Scaling infrastructure for your AI-powered startup? Learn practical strategies for generative AI and large language models (LLMs). Gain expert insights on architecture, deployment models, and how to build robust, scalable systems to fuel your innovation.

Accelerate your code review process and increase software quality with Gemini Code Assist in GitHub. This session demonstrates how the power of Gemini can now be integrated into GitHub, bringing a code review agent directly to your pull requests that can provide pull request summarization and code improvement suggestions. Plus, you’ll learn how to customize these Gemini-powered reviews to focus on best practices that are specific to your team and repository.

Scale your generative AI applications to enterprise readiness with best practices from Vertex AI. To ensure your path to production is smooth, Vertex AI offers several features – such as provisioned throughput for predictable performance; robust data residency controls to meet your processing requirements; customizable models through tuning, grounding, and function calling; and built-in reliability features like evaluations and safety filters.

Video generation is transforming many industries. In this session, learn how Veo 2 on Vertex AI can help your organization revolutionize content generation processes and maximize the impact of your team's efforts.

Discover how TELUS centralized 14 petabytes of data in Google Cloud, creating a single source of truth for AI innovation. Join us to explore how they transformed hundreds of enterprise-grade pipelines and get insights into responsible AI practices and future plans.

Generative AI is transforming the fashion industry! We explore how to use Google’s cutting edge tools: Imagen 3, multimodal Gemini, and BigQuery to enhance our creativity throughout the design process. From design inspiration, fabric print design, garment design, to branding. We discuss how developers can rapidly prototype and bring AI-powered visions to life with Google Cloud Vertex AI. Whether you are a developer, a designer or an industry leader, you will find valuable insights on how to integrate generative AI into your creative workflow.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven 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!

Delve into Wayfair's integration of Google's generative AI solutions to revolutionize their e-commerce platform and enhance employee collaboration. Discover how Wayfair leveraged Google Cloud's Gemini models on Vertex AI to automate and improve their product catalog enrichment for faster time-to-market, cost savings, better customer experience and responsible content management. Learn how Wayfair implemented Gemini for Google Workspace to boost employee productivity and collaboration to foster a more efficient and creative work environment.

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.

Witness the magical intersection of classical music and AI in this unique session featuring live violin performance. Experience how Vertex AI and Gemini transform musical emotions into insights through real-time audio processing and mood detection. Through live demonstrations, discover how to implement AI for content understanding and automated analysis. See how Google Cloud's AI tools open new possibilities in creative industries. Perfect for developers and ML engineers interested in audio AI.

This hands-on lab empowers you to build a cutting-edge multimodal question answering system using Google's Vertex AI and the powerful Gemini family of models. By constructing this system from the ground up, you'll gain a deep understanding of its inner workings and the advantages of incorporating visual information into Retrieval Augmented Generation (RAG). This hands-on experience equips you with the knowledge to customize and optimize your own multimodal question answering systems, unlocking new possibilities for knowledge discovery and reasoning.

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!

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.