在 Google Cloud 上使用 Terraform 构建基础设施
Earned Mar 31, 2023 EDT
在 Looker 中构建 LookML 对象
Earned Mar 31, 2023 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Mar 29, 2023 EDT
在 BigQuery 中执行预测性数据分析
Earned Mar 27, 2023 EDT
使用 BigQuery 构建数据仓库
Earned Mar 25, 2023 EDT
创建和管理 Cloud SQL for PostgreSQL 实例
Earned Mar 15, 2023 EDT
用 Google Data Cloud 共享数据
Earned Mar 11, 2023 EST
用 Database Migration Service 将 MySQL 数据迁移至 Cloud SQL
Earned Mar 9, 2023 EST
设置 Google Cloud 网络
Earned Mar 6, 2023 EST
开发 Google Cloud 网络
Earned Dec 3, 2022 EST
通过 BigQuery ML 创建机器学习模型
Earned Nov 28, 2022 EST
从 BigQuery 数据中挖掘数据洞见
Earned Nov 22, 2022 EST
为 Looker 信息中心和报告准备数据
Earned Nov 12, 2022 EST
为 Compute Engine 实现云负载均衡
Earned Nov 7, 2022 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Nov 3, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Oct 28, 2022 EDT
Google Cloud 基础知识
Earned Oct 9, 2022 EDT
78%—or nearly 8 in 10—business leaders say Google Cloud helps them stay ahead in the age of AI. A big part of that comes down to how teams build and connect intelligent systems. Here, you’ll build and manage conversational agents, and use speech-to-text and translation APIs to handle different types of input. You’ll also move from monolithic apps to microservices on GKE, connect workflows using webhooks, and use observability tools to keep track of what’s happening. IAM comes in as well to manage access where needed. It’s a practical look at how these pieces are used together in real setups.
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Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.
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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.
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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.
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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!
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Over 85% of enterprises are accelerating AI and cloud adoption to stay ahead. In this voyage, you’ll prepare and protect data using Dataprep and the Cloud Data Loss Prevention API, scan for vulnerabilities, and validate workloads. You’ll also build and deploy modern applications using Cloud Build, GKE pipelines, App Engine Flexible, and Artifact Registry — while creating AI-powered solutions with Vertex AI, Gemini, and Speech-to-Text. Together, these labs help you secure data, deploy confidently, and build intelligent cloud applications at scale.
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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!
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Great data experiences don’t happen by accident — they’re modeled, optimized, and scaled with intent. In this challenge, you’ll build a strong foundation with Looker by creating modeled queries, defining measures and dimensions, modularizing LookML with extends, and refining logic using functions and operators. You’ll filter Explores, merge results, and sort insights to uncover what truly matters. You’ll also enhance performance with caching and explore distributed processing with Dataproc. These are the same capabilities that Zoomcar used on Google Cloud to modernize its data stack — and now, you get to build them too!
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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!
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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!
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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!
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Holi is all about bringing different colors together — and that’s exactly what this challenge does with technology. You’ll package applications with Docker, manage deployments using Kubernetes Engine, secure access with IAM and VPN, and deploy apps on App Engine. You’ll also store data in Cloud Storage and explore how AI APIs can analyze, classify, and translate text. It’s a hands-on way to see how different cloud pieces come together to build something reliable, secure, and smart.
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It begins with a simple question: Where to next? Inspired by Agoda’s AI-powered travel platform, this challenge shows how AI helps turn preferences into vivid destinations, detailed itineraries, and stunning visuals. You’ll build intelligent apps that understand intent, generate rich content, and deliver real-time recommendations — supported by cloud-native services that keep everything fast, reliable, and seamless. The result: planning that feels effortless, inspiring, and part of the journey itself.
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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.
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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!
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Pup and Kit’s World Cup journey highlights how the right skills quietly power great experiences. As they plan, adapt, and stay in sync using data, automation, and cloud-based tools, the story nudges you to step into their shoes and build those capabilities yourself. Each lab mirrors a moment from their adventure, encouraging you to explore, experiment, and strengthen skills that help you stay prepared, move faster, and make smarter choices-whatever the situation demands.
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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.
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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!
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Developers using managed cloud services can reduce infrastructure management effort by up to 60%, allowing more time to focus on building features that matter. In this level, you’ll gain hands-on experience with Cloud SQL, containerized workloads, and cloud-native application development through the Arcade ACE App Dev series, helping you design, deploy, and manage scalable applications more efficiently.
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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!
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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!
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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!
