利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Apr 9, 2021 EDT
[DEPRECATED] Data Engineering
Earned Apr 9, 2021 EDT
Cloud SQL
Earned Apr 9, 2021 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Apr 9, 2021 EDT
Scientific Data Processing
Earned Apr 9, 2021 EDT
机器学习简介：语言处理
Earned Apr 8, 2021 EDT
Use Machine Learning APIs on Google Cloud
Earned Apr 7, 2021 EDT
Machine Learning APIs
Earned Apr 6, 2021 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Apr 6, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Apr 6, 2021 EDT
Google Developer Essentials
Earned Apr 6, 2021 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Apr 6, 2021 EDT
Understand Your Google Cloud Costs
Earned Apr 6, 2021 EDT
开发 Google Cloud 网络
Earned Apr 5, 2021 EDT
云工程
Earned Apr 5, 2021 EDT
在 Google Cloud 中使用 Kubernetes
Earned Apr 4, 2021 EDT
构建安全的 Google Cloud 网络
Earned Apr 4, 2021 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 3, 2021 EDT
基准：基础架构
Earned Apr 3, 2021 EDT
在 Compute Engine 上实现负载均衡
Earned Apr 3, 2021 EDT
Google Cloud Essentials
Earned Apr 3, 2021 EDT
Hey there! You're invited to game on with the Arcade Trivia for December 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 December Trivia Week 4 badge!
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Tis snowing challenges heavily in the Arcade! Join the Arcade Snowdown Challenge and earn your latest Google Cloud credential! Take on hands-on labs like Traffic Blocklisting, Redacting Sensitive Data, and Cloud Logging & Monitoring. Secure your cloud with Audit Logs, Alerts, and Service Monitoring. Don’t let the snow slow you down—protect your cloud and boost your skills today!
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Now that you have found your seat as a Google Cloud Arcade Facilitator, it's time to claim your badge!
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完成 API Gateway 使用入门挑战任务，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 。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度。 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， 获得数字徽章，在您的人际圈中秀出自己的技能。
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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。 技能徽章是由 Google Cloud 颁发的专有数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度； 该课程会检验您在交互式实操环境中 运用所学知识的能力。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，并在您的圈子中秀一秀。
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Earn a skill badge by completing the Get Started with Cloud Storage quest, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket. 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.
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完成在 Google 表格中使用函数、公式和图表挑战任务，赢取技能徽章。 在这项中级挑战任务中，您将利用函数分析数据， 并通过图表直观呈现数据。您还将学习如何搜索、 验证、格式化和展示数据。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度。 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。完成此技能徽章挑战任务和作为最终评估的实验室挑战赛， 获得数字徽章，在您的人际圈中秀出自己的技能。
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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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.
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完成 BigQuery 流式数据分析挑战任务，赢取技能徽章 。在此挑战任务中，您将结合使用 Pub/Sub、Dataflow 和 BigQuery 来流式传输 数据以进行分析。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度。 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。完成此技能徽章课程和作为最终评估的实验室挑战赛， 获得相应的数字徽章，在您的人际圈中秀出自己的技能。
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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。
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Earn a skill badge by completing the Tag and Discover BigLake Data quest, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables. 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.
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.
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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Earn a skill badge by completing the App Engine: 3 ways quest, where you learn how to use App Engine with Python, Go, and PHP. 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.
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Earn a skill badge by completing the Use APIs to Work with Cloud Storage quest, where you learn how APIs work in Google, and how to use the Cloud Storage API specifically. 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.
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Earn a skill badge by completing the Secure BigLake Data quest, where you use IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables. 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。 技能徽章是一种专有数字徽章， 由 Google Cloud 颁发，旨在认可您已熟悉特定的 Google Cloud 产品与服务， 并在交互式实操环境中证明了运用所学知识 的能力。完成此技能徽章课程和作为最终评估的实验室挑战赛， 获得相应的数字徽章，在您的人际圈中秀出自己的技能。
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With each passing day, Generative AI becomes more integral, offering fresh perspectives and transformative possibilities. We invite you to join us and see for yourself how Gen AI shapes tomorrow and be a part of it by gaining hands-on experience with Google Cloud’s powerful Gen AI tools and techniques and earn your first Google Cloud Gen AI credential!
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Security stands as a linchpin for the uninterrupted flow of business activities. The imperative for effective monitoring and security measures makes proficiency in these skills a surefire pathway to a successful career in the cloud. Become a Cloud Guardian, entrusted with the protection of businesses and their digital assets. Gain hands-on experience with the powerful security tools and techniques offered by Google Cloud and secure your first Google Cloud Credential!
