Marcio Sugar
成为会员时间：2018
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Mar 9, 2026 EDT
在 Agent Platform 中设计提示
Earned Mar 9, 2026 EDT
负责任的 AI 简介
Earned Mar 1, 2026 EST
大型语言模型简介
Earned Feb 28, 2026 EST
生成式 AI 智能体：助力组织转型
Earned Feb 18, 2026 EST
生成式 AI 应用：改变工作方式
Earned Feb 18, 2026 EST
生成式 AI：全面了解生成式 AI
Earned Feb 17, 2026 EST
生成式 AI：剖析基本概念
Earned Feb 17, 2026 EST
生成式 AI：不只是聊天机器人
Earned Feb 16, 2026 EST
利用 Apigee X 开发和保护 API
Earned Sep 1, 2025 EDT
在 Google Cloud 上将应用与 Gemini 集成
Earned Aug 29, 2025 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Aug 29, 2025 EDT
Developing Containerized Applications on Google Cloud
Earned Aug 26, 2025 EDT
借助 Gemini Code Assist 简化应用开发
Earned Aug 25, 2025 EDT
Developing Applications with Cloud Run Functions on Google Cloud
Earned Aug 24, 2025 EDT
Service Orchestration and Choreography on Google Cloud
Earned Aug 23, 2025 EDT
Developing Applications with Google Cloud: Foundations
Earned Aug 23, 2025 EDT
Google Cloud 基础知识：核心基础设施
Earned Aug 8, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Feb 10, 2025 EST
在 Google App Engine 上部署和管理应用
Earned Jul 8, 2023 EDT
Looker 使用入门
Earned Jun 6, 2023 EDT
生成式 AI 简介
Earned Jun 5, 2023 EDT
在 Google 表格中使用函数、公式和图表
Earned May 9, 2023 EDT
Level 2: Data Exploration with Looker, BigQuery and Sheets
Earned May 9, 2023 EDT
在关联工作表中分析 BigQuery 数据
Earned May 6, 2023 EDT
为 Looker 信息中心和报告准备数据
Earned May 5, 2023 EDT
在 Google Cloud 上存储、处理和管理数据 - 命令行
Earned Apr 20, 2023 EDT
在 Google Cloud 上存储、处理和管理数据 - 控制台
Earned Apr 19, 2023 EDT
Level 1: Managing Resources and Data in the Cloud
Earned Apr 19, 2023 EDT
监控和管理 Google Cloud 资源
Earned Apr 16, 2023 EDT
Machine Learning APIs
Earned Apr 6, 2023 EDT
Terraform Init: An infrastructure challenge
Earned Mar 30, 2023 EDT
Retail Tech
Earned Feb 4, 2023 EST
创建和管理 Cloud SQL for PostgreSQL 实例
Earned Feb 1, 2023 EST
The Google Cloud Fly Cup
Earned Jan 28, 2023 EST
Qwiklabs Trivia January 2023
Earned Jan 27, 2023 EST
Intermediate ML: TensorFlow on Google Cloud
Earned Jan 17, 2023 EST
设置 Google Cloud 网络
Earned Jan 14, 2023 EST
机器学习简介：语言处理
Earned Jan 9, 2023 EST
New Year, New Skills: Yellow Challenge (A)
Earned Jan 8, 2023 EST
New Year, New Skills: Green Challenge (A)
Earned Jan 6, 2023 EST
DEPRECATED Cloud Architecture
Earned Dec 27, 2022 EST
Workspace: Add-ons
Earned Dec 26, 2022 EST
#GoogleClout Set 11 (10/10)
Earned Dec 26, 2022 EST
Managing Cloud Infrastructure with Terraform
Earned Dec 25, 2022 EST
在 Google Cloud 上实现 CI/CD 流水线
Earned Dec 25, 2022 EST
Creating Infrastructure on Google Cloud with Terraform
Earned Dec 24, 2022 EST
#GoogleClout Set 9 (8/10)
Earned Dec 17, 2022 EST
Sports Data Challenge
Earned Dec 17, 2022 EST
在 BigQuery 中执行预测性数据分析
Earned Dec 17, 2022 EST
Sports Analytics: Pitch Perfect BigQuery
Earned Dec 16, 2022 EST
用 Database Migration Service 将 MySQL 数据迁移至 Cloud SQL
Earned Jul 15, 2022 EDT
DevOps 基础知识
Earned Jul 15, 2022 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jul 9, 2022 EDT
[DEPRECATED] Data Engineering
Earned Jul 9, 2022 EDT
使用 BigQuery 构建数据仓库
Earned Jul 6, 2022 EDT
DevOps: A beautiful relationship
Earned Feb 15, 2022 EST
How Google Does Machine Learning
Earned Feb 14, 2022 EST
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals
Earned Feb 10, 2022 EST
在 Google Cloud 上构建网站
Earned Feb 1, 2022 EST