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Infrastructure is the backbone of modern care. Following the blueprint set by Manipal Hospitals, this challenge dives into the backend architecture that powers healthcare at scale. From automating CI/CD pipelines to securing containerized workloads on GKE, you will explore how cloud-native tools directly impact real-world outcomes—like faster prescriptions and safer transitions of care. Learn to architect for reliability, ensuring that when the demand spikes, your system doesn't just run; it performs.
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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!
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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!
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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.
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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.
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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.
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本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果，做好模型评估至关重要。
学员将深入了解各项评估指标、方法及如何在不同模型类型和任务中适当应用这些指标和方法。课程将着重介绍生成式 AI 模型带来的独特挑战，并提供有效解决这些挑战的策略。通过利用 Google Cloud 的 Vertex AI Platform，学员可学习如何在模型选择、优化和持续监控工作中实施卓有成效的评估流程。
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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
完成中级技能徽章课程使用 Vertex AI 中的 Gemini API 探索生成式 AI，展示自己在以下方面的技能： 文本生成技能、用于增强内容创作能力的图像和视频分析技能，以及在 Gemini API 中应用函数调用技术的技能。 了解如何运用先进的 Gemini 技术、探索多模态内容生成方法，并扩展 AI 赋能项目的功能。
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完成 在 Vertex AI 中设计提示入门技能徽章课程，展示以下方面的技能： Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示，指导生成式 AI 输出， 以及将 Gemini 模型应用于真实的营销场景。
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完成“使用 Gemini 和 Imagen 构建实际 AI 应用”技能徽章入门课程，展示您在以下方面的技能：图像识别、自然语言处理、
使用 Google 强大的 Gemini 和 Imagen 模型生成图像、在 Vertex AI 平台上部署应用。
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力，重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具，并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。
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完成构建安全的 Google Cloud 网络课程，赢取技能徽章。在此课程中，您将了解与网络有关的众多 资源，以便在 Google Cloud 上构建、扩缩和保护自己的应用。
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Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.
完成使用 Google API 分析语音和语言课程，赢取技能徽章 。在此课程中，您将学习如何在真实场景中使用 Natural Language API 和 Speech API。
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完成在 Vertex AI 上构建和部署机器学习解决方案课程，赢取中级技能徽章。 在此课程中，您将了解如何使用 Google Cloud 的 Vertex AI Platform、AutoML 以及自定义训练服务来 训练、评估、调优、解释和部署机器学习模型。 此技能徽章课程的目标受众是专业的数据科学家和机器学习 工程师。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您对 Google Cloud 产品与服务的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得此徽章。完成此技能徽章课程 和作为最终评估的实验室挑战赛，即可获得数字徽章， 在您的人际圈中炫出自己的技能。
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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。
技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。
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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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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。
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完成 Looker 使用入门技能徽章课程，赢取技能徽章， 在这门课程中，您将学习如何使用 Looker Studio 和 Looker 分析、直观呈现和整理数据。
Earn a skill badge by completing the Google Workspace for Education quest, where you learn about a set of familiar Google apps and services tailored for schools and homeschools to collaborate, streamline instruction, and keep online learning safe. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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完成部署和管理 Apigee X 技能徽章课程，即可赢取技能徽章。 您将学习 Apigee X 架构、如何在 Google Cloud 项目中预配 Apigee X 组织、使用 Apigee API 和界面管理 Apigee X， 以及使用 Cloud Armor 和 Apigee 威胁防护策略 保护 API。
