Khushi Choudhary
成为会员时间:2025
成为会员时间:2025
Cloud Storage, Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服务,可用于存储、处理和管理数据。这三项 服务可结合使用,创建各种数据驱动型应用。在 此技能徽章课程中,您将使用 Cloud Storage 存储图片,使用 Cloud Functions 函数 处理图片,并使用 Cloud Pub/Sub 将图片发送到另一个应用。
Take your marketing skills to the next level in under 50 minutes with AI Boost Bootcamp. Based on Google’s own proven internal training, this course empowers you to master Gemini for marketing (across Google Workspace and Gemini Enterprise). Learn how to use Gemini for market research, campaign execution, content creation at scale, and performance reporting. You’ll also learn how to build custom AI agents for marketing with Gemini Enterprise. Start amplifying your unique skills and earn your completion badge today.
完成入门级使用 Gemini Enterprise 编排多智能体工作流技能徽章课程,展示您在以下方面的技能:使用由 Gemini Enterprise 提供支持的智能体助理整合来自第一方和第三方来源的数据、制作多媒体营销材料,以及跨系统自动执行业务操作。 技能徽章通过动手实验和挑战赛形式的评估,检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章,也可直接参加实验室挑战赛,快速获得徽章。徽章可证明您掌握技能的熟练程度,提升您的专业形象,最终助您获得更多职业机会。欢迎访问您的个人资料,跟踪您已获得的徽章。
完成 使用 API Gateway 部署和保护无服务器 API技能徽章课程,赢取技能徽章。 您将学习如何通过全托管式网关,使用 API Gateway 来部署、 保护和管理 API。
It’s all about global spans and execution plans. First, you'll get under the hood of Google Cloud Spanner to design schemas, load data at scale, and master query plan optimization. From there, you'll execute your serverless backend plan by wiring up Cloud Run Functions, Pub/Sub messaging, and API Gateway. Packed with two challenge labs, you'll leave with full control over enterprise data and event-driven APIs.
完成创建和管理 Cloud Spanner 实例 这一入门级技能徽章课程,展示您在以下方面的技能: 创建 Cloud Spanner 实例和数据库并与之互动; 使用各种方法加载 Cloud Spanner 数据库; 备份 Cloud Spanner 数据库;定义架构并了解查询计划; 部署连接到 Cloud Spanner 实例的现代 Web 应用。
完成中级技能徽章课程“在 Google 表格中使用函数、公式和图表”, 展现您在以下方面的技能:使用函数分析数据;使用图表直观呈现数据;以及搜索和验证数据、 设置数据格式、显示数据。
Transforming raw spreadsheet data into structured business intelligence requires precise validation, efficient navigation, and dynamic visual reporting. This voyage path builds core analytical competencies using Google Sheets. You will begin by implementing strict data validation rules, configuring targeted search workflows, and ensuring data integrity across large datasets. You will then advance to building dynamic charts and executing complex analytical formulas to extract meaningful insights. Finalized with a comprehensive challenge lab, this voyage prepares you to build reliable, presentation-ready analytical workbooks.
完成入门级技能徽章课程“使用 Dataplex 整理和治理数据”,展示您在以下方面的技能:创建 Dataplex 资产、创建切面类型,以及将切面应用于 Dataplex 中的条目。 技能徽章通过动手实验和挑战赛形式的评估,检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章, 也可直接参加实验室挑战赛,快速获得徽章。徽章可证明您掌握技能的熟练程度,提升您的专业形象,最终助您获得更多职业机会。欢迎访问您的个人资料,并跟踪您已获得的徽章。
完成使用 NCC 连接云网络课程,即可获得中级技能徽章,您将在此课程中学习如何 使用 Network Connectivity Center 连接您的本地网络、云企业网络和混合网络, 并通过 Google Cloud 上的一个集中式枢纽,以 spoke 的方式来管理它们。
Welcome to this month's Arcade Simulator where you will step into the shoes of a Network Security Engineer. In this simulation, you'll first lock down access control across your infrastructure—crafting custom IAM roles, scripting permissions, and setting up Identity-Aware Proxy to secure user authentication without traditional VPNs. Then, you'll take control of hybrid enterprise topology, using Network Connectivity Center to link multi-cloud networks, VPCs, and site-to-site HA-VPNs. Complete with two realistic challenge labs, this simulation equips you to eliminate access blind spots, secure cross-cloud traffic, and build a fortress-grade network on Google Cloud.
