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.

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!

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.

AI is reshaping software engineering. Learn how Google’s engineering team prioritizes transformative AI investments for both immediate and long-term value.

Decode the future of startup funding. Join top VC leaders for a dynamic discussion on key trends, emerging technologies, and winning investment strategies shaping the next year. Whether you’re seeking funding or planning your next move, this is a must-attend session to gain crucial insights to navigate the evolving startup landscape.

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.

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!