Ready to launch your generative AI app? This session equips you with the essential skills to deploy and scale AI applications on Google Cloud. Learn practical strategies for building robust infrastructure, automating deployments, optimizing performance, and managing costs. With live demos and expert insights, you’ll walk away with actionable techniques to take your AI app to the next level.

**Please bring your laptop to get the most out of this hands-on session**

AI agents rely on accessible data. ServiceNow's Workflow Data Fabric, an integrated layer unifying business & technology data, powers workflows & AI agents with real-time, secure access to data from any source, including Google Cloud. Discover how these innovations empower employees & customers to tackle complex challenges. 

Explore Workflow Data Fabric & Google Cloud integration 
See AI demos leveraging diverse data in real-time 
Learn how to implement these capabilities in your enterprise.

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 for a lightning talk summarizing the Google x Kaggle Gen AI Intensive, a 5-day live course that empowered over 140,000 participants with a comprehensive understanding of generative AI. From foundational models and prompt engineering to MLOps and real-world applications, this series covered it all through a mix of theory, hands-on learning, and community engagement, with learning material created by experts across Google. Learn how you can leverage the resources from this ongoing series to upskill yourself and stay ahead in the rapidly evolving field of generative AI.

Learn how to unlock the power of AI and automation with new and enhanced capabilities in Google Workspace. We’ll explore our newest AI and workflow functionality and show how you can easily integrate with Workspace to improve efficiency, enhance collaboration, and achieve better results for your organization.

Startups face a tough challenge: scaling rapidly without compromising security. In this panel, discover how Snap navigated its journey from a small startup to a global platform with the help of Google Cloud. Learn how they tackled growth, performance, and security — and gain practical insights and best practices for scaling your own startup securely and successfully.

Innovating with AI and achieving digital sovereignty are not mutually exclusive. Google Workspace with Gemini is uniquely equipped to help customers leverage AI tools whilst keeping their IP private, meeting regulatory requirements and maintaining resilience against current and future attack vectors. Discover customer strategies for navigating the complexities of digital sovereignty and unlock the full potential of your organization.

Lean teams often struggle to manage the overwhelming volume of unstructured content. This session explores how Gemini, Google’s cutting-edge AI, can help you easily structure and analyze this data. Learn how Box AI is utilizing Gemini with their customer solutions, and examine a real-world use case from Fundwell. Get insights on how to automate data extraction, enhance customer interactions, streamline operations, and gain a significant competitive edge. Discover how AI can empower your team to unlock the true value within your data.

BigQuery helps you build an autonomous data and AI platform from your organization. In this session, you’ll learn how BigQuery agentic intelligence is automating critical data workflows, including data preparation, analysis, predictions, model tuning, security, and governance. We’ll explore the BigQuery AI capabilities that all data practitioners can use to address data challenges in the AI era.

Essential for Looker developers and administrators responsible for high-performing deployments, this session dives deep into the latest Looker performance and modeling advancements, equipping you with the knowledge and tools to build robust and scalable data experiences. Explore the latest platform optimizations, continuous integration and delivery (CI/CD) with Spectacles, key metrics for monitoring, and advanced LookML modeling techniques. Plus, a Looker customer will share their journey to optimize performance and achieve greater scalability.

Looker is transforming business intelligence (BI) with the power of AI. This session explores the latest AI advancements in Looker, showcasing how these new features – combined with the power of its semantic modeling and self-service exploration capabilities – simplify data analysis and empower everyone to make data-driven decisions. We’ll cover Looker AI and BI strategies, demonstrate new capabilities, and share best practices for leveraging AI in your BI workflows.

It’s never a dull day in the world of models. Join us in this session to learn about the latest advancements in Gemini 2.5. We’ll explore its breakthrough capabilities and performance, and the new use cases enabled by our flagship model.

Tired of juggling disparate tools and processes in your software development life cycle (SDLC)? This session explores how a multi-agent platform powered by AI can streamline your workflow and boost productivity. We’ll dive into how specialized agents for code review, testing, documentation, and modernization work together to enhance code quality, accelerate delivery, and free your developers to focus on what matters: creativity and innovation. Discover how this approach can transform your SDLC for the better.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.

Google Workspace is essential to getting work done but many don’t realize they can extend Google Docs, Sheets, and Slides with Apps Script. This lightning talk will show how to get more out of Workspace with Apps Script and take it even further with Gemini. Master automation by generating code snippets, automating tedious tasks, all using AI to handle the busywork so focus stays on what truly matters. Whether beginning your journey or refining your skills, you will train in the ways of AI-driven automation and take your workflow to hyperspeed.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

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!

Learn how generative AI can enhance data workflows and analysis. This session demonstrates how to access and use Gen AI models in BigQuery, including new features like open source model support and structured output from Gemini. Accelerate your data analysis with the latest AI innovations available directly in BigQuery.