Generative AI has revolutionized the business landscape, but many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations. Discover how companies are partnering with Google Cloud Consulting to better quantify the business value, understand the total cost of ownership (TCO) of gen AI use cases, and prioritize their AI investments – key lessons that can we learn from the companies leading the AI transformation.

Join leaders from Anthropic and Google Cloud for a fireside chat to explore the essential elements for enterprise AI success in production. We’ll explore real-world production use cases that are utilizing the powerful combination of Anthropic’s Claude models on Vertex AI for fast development and scalable deployments. And we’ll cover topics such as platform flexibility, enterprise readiness, governance, and agentic workflows. Leave with actionable insights to guide your AI strategy and navigate the changing world of intelligent agents.

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

This Session is hosted by a Google Cloud Next Sponsor.
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Join us for an insightful discussion with executives from leading companies, as they share their strategies for scaling Gen AI. Discover how these industry leaders are revolutionizing business processes, enhancing customer experiences, and driving innovation. Gain practical insights into Gen AI applications, scaling challenges, and solutions that have led to significant efficiency gains and competitive advantages. Explore future trends in Gen AI, including advancements in machine learning, data integration, and ethical considerations. Don't miss this opportunity to stay ahead and unlock new opportunities for your business.

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.

Speed and flexibility are key benefits of cloud-based application development and deployment. However, unmanaged costs can stifle innovation. This solution talk offers a strategic roadmap to implement FinOps principles throughout your Google Cloud infrastructure and application development lifecycle.

Collaborate with us to explore cost optimization techniques that maintain high performance levels across compute, storage, networking, and database resources. Instill a culture of cost awareness within your app teams to unlock full potential and maximize your ROI.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

Ready to take your Day 2 operations to the next level? This session is your one-stop shop for mastering Day 2 ops in 2025. We’ll cover everything you need to know, such as leveraging observability and AI agents for DevOps use cases, building application-centric observability, and optimizing for cost and utilization on Google Cloud. This roundup session explores a variety of products and updates in the Day 2 space, giving you the tools and knowledge to supercharge your operational efficiency and drive innovation.

Drive the next wave of AI innovation with Google Cloud databases. This Spotlight session explores cutting-edge innovations that enable you to modernize your database estate to quickly build gen AI apps, unify transactional and analytical workloads for real-time insights, and simplify database management with assistive AI. Join us to witness the future of Google Cloud databases, exclusive product announcements, insightful demos, and inspiring customer stories.

The world of data security and privacy is changing. Quantum computing threatens traditional encryption, but you can stay ahead. Learn how to protect your AI and machine learning (ML) models and your sensitive data with cutting-edge techniques and tools like Gemini. This session covers end-to-end privacy, confidential computing with Google Cloud, navigating the post-quantum cryptography (PQC) landscape, the challenges and opportunities of PQC, and how Google Cloud is preparing you for the future.

This hands-on lab equips you with the essential skills to manage and automate your infrastructure using Terraform. Learn to define and provision infrastructure resources across various providers using HashiCorp Configuration Language (HCL). Explore core concepts like resource dependencies and understand how to safely build, change, and destroy infrastructure using Terraform's declarative approach. This hands-on experience will empower you to streamline deployments, enhance consistency, and improve overall infrastructure management efficiency.

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!

Calling all Python developers using Google Cloud! Share your experiences, projects, and insights leveraging Python on Google Cloud. Whether you're exploring official libraries, automating tasks, or building innovative solutions, this meetup is for you. Let's discuss what's working well, challenges you've faced, and how Python + Google Cloud could be even better. Connect with fellow developers, get inspired, and help shape the future of Python on Google Cloud!

Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.

Launching LLM-powered products is transformative but requires strategic execution. This session shares lessons from embedding AI solutions (built with Gemini on Google Cloud) into real use cases. Learn how we avoided pitfalls, tackled automation myths, and delivered real value. Gain insights on identifying high-impact AI opportunities, validating solutions, and iterating for successful product launches.

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 hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

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 how AI agents and assistants are transforming Software Logistics, bringing intelligence to cloud application delivery. This session demonstrates practical applications of AI in deployment automation, configuration management, and runtime optimization. Discover how Platform Engineers leverage AI to create more efficient delivery systems. Learn design strategies from automated security scanning to intelligent deployment decisions, and how to integrate these capabilities into your existing platform engineering practices.

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.

Bad actors are sneaky, slippery, and getting smarter all the time. However, businesses now have a powerful new defense. Advances in AI offer opportunities to arm developers with information and tools to help mitigate risks. Join us as we share perspectives on design, considerations, and challenges when deploying AI to enhance security and improve efficiencies for developers.

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.

Generative AI is revolutionizing app development, demanding a robust network architecture capable of supporting distributed, cross-cloud deployments. This session dives into the essential networking strategies for building and deploying these next-generation applications. Discover new technologies to establish secure, reliable, and high-performance connectivity spanning Google Cloud, multicloud, and hybrid networks. Explore how to seamlessly integrate service-centric architectures to accelerate developer velocity without compromising security.

Generative AI enables you to build amazing new apps, but you may also have concerns. Will it be too complex or too expensive, or will it create security risks? Fortunately, building good gen AI apps has become much easier in the past year, in large part due to updated capabilities within databases. We’ll learn how Google Cloud databases handle key AI technologies like vector search, retrieval-augmented generation (RAG), and orchestration, helping you bridge the gap between general-purpose AI models and your business-specific data. We’ll dive into some fun application examples to see how they were built and how you can use the same techniques in your apps.

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Learn how to run high-throughput and low-latency inference on Google Cloud to maximize price-performance on TPUs and GPUs, leveraging JetStream and vLLM.