This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

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!

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.

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.

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.

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.

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.

Data silos are costing you time and money. Discover how Google Workspace, combined with Google Agentspace, can serve as your central hub for work with a single, searchable source of truth for business data. We’ll demonstrate how to eliminate data silos and speed up AI adoption while integrating relevant information into employees’ daily Workspace experience. This session is ideal for IT leaders and developers seeking to maximize the value of their data.