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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。
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完成 云架构：设计、实施和管理课程，赢取技能徽章，展示您在以下方面的技能：使用 Apache Web 服务器部署可公开访问的网站；使用启动脚本配置 Compute Engine 虚拟机； 使用 Windows 堡垒主机和防火墙规则配置安全 RDP；构建 Docker 映像并将其部署到 Kubernetes 集群，然后进行更新；以及创建 CloudSQL 实例并导入 MySQL 数据库。 此技能徽章课程是非常有用的资源， 可帮助您理解 Google Cloud 认证 Professional Cloud Architect 认证考试中将会出现的主题。
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完成为 AWS 专业人员构建 Google Cloud 基础设施课程， 赢取技能徽章。在此课程中，您将学习如何配置 IAM 权限， 使用 Kubernetes 编排工作负载，使用 Compute Engine 托管 Web 应用， 以及配置负载均衡。
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Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
完成“创建和管理 Cloud SQL for PostgreSQL 实例”这一入门级的技能徽章课程，展示您在以下方面的技能： 迁移、配置和管理 Cloud SQL for PostgreSQL 实例及数据库。
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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。
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完成用 Database Migration Service 将 MySQL 数据迁移至 Cloud SQL 这一入门级的技能徽章课程，展示您在以下方面的技能： 使用 Database Migration Service 中提供的不同作业类型和连接选项，将 MySQL 数据迁移到 Cloud SQL； 以及在运行 Database Migration Service 作业时 迁移 MySQL 用户数据。
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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 Dataproc 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。
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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。
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在本入门级课程中，您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频， 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识，也能从中获得实践 经验，并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机，到在 Kubernetes Engine 上运行应用 或者使用负载均衡，“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。
Dialogue Design
Earned Apr 20, 2026 EDT
Works Meet Play: Skills Spawn
Earned Apr 16, 2026 EDT
Arcade Trail: Automation and Analytics
Earned Mar 31, 2026 EDT
Arcade Adventure: Security, Data, and Cloud Operations
Earned Mar 31, 2026 EDT
Arcade Base Camp March 2026
Earned Mar 30, 2026 EDT
Arcade Voyage: AI and Cloud Deployment
Earned Mar 29, 2026 EDT
Arcade March 2026 Sprint 4
Earned Mar 28, 2026 EDT
Work Meets Play: Metrics in Motion
Earned Mar 27, 2026 EDT
Arcade March 2026 Sprint 3
Earned Mar 27, 2026 EDT
Arcade March 2026 Sprint 2
Earned Mar 24, 2026 EDT
Arcade March 2026 Sprint 1
Earned Mar 14, 2026 EDT
Holi-istic Infrastructures
Earned Mar 10, 2026 EDT
Work Meets Play: Journeys Made Easy
Earned Mar 1, 2026 EST
Arcade Certification Zone February 2026
Earned Feb 28, 2026 EST
Arcade Base Camp February 2026
Earned Feb 28, 2026 EST
Skills At The Pitch
Earned Feb 26, 2026 EST
From Foundations To Wonders
Earned Feb 24, 2026 EST
Arcade February 2026 Sprint 4
Earned Feb 24, 2026 EST
Arcade Trail: Application Development
Earned Feb 22, 2026 EST
Arcade February 2026 Sprint 3
Earned Feb 22, 2026 EST
Arcade February 2026 Sprint 2
Earned Feb 7, 2026 EST
Arcade February 2026 Sprint 1
Earned Feb 4, 2026 EST
Work Meets Play: A Cloud That Cares
Earned Feb 1, 2026 EST
Google Skills Arcade Trivia January 2026 Week 2
Earned Jan 31, 2026 EST
Google Skills Arcade Trivia January 2026 Week 1
Earned Jan 31, 2026 EST
Level 3: Applied Generative AI
Earned Jan 31, 2026 EST
Level 2: Event-Driven Systems
Earned Jan 30, 2026 EST
Level 1: Compute, Storage and Monitoring
Earned Jan 30, 2026 EST
利用 Vertex AI 实现机器学习运维 (MLOps)：模型评估
Earned Jan 29, 2026 EST
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Jan 17, 2026 EST
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jan 16, 2026 EST
Build a Certification Study Guide: PMLE