完成 IAM 中的特权访问权限技能徽章中级课程, 展现您在以下方面的技能:使用 Identity and Access Management (IAM) 自定义角色、 最小权限原则、即时 (JIT) 临时提升访问权限、 以及使用 Identity-Aware Proxy (IAP) 保障 Web 应用的安全。'
完成在 Google Cloud 上实现 CI/CD 流水线技能徽章课程,赢取中级技能徽章。 您将学习如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy。您将与 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE 互动。本课程将介绍如何构建持续集成 流水线,存储和保护工件,扫描漏洞,证明已批准版本 的有效性。此外,您还将获得在 GKE 和 Cloud Run 中 部署应用的实操经验。
Accelerating software delivery while maintaining stability demands automated build, artifact, and release pipelines. This trail covers the core practices for implementing continuous integration and continuous delivery (CI/CD) on Google Cloud. You will begin by managing container images with Artifact Registry and building automated pipelines for Google Kubernetes Engine using Cloud Build. Next, you will configure continuous delivery workflows with Google Cloud Deploy to safely promote releases across environments. Concluding with a practical challenge lab, this trail prepares you to establish resilient, production-ready deployment pipelines.
完成使用 Apps 脚本和 AppSheet 进行开发技能徽章课程,赢取技能徽章。 在此课程中,您将学习如何构建聊天机器人,以及如何 在任何文档中使用脚本编辑器。
完成本课程,赢取使用智能体开发套件 (ADK) 构建 AI 智能体中级技能徽章,展示您在以下方面的技能: 提出实际的语言模型研究问题;构建一个简单的词元化器;制作用于训练 Transformer 语言模型的数据集;运行小语言模型的训练循环。
打造您的首个 Gemini Enterprise 应用,赢得技能徽章!将各种数据源连接到您的应用中,构建强大、统一的搜索和分析引擎。掌握进阶能力,如:深度研究型智能体、多智能体协同构思,以及用于进行聚焦式分析的 NotebookLM。
完成 Google Cloud 中的监控功能这一入门级技能徽章课程, 以证明您具备以下技能:使用 Cloud Monitoring 工具监控 Google Cloud 上的资源。
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
完成用 Google Data Cloud 共享数据技能徽章课程,赢取技能 徽章。您将获得使用 Google Cloud 数据共享合作伙伴 的实操经验,这些合作伙伴拥有专有数据集, 客户可将其用于自己的分析应用场景。客户订阅这些数据集,可在自己的 平台上查询,然后使用自己的数据集加以扩充,并使用自己的可视化 工具,用于面向客户的信息中心。
Who says sharing complex data across boundaries has to be a compliance nightmare? This adventure is your blueprint for delivering modern Analytics-as-a-Service on Google Data Cloud. You'll start by building secure, authorized views on BigQuery to safely expose data to partners without exposing underlying tables. Next, you'll learn to consume customer-specific datasets and streamline cross-organization data delivery. Packed with a hands-on challenge lab, this adventure gives you the practical skills to publish, share, and scale data seamlessly while keeping security tight.
完成在 Google Cloud 中管理 Kubernetes这一中级技能徽章课程, 展示您在以下方面的技能:使用 kubectl 管理部署、监控并 调试在 Google Kubernetes Engine (GKE) 上运行的应用,以及持续交付技术。
完成使用 Natural Language API 分析情感挑战任务,赢取技能徽章 。在此过程中,您将学习如何使用 API 从文本中提取情感。
Building a true "safe space" in the cloud means protecting your applications from external threats while keeping your internal infrastructure stable and efficient. This challenege starts by turning Security Command Center into your ultimate defensive shield—learning to spot risks, investigate threats, and secure your perimeter. From there, you'll bring that same safe-space philosophy to Google Kubernetes Engine (GKE) by isolating workloads safely with multi-tenant namespaces and protecting your budget through smart autoscaling ensuring your cloud environments remain secure and perfectly optimized.