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Today, cloud adoption is skyrocketing, propelling the demand for cloud-savvy professionals to newer heights. It is time for you to position yourself at the forefront of this sought-after talent pool and elevate your marketability by acquiring your first Google Cloud Credential—an invaluable asset that emphasizes your expertise. And the best part? -No prior experience is needed for you to game on!
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Hey there! You're invited to game on with Qwiklabs Trivia for December 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December week 4 badge!
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Hey there! You're invited to game on with Qwiklabs Trivia for December 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December week 3 badge!
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Hey there! You're invited to game on with Qwiklabs Trivia for December 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December week 2 badge!
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Hey there! You're invited to game on with Qwiklabs Trivia for December 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December week 1 badge!
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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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，即可获得技能徽章，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 Share Data Using Google Data Cloud course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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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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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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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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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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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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Welcome to the Google Cloud Arcade Facilitators Program 2023. Congratulations on being one of the first Arcade Facilitators! Here is the first step towards being a Arcade Facilitator, earn the Facilitator badge! Complete this quest to get to the next steps of this program.
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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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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform 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 at scale and how to employ the advanced ML infrastructure available on Google Cloud.
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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
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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。 技能徽章是 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度； 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。完成此技能徽章课程和作为最终评估的实验室挑战赛， 获得数字徽章，在您的人际圈中炫出自己的技能。
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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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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.
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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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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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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度。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，获得技能徽章， 并在您的社交圈中秀一秀自己的成就。
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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。 技能徽章 是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能 徽章课程和作为最终评估的实验室挑战赛，获得技能徽章， 在您的人际圈中炫出自己的技能。
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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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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. 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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能 徽章课程和作为最终评估的实验室挑战赛，获得技能徽章， 在您的人际圈中炫出自己的技能。
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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.
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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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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Cloud Logging is a fully managed service that performs at scale. It can ingest application and system log data from thousands of VMs and, even better, analyze all that log data in real time. In this fundamental-level Quest, you learn how to store, search, analyze, monitor, and alert on log data and events from Google Cloud. The labs in the Quest give you hands-on practice using Cloud Logging to maximize your learning experience and provide insight on how you can use Cloud Logging to your own Google Cloud environment.
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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 hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
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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 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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可您在 Google Cloud 产品与服务方面的熟练度； 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。完成此技能徽章课程和作为最终评估的实验室挑战赛， 获得技能徽章，在您的人际圈中炫出自己的技能。
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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：利用 Cloud Source Repositories 创建 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。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能 徽章课程和作为最终评估的实验室挑战赛，获得技能徽章， 在您的人际圈中炫出自己的技能。
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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。 技能徽章 是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能 徽章课程和作为最终评估的实验室挑战赛，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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安全是 Google Cloud 服务绝不妥协的核心原则，为此， Google Cloud 开发了特定工具，为您的所有项目提供 安全与身份保障。本入门课程中，您将了解 用于管理用户和虚拟机账号的 Google Cloud Identity and Access Management (IAM) 服务 并进行实操练习。您还将通过 配置 VPC 和 VPN 获取网络安全方面的实践经验，并了解有哪些工具可用于 抵御安全威胁和防止数据泄露。
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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。 技能徽章是由 Google Cloud 颁发的专有数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能 徽章课程和作为最终评估的实验室挑战赛，即可获得技能徽章， 并在您的社交圈中秀一秀自己的能力。
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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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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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。 技能徽章是由 Google Cloud 颁发的专有数字徽章，旨在认可您在 Google Cloud 产品与服务方面的熟练度； 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。 完成此技能徽章课程和作为最终评估的实验室挑战赛，获得技能徽章，在您的人际圈中炫出自己的技能。
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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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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. 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, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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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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Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
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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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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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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 Looker Studio 中 创建报告。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度。 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， 获得技能徽章，在您的人际圈中炫出自己的技能。
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
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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。 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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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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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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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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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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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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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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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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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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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.