Learn to Earn Cloud Challenge: Data+
Earned Oct 11, 2021 EDT
Learn to Earn Cloud Challenge: Security
Earned Oct 11, 2021 EDT
Learn to Earn Cloud Challenge: Data
Earned Oct 10, 2021 EDT
Learn to Earn Cloud Challenge: Architecture
Earned Sep 19, 2021 EDT
Learn to Earn Cloud Challenge: Essentials
Earned Sep 18, 2021 EDT
Earth Day Speedrun 2021
Earned Jun 9, 2021 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Apr 17, 2021 EDT
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Feb 22, 2021 EST
借助 Firebase 开发无服务器应用
Earned Feb 15, 2021 EST
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Feb 13, 2021 EST
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Feb 13, 2021 EST
在 Google Cloud 上使用 Machine Learning API
Earned Feb 13, 2021 EST
DEPRECATED Creating with Google Maps
Earned Feb 13, 2021 EST
在 Google Cloud 上设置应用开发环境
Earned Feb 11, 2021 EST
在 Google Cloud 上部署 Kubernetes 应用
Earned Feb 10, 2021 EST
在 Google Cloud 中使用 Kubernetes
Earned Feb 9, 2021 EST
通过 BigQuery ML 创建机器学习模型
Earned Feb 8, 2021 EST
面向机器学习的 BigQuery
Earned Feb 8, 2021 EST
Baseline: Deploy & Develop
Earned Feb 7, 2021 EST
在 Cloud Run 上开发无服务器应用
Earned Jan 31, 2021 EST
Google Cloud Run Serverless Workshop
Earned Jan 31, 2021 EST
DEPRECATED BigQuery for Data Warehousing
Earned Jan 27, 2021 EST
开发 Google Cloud 网络
Earned Jan 17, 2021 EST
云工程
Earned Jan 6, 2021 EST
为 Compute Engine 实现云负载均衡
Earned Nov 11, 2020 EST
从 BigQuery 数据中挖掘数据洞见
Earned Sep 18, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 10, 2020 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Aug 19, 2020 EDT
基准：数据、机器学习和 AI
Earned Aug 14, 2020 EDT
Speedrun with Siblings
Earned Aug 13, 2020 EDT
基准：基础架构
Earned Aug 3, 2020 EDT
DEPRECATED BigQuery for Data Analysis
Earned Jul 24, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jul 18, 2020 EDT
Secure your Cloud
Earned Jun 6, 2020 EDT
Carnival Speedrun
Earned Mar 2, 2020 EST
Google Cloud 基础知识
Earned Nov 18, 2018 EST
随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。
本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。
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完成 在 Agent Platform 中设计提示入门技能徽章课程，展示以下方面的技能： Agent Platform 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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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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“生成式 AI 智能体：助力组织转型”是“Gen AI Leader”学习路线中的第五门课程，也是最后一门课程。本课程探讨了组织如何使用量身定制的生成式 AI 智能体，帮助应对特定的业务挑战。您将亲自动手构建一个基本的生成式 AI 智能体，并探索这些智能体的组成部分，例如模型、推理循环以及各种工具。
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“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。
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“生成式 AI：全面了解生成式 AI”是“Gen AI Leader”学习路线中的第三门课程。生成式 AI 正在改变我们的工作方式以及与世界的互动方式。作为领导者，应该如何利用生成式 AI 来推动实际业务成果？在本课程中，您将探索构建生成式 AI 解决方案的不同层级、Google Cloud 的产品/服务，以及选择解决方案时需要考虑的因素。
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生成式 AI：剖析基本概念是“Gen AI Leader”学习路线的第二门课程。在本课程中，您将探索 AI、机器学习和生成式 AI 之间的差异，了解各种数据类型如何赋能生成式 AI 来应对业务挑战，从而了解生成式 AI 的基本概念。您还将深入了解 Google Cloud 应对基础模型局限性的策略，以及负责任和安全的 AI 开发与部署面临哪些关键挑战。
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生成式 AI：不只是聊天机器人是 Gen AI Leader 学习路线的第一门课程，没有前提条件要求。本课程旨在带您超越对聊天机器人的浅层认知，深入挖掘生成式 AI 为您的组织带来的真正潜力。您将探索基础模型和提示工程等概念，它们对于利用生成式 AI 的强大功能至关重要。本课程还将提供指导，让您了解在为组织制定成功的生成式 AI 策略时，应考虑哪些重要因素。