完成中级技能徽章课程“优化 Google Kubernetes Engine 的费用”, 展示您在以下方面的技能:创建和管理多租户集群、按命名空间监控资源使用情况、 配置集群和 Pod 自动扩缩以提高效率、设置负载均衡以实现最佳资源分布, 以及实现活跃性与就绪性探测以确保应用正常运行并具有成本效益。
Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.
完成中级技能徽章课程使用 BigQuery 构建数据仓库,展示以下技能: 联接数据以创建新表、排查联接故障、使用并集附加数据、创建日期分区表, 以及在 BigQuery 中使用 JSON、数组和结构体。
完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程, 展示您在以下方面的技能:在使用 Terraform 时遵循基础设施即代码 (IaC) 原则;利用 Terraform 配置 来预配和管理 Google Cloud 资源;管理有效状态(本地和远程);以及将 Terraform 代码模块化,以方便重复使用和整理。
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
完成中级技能徽章课程保护软件交付流程,展示您能够熟练地根据 DevSecOps 原则,主动将安全措施集成到软件开发生命周期 (SDLC) 中。 您将学习如何利用 Google Kubernetes Engine (GKE) 和 Cloud Run 安全地部署容器映像,如何实现自动漏洞扫描以主动识别风险,以及如何使用 Artifact Registry 简化应用开发,同时保持对安全性的关注。此外,您还将掌握以下技能:集成 Cloud Build 以实现稳健的开发流程,以及实现准入控制政策以对环境进行精细控制。
完成“使用 Cloud Run Functions 构建无服务器应用”课程,赢取“入门”技能徽章。您将学习如何通过 Google Cloud 控制台和命令行使用 Cloud Run Functions。 技能徽章通过动手实验和挑战赛形式的评估,检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章, 也可直接参加实验室挑战赛,快速获得徽章。徽章可证明您掌握技能的熟练程度,提升您的专业形象,最终助您获得更多职业机会。欢迎访问您的个人资料,并跟踪您已获得的徽章。
Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.
Managing an organization’s digital ecosystem isn't just about keeping the lights on—it's about building a secure launchpad for collaboration. In this trail, you'll step into the Google Workspace Admin Console to control user provisioning and application security from the ground up. Then, you'll switch gears to digital education, transforming standard environments into secure virtual classrooms using Google Meet and Google Classroom. Backed by a challenge lab, this trail is your fast track to running enterprise-grade cloud workspaces.
完成用 AppSheet 来构建应用课程,赢取技能徽章。 在此课程中,您将学习如何使用 AppSheet 构建、配置和发布应用。
完成通过 API 使用 Cloud Storage 这一入门级技能徽章课程,展示您在以下方面的技能: 使用 API 来处理 Cloud Storage 资源,包括 Cloud Storage API。
Data is one of the most valuable assets an organization owns, making its safe handling and governance essential. In this voyage, you will master Cloud Storage fundamentals by automating bucket management via APIs and the CLI, while enforcing compliance with Bucket Lock. You will then advance to automated security, configuring Sensitive Data Protection Discovery to scan and catalog risks across BigQuery and Cloud Storage. Complete with two challenge labs, this journey equips you to secure assets across your entire cloud ecosystem.
完成在整个生态系统中发现并保护敏感数据 这一中级技能徽章课程,展示以下方面的技能:使用 Sensitive Data Protection 服务 (包括 Cloud Data Loss Prevention [DLP] API)发现、检查和隐去 Google Cloud 中的敏感数据,并对敏感数据进行去标识化处理。 Google Cloud 生态系统包括 Cloud Storage 文件、BigQuery 数据和生成式 AI 模型回答。
完成在 Looker 中构建 LookML 对象入门技能徽章课程,展示以下方面的技能: 构建新的维度、测量、视图和派生表;根据需求设置测量的过滤条件和 类型;更新维度和测量; 构建并优化探索;将视图联接到现有探索;并根据业务需求 决定要创建哪些 LookML 对象。
Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.
