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!

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

Generative AI is revolutionizing mainframe modernization, enabling organizations like the Air Force to achieve unprecedented speed and efficiency. Google's Mainframe Modernization tool leverages AI to analyze legacy code, identify modernization pathways, and accelerate the transition to modern architectures. This allows the Air Force to reduce costs, improve security, and maintain a competitive edge. Join this session to learn how Gen AI can help future-proof your own organization.

Simplify database management with Database Center. This generative AI-powered solution provides a centralized view of your entire database fleet, helping you monitor availability, security, compliance, and data protection. In this session, you’ll learn how to easily detect performance issues, visualize granular metrics, and get AI-powered recommendations for optimization. You’ll also discover how customers are streamlining their database operations and boosting efficiency with Database Center.

This session showcases an end-to-end generative AI application on Google Cloud. We’ll demonstrate how to use Gemini 2.0 Flash to analyze user-uploaded images, extract features, and generate descriptions stored in AlloyDB. Then we’ll show you how to fine-tune Gemini 2.0 Flash with BigQuery and generate outfit recommendations with AlloyDB low-latency querying. Finally, we’ll use the output from Gemini 2.0 Flash and Imagen 3 to create visuals of the outfits and deploy the entire solution on Cloud Run.

In this session, we'll explore best practices for developing next-gen Agentic apps powered by Gen AI for consumer goods brand innovation teams. Learn about the technical architecture, essential frameworks, and tools for scalable solutions. Discover strategies for intuitive user interactions and review real-world case studies. Join us to gain valuable insights and practical strategies for creating innovative and impactful Agentic apps.

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.

McKinsey estimates that AI could add over $4 trillion of value annually, yet only 1 percent of companies consider themselves AI-mature despite widespread investment. Join us to learn where the highest-value opportunities for agentic AI are and how to overcome barriers to scale. Hear how McKinsey is innovating with industry leaders to build agentic AI-enabled solutions that drive sustainable growth, operational excellence, and productivity.

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.

Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

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!

Driven by tectonic shifts and rapid innovation, the era we’re in has been dubbed by many as “the great SIEM migration” because organizations are reevaluating their legacy SIEMs and moving to modern SecOps platforms. In this expert panel, organizations will share insights and best practices from their own SIEM migration journeys.

Expand business value and boost employee productivity with generative AI. This session reveals how Gemini's advanced reasoning, Google-quality search, and your enterprise data can combine to streamline workflows and provide answers to complex queries. Through customer and partner use cases, you'll discover the Agentspace value proposition and best practices for building a successful generative AI practice on Google Cloud.

The rise of AI agents is poised to disrupt every industry, transforming the way we work and conduct business. This session will explore the transformative power of agentic workflows and provide a glimpse into what an agentic future might entail across industries. We'll discuss the strategic implications of this emerging technology and equip business leaders with the knowledge and insights needed to navigate the agentic frontier and capitalize on the opportunities it presents.

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.

Security Command Center is the must-have risk management solution for Google Cloud. In this session, you’ll learn how to use Security Command Center to proactively manage threats, posture, data, and identities, and how to respond to security events to protect your entire cloud footprint.

Worried about learning how to access the latest AI models? Explore the expanding Model Garden ecosystem, including new first-party models, open-source contributions, and third-party offerings from partners like Anthropic, Meta, Mistral AI, and the Allen Institute. Learn how you can find and deploy the perfect models for your projects as easy as 1, 2, 3.

The convergence of high performance computing (HPC) and generative AI is revolutionizing research. By analyzing vast datasets and generating novel hypotheses, researchers can accelerate innovation and breakthroughs. This session explores the exciting possibilities of gen AI in research, from climate modeling to drug discovery and beyond.

Join us as we reveal how the AURA AI Suite—AURA-SECURE, AURA-FLEX, and AURA-OMNI—is transforming enterprise AI. Experience bespoke conversational solutions for both structured and unstructured data. Discover how private GPT models secure sensitive information and dynamic insights boost productivity, decision-making, and customer engagement. Plus, see how Google Cloud services like Vertex AI, BigQuery, and Kubernetes ensure seamless integration, accelerated performance, and robust security.

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.

AI is reshaping software engineering. Learn how Google’s engineering team prioritizes transformative AI investments for both immediate and long-term value.

Join us for a deep dive into the latest advancements in Gemini Code Assist. This session will unveil exciting new features designed to boost productivity, enhance software quality, and streamline modernization efforts.

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.

According to IDC, 67% of AI technology spend in 2025 will be enterprises embedding AI capabilities into core business operations. Learn how AI-enabled customer engagements, from search to customer care operations and insights, are helping organizations improve customer experience and employee productivity while lowering costs. In this session, we’ll discuss specific use cases and the business results customers have achieved.

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.

Legacy productivity solutions are not designed to enable real-time, AI-assisted teamwork and reduce security and reliability risks. Join us to discover how a secure enterprise browser, a cloud-first OS, and cloud-first productivity apps can not only make your teams more collaborative and effective but also reduce the IT workload, software costs, and security risks. You’ll learn about Google’s approach, explore customer success stories, and discuss strategies to help your organization begin the journey.

Decode the future of startup funding. Join top VC leaders for a dynamic discussion on key trends, emerging technologies, and winning investment strategies shaping the next year. Whether you’re seeking funding or planning your next move, this is a must-attend session to gain crucial insights to navigate the evolving startup landscape.

The Gemma family is growing. Discover the latest additions to this powerful collection of open models. This session explores new Gemma models, highlighting advancements in performance and capabilities for diverse AI applications. Learn about the expanding Gemma ecosystem, including tools, community resources, and model evaluation techniques to find the perfect fit for your project.

In this session, Andrew Sun, Director of Business Development for Retail Software and Cloud at NVIDIA will discuss the impact of GenAI on the retail market and its specific benefits its bringing to the clothing/sporting goods companies like Puma. In this session, we will also showcase some of the unique GenAI experiences Puma has built while leveraging GPUs on Google Cloud’s platform.

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.

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.

Ten years ago, Google Kubernetes Engine (GKE) was born! Since then, it has become the industry-leading managed Kubernetes platform, powering mission-critical workloads across all industries. But the innovations have just begun. Join this session to learn about the latest GKE features and upcoming innovations – such as next-generation autoscaling, lightning-fast node startup, and multi-cluster fleet management – that make GKE the best Kubernetes platform for the next generation of AI and modern workloads.