Scaling Agents with Agentspace isn’t just about building cool agents, it’s about how you integrate those into your business and how you set up the operational governance, the monitoring and the overall lifecycle management that creates a trusted digital workforce. Google Cloud becomes the Digital Office Space for your Agentic employees, and you’ll need an AI RM to manage them.

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Facing the challenges of scaling multimodal search for massive datasets? This session shows how leading retailers scaled their search infrastructure using Vertex AI Vector Search. Discover how the power of multimodal hybrid search of Vector Search 2.0 dramatically improves your search experience.

Want to build large language models (LLMs) that are truly knowledgeable and reliable? This session explores real-world use cases of grounding with diverse data sources, such as data from Google Search, Google Maps, or even your own enterprise data. Discover how Vertex AI helps you build trust in your AI outputs.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

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.

Direct Preference Optimization (DPO) is a cutting-edge approach for fine-tuning large language models to align with human preferences. DPO eliminates complexities of Reinforcement Learning (RL), like reward modeling, by directly training models to prioritize user-selected over rejected outputs, simplifying alignment while maintaining performance. This talk covers DPO's principles, implementation, and significance in refining AI for practical applications. It highlights DPO's streamlined efficiency in optimizing model outputs, unpacking steps for preference-based adjustments, and contrasting DPO with traditional RL, showing its advantages in reducing overhead and enhancing scalability.

Generative AI is moving to production, powering complex workflows. Evaluation is now crucial. This deep dive explores core evaluation principles and methods, with a focus on multi-modal assessment. We'll dissect practical challenges, best practices, and hear from leading researchers on cutting-edge techniques for evaluating multi-modal use cases. Learn how to measure generative AI success beyond simple outputs.

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

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!

Discover how machine learning (ML) engineers and app developers collaborate to build a viral AI app. This session takes you on a journey from a screenshot-to-calendar Python app running on a laptop to a globally scaled app. You’ll learn best practices for collaboration between ML engineers and app developers; how to build, refactor, and scale an AI app to millions of users with a modern architecture; and how to leverage the power of Gemini, Vertex AI, app hosting, and full-stack development. Find out how to build something greater than the sum of its parts!

Calling all developers, DevOps, and SRE engineers: Join us to discuss observability best practices for Gen AI apps on Google Cloud. We'll explore tracing, monitoring, and logging for Gen AI. Share insights on TPU/GPU monitoring, log correlation, regulatory alignment, and data-driven insights to enhance your Gen AI deployments.

Learn how leading retailers accelerate business growth by transforming customer experiences with Google Cloud. Through in-depth enterprise case studies, discover proven strategies for unifying customer data, delivering personalized engagement at scale, and empowering teams with actionable insights. Join industry pioneers as they share their implementation journey, demonstrate measurable ROI across digital touchpoints, and reveal best practices for driving operational efficiency. Walk away with practical frameworks for accelerating your own digital commerce transformation.

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.

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!

Startup developers, are you ready to build? In this hands-on workshop, you'll design and code a generative AI app using Gemini and Vertex AI. Through focused coding exercises, you'll master essential skills in prompt engineering, multimodal AI, and real-world implementation. Walk away with functional AI code—and the foundation to power your AI-driven future.

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

Unleash the power of Gemini with Vertex AI Studio. This hands-on lab guides you through using Gemini for image analysis, prompt engineering, and conversational AI, all within a user-friendly interface. Learn to design prompts and generate content directly from the Google Cloud console.

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!

For years, mainframe modernization seemed out of reach. Generative AI breakthroughs, led by Google’s Gemini, offer automated assessments, code transformation, and risk mitigation for accelerated and cost-effective cloud migration. Learn from Ford and Intesa Sanpaolo about how they reduced costs, boosted performance, and embraced innovation by modernizing their core applications off the mainframe and onto Google Cloud. Learn how Google Cloud’s mainframe modernization solutions can work for your digital transformation journey.

Google Workspace customers are switching to Google Chat and Google Meet, AI-first collaboration tools that seamlessly integrate with the Workspace apps you use every day. Learn how they migrated from costly point solutions to enhance collaboration, improve data security, reduce costs, and unlock new levels of team productivity with Gemini.

AI is revolutionizing the startup landscape, unlocking new possibilities for innovation, efficiency, and growth. Join industry leaders as they share bold predictions, critical challenges, and practical strategies to help you harness AI for your business in 2025 and beyond.

Discover the breakthrough AI capabilities transforming cloud operations and management. Join us for an overview of Gemini Cloud Assist and learn how it brings you an AI-based cloud management experience. Gemini Cloud Assist empowers you to design and deploy apps faster, troubleshoot issues with AI insights, and optimize performance and costs through intelligent recommendations. We’ll showcase its new capabilities and integrations in various Google Cloud products, and show you how it can completely reshape your cloud management experience.

This session offers insight on diverse AI user journeys to help you visualize AI’s potential. Drawing on Google’s experience working with different clients, our experts will showcase impactful ways customers are driving their businesses forward with Google Workspace with Gemini. We’ll explore different use cases, demonstrating how AI can optimize operations, enhance experiences, and unlock new growth opportunities.

Unlock the Power of Fine-Tuning with Apps Script! Learn how to optimize pre-trained models for specific tasks using Google Apps Script. This session covers exporting data from Sheets to Cloud Storage as JSONL, building an Apps Script prompt explainer backend, and creating service accounts for secure access to Vertex AI and Cloud Storage. We'll also show how to collect, transform, and split data for training, launch the fine-tuning process, and test results in Vertex AI and a Google Chat bot. Master fine-tuning for practical AI applications.