完成中级技能徽章课程在 Looker 中管理数据 模型,展示以下方面的技能:维护 LookML 项目的健康状况;利用 SQL Runner 进行数据验证;采用 LookML 最佳实践;优化查询和 报告;以及实现永久性派生表和缓存政策。
完成入门级技能徽章课程为 Compute Engine 实现云负载均衡,展示以下方面的技能: 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。
完成 在 Google Cloud 中实施 Sensitive Data Protection 这一入门级技能徽章课程,展示您在以下方面的技能:使用 Sensitive Data Protection 服务 (包括 Cloud Data Loss Prevention API)来检查和隐去 Google Cloud 中的敏感数据,并对敏感数据进行去标识处理。
Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.
完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据,展示以下技能: 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Managed Service for Apache Spark 中创建集群和运行 Apache Spark 作业,以及调用机器学习 API,包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
完成入门级使用 Google Cloud Observability 进行监控和记录技能徽章课程, 展示自己在以下方面的技能:监控 Compute Engine 中的虚拟机; 利用 Cloud Monitoring 监控多个项目;将监控和日志记录功能扩展到 Cloud Functions; 创建和发送自定义应用指标;以及根据自定义指标配置 Cloud Monitoring 提醒。
Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.
完成“在 Google Cloud 上设置应用开发环境”课程,赢取技能徽章;通过该课程,您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施: Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
完成使用预训练 API 实现语音和语言解决方案课程以获得技能徽章,了解如何使用与语音相关的 API 工具来合成和转录语音。
Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.
完成“为 Google Cloud 配置服务账号和 IAM 角色”课程,赢取入门级技能徽章。在本课程中,您将了解服务账号、自定义角色以及如何使用 gcloud 设置权限。
完成开发 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将学习 部署和监控应用的多种方法,包括执行以下任务的方法:探索 IAM 角色并添加/移除 项目访问权限、创建 VPC 网络、部署和监控 Compute Engine 虚拟机、 编写 SQL 查询、在 Compute Engine 中部署和监控虚拟机,以及使用 Kubernetes 通过多种部署方法部署应用。
完成在 Google Cloud 上部署 Kubernetes 应用技能徽章中级课程,展示您在以下方面的技能: 配置和构建 Docker 容器映像,创建和管理 Google Kubernetes Engine (GKE) 集群,利用 kubectl 实现高效 集群管理,以及按照稳健的持续交付 (CD) 实践部署 Kubernetes 应用。
完成在 Google Cloud 上使用 Machine Learning API 课程,赢取高级技能徽章。 在本课程中,您将了解以下机器学习和 AI 技术的基本功能: Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
完成设置 Google Cloud 网络课程,赢取技能徽章, 您将了解如何在 Google Cloud Platform 上执行基本的网络组建和管理任务 - 创建自定义网络、添加子网防火墙规则,然后创建虚拟机并测试 虚拟机之间相互通信时的延迟时间。
完成Google Cloud 云计算基础知识挑战任务,赢取技能徽章。 您将学习如何在 Compute Engine 中使用虚拟机 (VM)、永久性 磁盘和 Web 服务器。
完成在 Google Cloud 中实施 DevOps 工作流技能徽章中级课程, 展示您在以下方面的技能:创建和管理 git 代码库; 在 Google Kubernetes Engine (GKE) 上启动、管理和扩缩 Deployment; 设计 CI/CD 流水线架构,以自动构建容器映像并将其部署到 GKE。
完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程, 展示自己在以下方面的技能:使用 Identity and Access Management (IAM) 创建和分配角色; 创建和管理服务账号;跨虚拟私有云 (VPC) 网络实现专用连接; 使用 Identity-Aware Proxy 限制应用访问权限; 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据;创建专用 Kubernetes 集群。
A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.
