Vertex AI offers capabilities to customize and tune foundation models on your data for improved performance, as a unique offering to your customers. This includes techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback, and distillation. We will dive deep into SFT, learn how Vertex lets you customize Gemini models with hundreds of examples cost-effectively. We will also discuss distillation, a technique that uses a teacher model to train smaller student models to perform certain tasks better, at a lower cost and with lower latency. You will also get tips from Palo Alto Networks, based on their real-world experience.

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In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

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In this mini course, you will explore the use of Gemini, PaLM, and other generative AI models using Vertex AI Studio. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss other services in Vertex AI Studio to improve output quality.

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Explore the revolutionary Isolator tool developed by Google Cloud Consulting, enabling secure collaboration on AI projects involving sensitive data. Understand the Zero Trust architecture behind this solution and how it integrates Google's core security products for a safe collaborative environment. Gain insights into practical applications with a focus on maintaining data integrity. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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Google Cloud is building the next generation of Observability solutions using Gemini and BigQuery. In this session, we’ll show you how we can remove fragmentation for your logs, metrics, traces, events, billing data sources using Google BigQuery on Google Cloud Operations Suite to perform Observability analytics. Targeted audience includes Developers, DevOps Engineers, SRE, and Cloud Architects.

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Developing apps is hard enough already, even before you consider how much work it'll be to set up your development system. Let's see how Google Cloud's latest tech changes that. We'll start a new workspace in Project IDX and build a new app using Flutter and Firebase, all in about 30 minutes. Live-coding in a conference talk? What could possibly go wrong?

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Embark on a journey through the diverse landscape of website deployment options available on Google Cloud. In this session, we’ll guide you through various ways to deploy a website, offering insights into the array of tools and services Google Cloud provides for hosting, scaling, and optimizing web applications. From traditional virtual machine instances to containerized solutions with Kubernetes, and serverless deployment with Cloud Functions and Cloud Run, this session will cover the entire spectrum of deployment strategies.

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In this game, you will monitor Google Compute Engine virtual machine (VM) instance with Cloud Monitoring, create and deploy a Cloud Function using the Cloud Platform Command Line, schedule a Cloud Function to identify, clean up unused IP addresses, and to identify and clean up unused and orphaned persistent disks.

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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.

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Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

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Kubernetes is the de facto standard for running modern, containerized workloads in cloud. Google open-sourced Kubernetes 10 years ago and has built the easiest to use and most scalable managed service in Google Kubernetes Engine (GKE). Join this keynote to learn how top customers are leveraging GKE to run their businesses and to hear about the latest innovations and future directions of GKE.

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In this session we’ll create an Apigee proxy that will talk to our containerized workload on Google Cloud Run and Google Cloud SQL, where our business logic will be stored. We’ll explore Apigee capabilities like security and monetization, and build developer resources. We will also cover the concept of “treating your APIs as products.”

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With built-in multi-modal capabilities, Gemini enables powerful solutions spanning across text, images, and videos. In this session, you will learn about real-world use cases and best practices for building Gemini-powered applications that address compelling business use cases. You also learn how enterprises are driving transformation with Gemini on Vertex AI.

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Paramount+ currently relies on manual processes to create the essential metadata and video summaries used across its platform. These elements are crucial for showcasing content and creating personalized experiences for viewers. Join us as we explore how the Paramount+ team harnessed the power of VertexAI Text Bison to streamline this process. Discover their approach using prompt engineering best practices and the impressive results achieved by automating these key content tasks.

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Discover modern cloud migration strategies. Learn to leverage Google Cloud for cost optimization and easy transitions from on-premise infrastructure or competing cloud providers. Get real demos of top migration methods to Google Cloud environments like, Google Cloud VMware Engine, Google Compute Engine, Google Kubernetes Engine, and Cloud Run. Learn to migrate an application across Google Cloud infrastructure levels, fine-tuning for cost and performance. Plus, get insights from Global Payments, with a real-world Google Cloud migration success story.

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Empower your organization with the future of app development: no-code, AI-powered solutions built using Google AppSheet and Google Cloud AI. Business users will discover the ease of automating processes while IT leaders will learn to empower their teams and accelerate time-to-value through powerful AI integrations. Join us to discover how these innovative tools can transform your organization, enabling everyone to drive remarkable results and collaborate effectively across devices and data sources.

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Google is driving incredible transformation in the Public Sector with Assured Workloads. In this session, you’ll learn about the benefits of running secure and compliant services on top of commercial Google Cloud products. NASA and Palo Alto Networks will share their experiences in reaching their compliance objectives using zero-trust and compliance-as-code technologies to create easily reproducible compliant environments. Join us to learn how to easily address 15+ compliance boundaries such as Criminal Justice Information Systems (CJIS), FedRAMP Moderate, FedRAMP High, International Traffic in Arms Regulations (ITAR), and the Department of Defense (DoD) Impact Level 2, 4, and 5.

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Learn how to manage complex, large-scale Oracle or SQL database migrations and embrace a smooth, efficient journey with our database migration framework. Built on best practices and powered by cutting-edge automation tools, our team of experts takes the stress out of migrating your critical data. It all starts with our free Database Migration Assessment (DMA) , our brand-new first-party tool. Our framework empowers you with a repeatable process for future migrations, giving you the confidence to tackle any database move with ease.

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Learn how Google Workspace identity and access management partners Okta and JumpCloud help customers like Winsupply and Unicity migrate off Microsoft 365 and onto Workspace to transform their collaboration capabilities while maintaining a robust security posture.

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Attend this session for an overview of our storage solutions and how they are optimized for a variety of workloads. We’ll share storage best practices for AI, Google Kubernetes Engine, and VMs, and customer storage and infrastructure cost optimization. You’ll gain insight into new features that deliver more performant and available apps to your business. We’ll also share our storage vision providing you the ability to plan for future application workloads.

-Industry’s first unified cloud storage optimized for AI and analytics workloads; -Intelligent storage powered by AI; -Built for mission-critical, high-availability data protection; -Migrating to cloud storage and Google Cloud at scale at low cost

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Discover how to leverage Chrome Enterprise to apply built-in security measures, including data-loss prevention and context-aware access controls, plus the latest product announcements. You’ll leave with actionable best practices, and tips to safeguard your corporate data and empower your team.

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Cultivating a belonging: Community through Cloud-based AI and Ancestral Intelligence. This session explores how artificial intelligence (AI), infused with emotional intelligence (EQ) and fueled by "ancestral intelligence" (the other AI), archived in the cloud, can create belonging. The cloud's capacity to store memories, emotions, and nostalgia can help us create our own AI legacy for future generations.

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Embark on a transformative journey with [Examined] Human, an 8-hour inclusion and belonging experience that breaks learning paradigms using experiential elements in a fully curated environment. This human-centered approach empowers you to examine your lived experiences and make different decisions - all in service of building stronger cultures, stronger companies, and stronger communities.

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Learn about the different ways to integrate Generative AI capabilities to your Android. We’ll cover Android APIs and SDKs to run text-to-text and text-to-image inference on-device and in the cloud.

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The data-to-insights journey is often slow and inefficient due to the friction between specialized tools and analytics skills. Join us to learn about the new natural language-driven and collaborative user experience of BigQuery. Explore how you can use natural language to navigate various stages of the analytics lifecycle including data discovery, pipeline building, processing, query composition, visualization, and more.

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