameson, Director of Google Cloud Learning Content, and Andrey Tapekha, Chief Technology Officer of Deutsche Bank North America, to explore the transformative power of creating a culture of continuous learning in the age of AI. This session delves into how building – and validating – skills can be a cornerstone for both individual career growth and organizational advancement. And it’s better for your return on investment (ROI) too: 73% of leaders and decision-makers report a revenue increase since engaging with Google’s learning services.

Discover how Nokia tackled the challenge of industrializing at scale and modernizing its infrastructure services with AI/GenAI. For decision-makers seeking bold AI adoption, this is a firsthand look at reshaping an organization with AI that delivers ROI. Learn how GenAI-infused runbooks enhance and optimize operations, increase business continuity, and unlock new revenue streams. This session outlines the journey, strategic choices, and a path that leads to breakthroughs that turn AI into real business impact.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Join us to explore the unique value exchange between Google Cloud and the independent software vendor (ISV) ecosystem, highlighting the programs, initiatives, and incentives that empower startups to scale faster and drive top-line growth. Featuring success stories from leading AI innovators, this session shows how startups can transform their go-to-market strategies by partnering with Google Cloud.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.