完成借助 Firebase 开发无服务器应用技能徽章中级课程, 展示您在以下方面的技能:借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用; 利用 Firestore 管理数据库;利用 Cloud Build 自动完成部署流程; 以及将 Google 助理功能集成到您的应用中。
完成入门技能徽章课程使用 Knowledge Catalog 构建数据网格,展示以下方面的技能:使用 Knowledge Catalog 构建数据网格, 以在 Google Cloud 上实现数据安全、治理和发现。您将在 Knowledge Catalog 中练习和测试自己在标记资产、分配 IAM 角色和评估数据质量方面的技能。
完成在 Google Cloud 上构建网站技能徽章课程,赢取入门级技能徽章。本课程以 Get Cooking in Cloud 系列视频为基础, 涵盖以下主题:在 Cloud Run 上部署网站在 Compute Engine 上托管 Web 应用在 Google Kubernetes Engine 上创建、部署和扩缩网站使用 Cloud Build 从单体式应用迁移到微服务架构
完成在 Google App Engine 上部署和管理应用课程,赢取技能徽章。在此课程中,您将学习如何将 App Engine 与 Python、Go 和 PHP 搭配使用。
Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.
Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.
A lot of cloud work comes down to moving data, managing access, and making sense of what’s happening behind the scenes. In this trail, you’ll migrate a MySQL database to Google Cloud, work with IAM permissions using gcloud, and analyze network traffic with VPC Flow Logs. You’ll also store and manage media files, prepare data with Dataprep, and build reports using Looker Studio and LookML. There’s even a lab on measuring Speech-to-Text accuracy. It’s a mix of tasks that shows how data is handled, monitored, and used across different parts of Google Cloud.
Google Kubernetes Engine (GKE) is all about running and managing containerized applications without worrying too much about the underlying setup. In this adventure, you’ll get hands-on with how things actually work—managing workloads, debugging issues, and trying out autoscaling. You’ll also explore Autopilot, run load tests, and work with private clusters and network access. By the end, you’ll have a clearer sense of how GKE setups are put together and handled in practice.
On Google Cloud, building an app usually means handling more than just the code. You’ll need to deploy it, connect services, and keep things running properly. In this voyage, you’ll host a web app, set up a deployment pipeline, and build a REST API with Cloud Run. You’ll also try out Flutter and set up a Python development environment. You’ll work with VPC networks, load balancing, and clean up unused resources along the way. It’s a practical set of tasks that reflects how apps are actually run on Google Cloud.
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
Modern cloud teams rely on automation and strong platform knowledge to move faster and smarter. In this trail, you’ll deploy Kubernetes Load Balancers and Cloud SQL using Terraform, strengthen observability with Cloud Logging, and customize analytics experiences in Looker using Liquid. You’ll also put your knowledge to the test through role-based Arcade Quizzes — from Data Practitioner and Database Engineer to Workspace Administrator — sharpening both your technical confidence and real-world readiness.
Over 80% of security breaches are linked to misconfigurations and weak access controls — which is why mastering cloud security and automation matters. In this adventure, you’ll detect and investigate threats with Security Command Center, create IAM custom roles, and secure digital transactions using Confidential Space. You’ll also strengthen your data and infrastructure skills by working with Datastore, Pub/Sub, Cloud Storage APIs, data joins and warehousing techniques, load balancers, Terraform, and CI/CD pipelines with Jenkins on Kubernetes Engine. Together, these labs help you build secure, reliable, and scalable cloud environments with confidence.
This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
As Pup and Kit move through the city between matches—booking plans on the fly, exploring structures built to last, and navigating busy streets—the story reflects what it takes to keep systems running smoothly behind the scenes. From securing storage and shaping networks to improving performance, reliability, and cost efficiency, these labs echo the quiet work that makes flexibility possible. Along the way, hands-on challenges and quizzes sharpen decision-making, so when it’s time for the next big play, everything is ready to perform.
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
Over 80% of modern applications rely on event-driven architectures or real-time messaging to stay responsive at scale. In challenge, you’ll work with Pub/Sub to build event-driven systems, deploy workloads on Google Kubernetes Engine, manage authentication and dynamic secrets with Vault, and explore language processing using Cloud APIs. You’ll also build Flutter applications and work with Cloud Spanner, gaining hands-on experience across messaging, security, data, and application development.