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完成利用 Apigee X 开发和保护 API 这一技能徽章课程，赢取技能徽章。在此课程中，您将学习如何： 对您的 API 进行现代化改造；使用服务账号和 Google 身份验证安全地通过 Apigee API 代理访问后端服务； 利用 API 产品和开发者门户实现 API 产品化； 利用 API 密钥、OAuth、私有变量和故障处理等功能确保 API 的安全； 将 Apigee 与 Pub/Sub 及 Cloud Logging 等 Google Cloud 服务相集成； 以及调用 Natural Language API 和 Geocoding API 等 Google Cloud API。
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这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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本课程专为各个级别的开发者打造，您将学到 Gemini Code Assist 的核心特性和功能。Gemini Code Assist 依托 AI 技术，可协助您在 Google Cloud 上进行应用开发。从智能代码建议、自动补全、实时错误检测到重构辅助，您将发现 Gemini Code Assist 如何显著提升开发效率和代码质量，帮助您节省宝贵时间，专注于更具价值和趣味性的任务。
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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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。
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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。
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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。
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Description: According to IDC, by 2026, 7 PB of data will be generated per second globally. But what you *do* with the data is what matters. Data is the heart of digital transformation and offers incredible opportunities for organizations to accelerate the most strategic business outcomes, like revenue and productivity. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
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完成在关联工作表中分析 BigQuery 数据这一技能徽章课程，展示您能够使用关联工作表，在 Google 表格的电子表格中访问、分析、可视化并共享数十亿行 BigQuery 数据。
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完成为 Looker 信息中心和报告准备数据入门级技能徽章课程， 展现您在以下方面的技能：对数据进行过滤、排序和透视；将来自不同 Looker 探索的结果合并； 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。
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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 这一技能徽章课程中，您将使用 Cloud Storage 存储图片，使用 Cloud Functions 处理图片，并使用 Cloud Pub/Sub 将图片发送到另一款应用。
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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。
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More than 90% of IT leaders say they're looking to grow their cloud environments in the next several years, yet more than 80% of those same leaders identified a lack of skills as a barrier to growth. This means that tech skills (particularly cloud skills!) are in high demand. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential. No experience required.
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完成监控和管理 Google Cloud 资源这一入门级技能徽章课程，展示您在以下方面的技能：授予和撤消 IAM 权限； 安装 Monitoring 代理和 Logging 代理；创建、部署和测试事件驱动型 Cloud Run 函数。
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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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Ready to start building your world - er - cloud infrastructure? With Terraform, you can manage infrastructure as code, saving time and ensuring consistency. In today’s game, you’ll use Terraform to build, change, provision, and destroy infrastructure in increasingly complex scenarios, and add a few new skills to your toolkit. Terraform init!