Earned Nov 19, 2025 EST
在 Cloud Storage 上创建流式数据湖
Earned Nov 16, 2025 EST
使用 API Gateway 部署和保护无服务器 API
Earned Nov 15, 2025 EST
使用 Cloud Run Functions 构建无服务器应用
Earned Nov 11, 2025 EST
使用 Gemini 和 Streamlit 开发生成式 AI 应用
Earned Nov 10, 2025 EST
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Nov 8, 2025 EST
使用 Vertex AI 中的 Gemini API 探索生成式 AI
Earned Nov 8, 2025 EST
在 Vertex AI 中设计提示
Earned Nov 6, 2025 EST
使用 Gemini 和 Imagen 构建实用 AI 应用
Earned Nov 4, 2025 EST
Machine Learning Operations (MLOps): Getting Started
Earned Oct 27, 2025 EDT
使用 Apps 脚本和 AppSheet 进行开发
Earned Oct 24, 2025 EDT
使用 Google Cloud Speech API
Earned Oct 21, 2025 EDT
实现事件驱动的即时消息和自动化工作流
Earned Oct 20, 2025 EDT
在 Google Cloud 中管理 Kubernetes
Earned Oct 19, 2025 EDT
Eventarc 使用入门
Earned Oct 31, 2024 EDT
实现 Cloud Storage 和数据保护解决方案
Earned Oct 21, 2024 EDT
BigQuery 流式数据分析
Earned Oct 9, 2024 EDT
在 Google Cloud 上存储、处理和管理数据 - 命令行
Earned Oct 7, 2024 EDT
App Engine：三种开发方式
Earned Oct 7, 2024 EDT
在关联工作表中分析 BigQuery 数据
Earned Oct 4, 2024 EDT
在 Google Cloud 上存储、处理和管理数据 - 控制台
Earned Oct 2, 2024 EDT
Dataplex 使用入门
Earned Sep 30, 2024 EDT
Launching into Machine Learning
Earned Nov 21, 2023 EST
Google Cloud 上的 AI 和机器学习简介
Earned Nov 10, 2023 EST
构建安全的 Google Cloud 网络
Earned Nov 1, 2023 EDT
Build Custom Processors with Document AI [Deprecated]
Earned Nov 1, 2023 EDT
使用 Google Cloud Observability 进行监控和记录
Earned Nov 1, 2023 EDT
在 Google Cloud 上使用 TensorFlow 进行图片分类
Earned Nov 1, 2023 EDT
使用 Natural Language API 分析情感
Earned Oct 28, 2023 EDT
使用预训练 API 实现语音和语言解决方案
Earned Oct 28, 2023 EDT
Google Cloud 云计算基础知识
Earned Oct 27, 2023 EDT
使用 Google API 分析语音和语言
Earned Oct 27, 2023 EDT
在 Vertex AI 上构建和部署机器学习解决方案
Earned Oct 27, 2023 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI
Earned Oct 21, 2023 EDT
创建和管理 AlloyDB 实例
Earned Oct 17, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Oct 14, 2023 EDT
负责任的 AI 简介
Earned Oct 14, 2023 EDT
大型语言模型简介
Earned Oct 14, 2023 EDT
生成式 AI 简介
Earned Oct 14, 2023 EDT
在 Google Cloud 上使用 Machine Learning API
Earned Oct 13, 2023 EDT
Looker 使用入门
Earned Oct 5, 2023 EDT
创建和管理 Bigtable 实例
Earned Oct 4, 2023 EDT
用 Document AI 实现大规模自动数据采集
Earned Jul 8, 2023 EDT
用 Chrome 企业进阶版安全功能保护云中的数据流量
Earned Jul 8, 2023 EDT
Google Workspace for Education
Earned Jul 8, 2023 EDT
部署和管理 Apigee X
Earned Jul 8, 2023 EDT
在 Google Cloud 上实现 CI/CD 流水线
Earned Jul 3, 2023 EDT
云架构：设计、实施和管理
Earned Jun 26, 2023 EDT
为 AWS 专业人员构建 Google Cloud 基础设施
Earned Jun 25, 2023 EDT
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals
Earned Jun 22, 2023 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Jun 1, 2023 EDT
在 Google 表格中使用函数、公式和图表
Earned Apr 2, 2023 EDT
实现云协作和生产力工作流
Earned Apr 1, 2023 EDT
在 Looker 中管理数据模型
Earned Apr 1, 2023 EDT
创建和管理 Cloud Spanner 实例
Earned Apr 1, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Apr 1, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Apr 1, 2023 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Mar 31, 2023 EDT
在 Looker 中构建 LookML 对象
Earned Mar 31, 2023 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Mar 29, 2023 EDT
在 BigQuery 中执行预测性数据分析
Earned Mar 27, 2023 EDT
使用 BigQuery 构建数据仓库
Earned Mar 25, 2023 EDT
创建和管理 Cloud SQL for PostgreSQL 实例
Earned Mar 15, 2023 EDT
用 Google Data Cloud 共享数据
Earned Mar 11, 2023 EST
用 Database Migration Service 将 MySQL 数据迁移至 Cloud SQL
Earned Mar 9, 2023 EST
设置 Google Cloud 网络
Earned Mar 6, 2023 EST
开发 Google Cloud 网络
Earned Dec 3, 2022 EST
通过 BigQuery ML 创建机器学习模型
Earned Nov 28, 2022 EST
从 BigQuery 数据中挖掘数据洞见
Earned Nov 22, 2022 EST
为 Looker 信息中心和报告准备数据
Earned Nov 12, 2022 EST
为 Compute Engine 实现云负载均衡
Earned Nov 7, 2022 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Nov 3, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Oct 28, 2022 EDT
Google Cloud 基础知识
Earned Oct 9, 2022 EDT