A new year brings a fresh opportunity to build consistency in how you learn and apply cloud skills. In this challenge, you’ll deploy applications using App Engine and Cloud Run Functions, work with Compute Engine instances, and manage data through Cloud Storage using both the console and CLI. You’ll also define fine-grained access with custom IAM roles, analyze logs, create alerts from logs-based metrics, and monitor workloads across multiple projects. Together, these labs help you begin the year by strengthening essential cloud operations skills and developing habits that support reliable, well-monitored applications.
Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
Generative AI is quickly becoming a core part of modern cloud solutions. In this challenge, you’ll build applications using Gemini on Vertex AI for text embeddings, multimodal content generation, and text-to-image workflows, while also learning how to ingest data into BigQuery from Cloud Storage. You’ll then test your understanding through role-based Arcade quizzes designed for Workspace Administrators, Database Engineers, DevOps Engineers, and Digital Leaders—bringing together hands-on building and practical knowledge validation.
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 4 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 2 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 1 badge!
欢迎学习“AI 基础设施:网络组建和管理技术”课程。 在本课程中,您将学习如何利用 Google Cloud 的高带宽、低延迟基础设施,优化 AI 系统所有组件之间的数据传输和通信。学完本课程后,您将了解网络组建和管理在整个 AI 流水线(从数据注入、训练到推理)中发挥的关键作用,并能够应用最佳实践来确保您的工作负载以最高速度运行。
在本课程中,您将全面了解 Google Cloud 提供的存储解决方案,这些解决方案专为 AI 和高性能计算 (HPC) 工作负载量身定制。您将学习如何为机器学习生命周期的各个阶段选择合适的存储选项。您将探索如何在训练期间优化 I/O 性能,管理海量数据集以进行数据准备,以及以低延迟部署模型制品。通过实际案例和演示,您将获得设计可靠存储解决方案所需的专业知识,从而加速 AI 创新。
本课程全面指导如何在 Google Cloud 上部署、管理和优化 AI 和高性能计算 (HPC) 工作负载。通过一系列课程和实际演示,您将探索从基于 Google Compute Engine (GCE) 的高度可定制环境,到 Google Kubernetes Engine (GKE) 等托管式解决方案的各种部署策略。具体来说,您将学习如何创建集群并部署 GKE 进行推理。
欢迎学习 Cloud TPU 课程。我们将探讨 TPU 在不同场景下的优势和劣势,并比较不同的 TPU 加速器,以帮助您选择合适的加速器。您将了解可通过哪些策略充分提高 AI 模型的性能和效率,并理解 GPU/TPU 互操作性对于创建灵活的机器学习工作流程的重要性。通过引人入胜的课程内容和实际演示,您将逐步了解如何有效利用 TPU。
对 AI 背后的强大硬件感到好奇吗?本单元将详细讲解性能经过优化的 AI 计算机,向您展示它们为何如此重要。我们将探讨 CPU、GPU 和 TPU 如何让 AI 任务高速运行,介绍它们各自的特点,并说明 AI 软件是如何充分发挥这些硬件的性能的。学习结束后,您将清楚地知道如何为自己的 AI 项目选择合适的 GPU,从而为 AI 工作负载做出明智的决策。
准备好探索 AI Hypercomputer 了吗?这门课程将带您轻松入门!我们将介绍相关基础知识,并阐释它们如何助力 AI 处理 AI 工作负载。您将了解超级计算机内部的各个组件,如 GPU、TPU 和 CPU,并知晓如何根据您的需求选择合适的部署方法。
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!
了解 BigQuery 机器学习推理功能,以及数据分析师为何应使用该功能,它有哪些应用场景,有哪些受支持的机器学习模型。您还将了解如何在 BigQuery 中创建和管理这些机器学习模型。
In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
在本课程中,您将了解 Gemini(Google Cloud 的生成式 AI 赋能的协作工具)如何帮助分析客户数据并预测产品销售情况。此外,您还将了解如何在 BigQuery 中使用客户数据来识别、开发新客户并对其进行分类。通过动手实验,您将体验 Gemini 如何改进数据分析和机器学习工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。