This lecture delves into the evolution from LLMOps to GenOps, showcasing how the GenOps solution revolutionizes Generative AI with its cutting-edge security and governance framework powered by Google Cloud. It highlights the necessity of continuous security throughout the AI lifecycle and the strategic integration of ethical guidelines and compliance measures, ensuring safe, compliant, and efficient AI operations. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL 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!

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.

Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Meet with a Google Cloud Security expert to discuss your specific security needs and discover how our solutions can help. Plus, you can grab a complimentary copy of the “Defenders Advantage” book and a cup of coffee while you’re there.

Join Google Cloud and Quantiphi for a workshop on how to build and deploy powerful conversational AI agents using the Customer Engagement Suite with Google AI. Learn best practices and leave with actionable strategies to improve your customer experience.

Gain insight into building domain-specific GenAI applications for the enterprise through the lens of the legal use case. Discover essential components of a comprehensive LLM ecosystem and operational model, and strategies for delivering relevant, accurate outputs with safe and ethical guardrails. Hear from PwC's Vince DiMascio on the real-world insights from a venture capital firm's successful legal GenAI implementation

Don't miss this opportunity - discover the power of GenAI.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Learn how Google Cloud's workload-optimized infrastructure delivers leading reliability, cost and performance for your most important workloads.

Monitor generative AI workloads using Google Cloud Observability, including alerting and troubleshooting.

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!

In this hands-on lab, you’ll learn the fundamentals of networking in Google Cloud and how it differs from traditional on-premises setups. You'll build a network with three subnetworks and gain practical experience in creating firewall rules. Learn how to apply these rules using instance tags to control access across your environment. By the end of the session, you'll be equipped with the foundational knowledge to manage and secure Google Cloud networks effectively.

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!

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Pedal your way to the right choice, smack that giant enter button to confirm, and pick the right deployment for your prompt. Peek behind the scenes at the Google Cloud console for the tooling to explore and analyze logs and metrics.

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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!

Artificial Intelligence is becoming a critical part of your organization's strategy. Businesses are waking up to the opportunities that AI can bring, as well as the massive task of taking advantage of them. Learn how AI and ML could become a part of your business and how Publicis Sapient and Google Cloud can help you harness the power of AI. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this mini course you will learn about different prompt design and engineering techniques commonly used in LLM-powered applications such as few-shot prompting and chain of thought reasoning. You will then apply these practices in a hands-on lab environment using the PaLM and Gemini Pro APIs.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.

Measure and reduce your emissions on GCP. Get actionable insights for sustainable cloud operations.