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Technology has transformed the retail industry, and the transformation is not stopping. Want to see how to take advantage of the latest tech in your business? (Or job, or future job?) Play now and explore how Google Cloud helps retailers build better - better data, better apps, and better businesses. You'll get hands-on experience with BigQuery ML, Looker, Terraform, and concepts like site reliability. Earn the badge and you'll add one more Arcade point to your collection. Good luck!
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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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Take your Google cloud skills to new heights by joining this learning challenge, brought to you in partnership with the Drone Racing League. The Google Cloud Fly Cup Challenge, is a 3 stage developer focused competition to help boost cloud skills and drive innovation into the sport of Drone Racing, Using Google’s secure, reliable, and scalable cloud platform, participating developers will be able to utilize DRL’s race data, to predict race outcomes and provide tips and tricks to DRL Pilots to enhance their season performance, winning exclusive swag, prizes, and a chance to win an expenses-paid trip to the season finale of the DRL 2022-23 World Championship.
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Welcome to Qwiklabs Trivia for January! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the January badge.
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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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。
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众所周知，机器学习是发展最快的技术领域之一， Google Cloud Platform 在推动其发展方面发挥了重要作用。 GCP 提供了一系列 API，几乎可以满足任何机器学习作业的需求。在 本入门课程中，您将了解机器学习在语言处理方面的运用， 通过实操实验学习 如何从文本中提取实体，执行情感和语法分析，以及 使用 Speech-to-Text API 进行转写。
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New year, New skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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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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In this quest you will get hands-on experience writing infrastructure as code with Terraform.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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GOOOOAALLL! Get practical experience on the fundamentals of sports data science no matter who you're cheering for in this week's matches. Use BigQuery ML to train advanced models to predict goals and evaluate performance. Complete labs to learn new skills and earn the badge. No prior experience needed!
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完成中级技能徽章课程“在 BigQuery 中执行预测性数据分析”， 展示以下方面的技能：导入 CSV 和 JSON 文件，在 BigQuery 中创建数据集； 利用 BigQuery 的强大功能与精细的 SQL 分析概念，包括使用 BigQuery ML，根据足球比赛数据 来训练一个进球数预测模型，并评估世界杯进球的观赏性。
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In this introductory level Quest you will gain practical experience on the fundamentals of sports data science using BigQuery. Start your journey by creating a soccer dataset in BigQuery by importing CSV and JSON files. Harness the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on the soccer event data and evaluate the impressiveness of World Cup goals.
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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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通过 DevOps 获得 竞争优势。DevOps 是一种组织和文化运动，旨在加快软件交付速度， 提高服务可靠性，并在软件利益相关方之间 建立共享所有权。在本课程中，您将学习如何使用 Google Cloud 提高 软件交付能力，确保较高的速度、稳定性、可用性和安全性。 DevOps Research and Assessment 已加入 Google Cloud。您的团队表现如何？参加 这个包含 5 道选择题的测验，来一探究竟吧！
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完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理， 展示自己在以下方面的技能：利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线； 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流； 以及利用 BigQuery ML 构建机器学习模型。
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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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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。
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The goal of DevOps is to combine software development and IT operations into a holistic set of strategies and practices. Want to learn more about how the relationship works? Join a team and challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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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
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Welcome to the Learn To Earn Cloud Challenge data plus track! "The Google Cloud Certified Professional Data Engineer certification is associated with the highest paying salary in IT," according to the most recent Global Knowledge skills and salary report (published August 2021). Complete this game to earn the Data Plus game badge, and be eligible for a +bonus+ prize in the Learn to Earn Cloud Challenge. See "what's next" below for details and requirements; you’ll need to earn at least 2 additional challenge badges to qualify. You'll learn next-level data skills to add to your resume. Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge security track! These eight labs give you the keys to understanding GCP's powerful security suite. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Security game badge, and you'll be one step closer to collecting all four badges (see "what's next" below for more information).
Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge data track! These eight labs give you a deep dive into GCP's data universe. At the end of each lab, you'll have another in-demand skill to add to your list. Complete this game to earn the Data game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge architecture track! These eight labs give you a blueprint of GCP's building blocks. At the end of each lab, you'll have hands-on experience with another tool or service to add to your resume. Complete this game to earn the Architecture game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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Happy Earth day, gamers! Today's game is all about how to see the earth around us in new and different ways, using Machine Learning. Play today's game and get hands-on with some gnarly ML and TensorFlow use cases. Everyone who successfully completes the game will get 15 free Qwiklabs credits in their inbox, and the top 10 players will get a 30 day pass to the Google lab catalog. It's data science without the degree!
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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。
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Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. 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。
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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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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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In this quest you will use several tools available in Google Cloud to manipulate data and create a Google Map - map location details to find subway stations or a business; use geocoding and Apps Script to send an email of a map; visualize data on a customized map; and build a server-side proxy to create a map on a mobile device.
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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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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。
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Kubernetes 是最受欢迎的容器编排系统， Google Kubernetes Engine 专为支持 Google Cloud 中的托管式 Kubernetes 部署 而设计。在本高级课程中，您将亲自动手配置 Docker 映像、容器，并部署功能完备的 Kubernetes Engine 应用。 此课程将帮助您掌握在工作流中集成容器编排所需的 实用技能。 想要参加实操实验室挑战赛， 展示您的技能并检验所学知识？完成本课程后，不妨继续参与这项额外的 实验室挑战赛，赢得 Google Cloud 专属数字徽章。 该挑战赛位于在 Google Cloud 上部署 Kubernetes 应用课程的结尾处。
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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。
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想要仅使用 SQL 就能在几分钟内构建机器学习模型，而不是花费数小时？BigQuery 借助机器学习，数据分析师能够使用现有的 SQL 工具和技能创建、训练、评估机器学习模型，并使用这些模型进行预测， 从而实现机器学习的普及。在 本系列实验中，您将尝试不同的模型类型，并了解 如何构建出色的模型。
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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完成在 Cloud Run 上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：集成 Cloud Run 与 Cloud Storage 以管理数据， 使用 Cloud Run 和 Pub/Sub 设计弹性异步系统架构， 构建依托 Cloud Run 技术的 REST API 网关，以及在 Cloud Run 上构建和部署服务。
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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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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。
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在众多课程中，本入门课程独具特色。 这些实验经过精心设计，旨在让 IT 专业人员通过实践掌握 Google Cloud 认证 Associate Cloud Engineer 考核中的各项主题和服务内容。从 IAM 到网络组建和管理， 再到 Kubernetes Engine 部署，本课程将通过特定实验 检验您的 Google Cloud 知识掌握情况。请注意，虽然这些实操 实验有助于提升您的技能和能力，我们仍建议您同时查阅 考试指南和其他可用的备考资源。
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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。
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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”，展示您在以下方面的技能： 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误，以及通过连接到 BigQuery 数据在 Data Studio 中 创建报告。
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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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。
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大数据、机器学习和人工智能是当今计算领域的热门话题， 但这些领域的专业性很强，因而很难找到 入门资料。幸运的是，Google Cloud 在这些领域提供了方便用户使用的服务， 通过本入门级课程，您可以 开始学习使用 BigQuery、Cloud Speech API 和 Video Intelligence 等工具。
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Happy Siblings Day!! It's time to kindle your sibling rivalry and participate in today's Speedrun with Siblings. Challenge your siblings with some fun labs which will help in earning a Google Skill Badge!! All the best! May the best sibling win!.
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如果您是一位入门级云开发者， 在学习了“Google Cloud 基础知识”课程之后，想要寻求真正的实操机会，这门课程就是您的不二之选。您将获得宝贵的实操经验， 通过多个实验深入探索 Cloud Storage 以及 Monitoring 和 Cloud Functions 等其他关键应用服务。您将掌握一系列宝贵技能， 在 Google Cloud 的任何计划中，这些技能都能发挥作用。
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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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The move to public cloud services is underway, and requirements for cloud security are real. In today's game, get hands-on experience with the GCP security toolset. Learn to manage user access at scale, score your environment's security, and more. Bonus, three of these labs get you closer to earning the Security & Identity quest badge.
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The carnival is not yet over! Enjoy an extended carnival with this speedrun and get hands on training on Kubernetes. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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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。
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