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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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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。 技能徽章是 由 Google Cloud 颁发的专有数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能徽章课程和 作为最终评估的实验室挑战赛，即可获得技能徽章，并在您的社区圈中秀一秀 自己的水平。
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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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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。 技能徽章是由 Google Cloud 颁发的专有数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；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，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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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。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度；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。完成此技能徽章课程和作为最终评估的实验室挑战赛，获得技能徽章，在您的人际圈中炫出自己的技能。
The Arcade Trivia December 2024 Week 4
Earned Dec 24, 2024 EST
Arcade Snowdown
Earned Dec 23, 2024 EST
Trust and Security with Google Cloud
Earned Aug 1, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Aug 1, 2024 EDT
Google Cloud Arcade Facilitator Program 2024
Earned Jul 17, 2024 EDT
API Gateway 使用入门
Earned Dec 21, 2023 EST
设置 Google Cloud 网络
Earned Dec 21, 2023 EST
Get Started with Cloud Storage
Earned Dec 21, 2023 EST
在 Google 表格中使用函数、公式和图表
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DEPRECATED Networking Fundamentals on Google Cloud
Earned Dec 21, 2023 EST
BigQuery 流式数据分析
Earned Dec 21, 2023 EST
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Earned Dec 20, 2023 EST
Tag and Discover BigLake Data
Earned Dec 20, 2023 EST
Analyze BigQuery Data in Connected Sheets
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Get Started with Eventarc
Earned Dec 20, 2023 EST
App Building with AppSheet
Earned Dec 20, 2023 EST
App Engine: 3 Ways
Earned Dec 20, 2023 EST
Use APIs to Work with Cloud Storage
Earned Dec 20, 2023 EST
Secure BigLake Data
Earned Dec 20, 2023 EST
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Earned Dec 19, 2023 EST
Pub/Sub 使用入门
Earned Dec 19, 2023 EST
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Earned Dec 19, 2023 EST
Google Cloud 云计算基础知识
Earned Dec 19, 2023 EST
Level 3: GenAIus Chatbots
Earned Dec 19, 2023 EST
Level 2: Cloud Security
Earned Dec 19, 2023 EST
Level 1: CI/CD Pipelines
Earned Dec 19, 2023 EST
Qwiklabs Trivia December 2023 Week 4
Earned Dec 15, 2023 EST
Qwiklabs Trivia December 2023 Week 3
Earned Dec 14, 2023 EST
Qwiklabs Trivia December 2023 Week 2
Earned Dec 6, 2023 EST
Qwiklabs Trivia December 2023 Week 1
Earned Dec 6, 2023 EST
Dataplex 使用入门
Earned Nov 19, 2023 EST
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Earned Nov 19, 2023 EST
Share Data Using Google Data Cloud
Earned Nov 15, 2023 EST
Classify Images with TensorFlow on Google Cloud
Earned Nov 15, 2023 EST
Generative AI Fundamentals - 简体中文
Earned Nov 14, 2023 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Nov 3, 2023 EDT
Scaling with Google Cloud Operations
Earned Nov 3, 2023 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Nov 3, 2023 EDT
Exploring Data Transformation with Google Cloud
Earned Nov 3, 2023 EDT
Digital Transformation with Google Cloud
Earned Nov 3, 2023 EDT
负责任的 AI 简介
Earned Nov 3, 2023 EDT
生成式 AI 简介
Earned Nov 3, 2023 EDT
大型语言模型简介
Earned Nov 3, 2023 EDT
Google Cloud Arcade Facilitators 2023
Earned Jul 5, 2023 EDT
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Jun 28, 2022 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Apr 21, 2022 EDT
Advanced ML: ML Infrastructure
Earned Apr 20, 2022 EDT
Cloud Healthcare API
Earned Apr 20, 2022 EDT
使用 BigQuery 构建数据仓库
Earned Apr 11, 2022 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Apr 5, 2022 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Apr 5, 2022 EDT
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned Apr 5, 2022 EDT
Intro to ML: Image Processing
Earned Apr 2, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Mar 31, 2022 EDT
在 Cloud Run 上开发无服务器应用
Earned Mar 31, 2022 EDT
借助 Firebase 开发无服务器应用
Earned Mar 31, 2022 EDT
Google Cloud Run Serverless Workshop
Earned Mar 30, 2022 EDT
Build Apps & Websites with Firebase
Earned Mar 30, 2022 EDT
使用 Google Cloud Observability 进行监控和记录
Earned Mar 30, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned Mar 29, 2022 EDT
通过 BigQuery ML 创建机器学习模型
Earned Apr 15, 2021 EDT
Cloud Logging
Earned Apr 15, 2021 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Apr 14, 2021 EDT
Cloud Development
Earned Apr 14, 2021 EDT
DEPRECATED IoT in the Google Cloud
Earned Apr 14, 2021 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Apr 13, 2021 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Apr 13, 2021 EDT
云架构：设计、实施和管理
Earned Apr 13, 2021 EDT
安全与身份基础知识
Earned Apr 12, 2021 EDT
在 Google Cloud 上实施云安全基础措施
Earned Apr 12, 2021 EDT
DevOps Essentials
Earned Apr 12, 2021 EDT
DEPRECATED Cloud Architecture
Earned Apr 12, 2021 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Apr 12, 2021 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
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Website on Google Cloud
Earned Apr 11, 2021 EDT
Build a Website on Google Cloud
Earned Apr 11, 2021 EDT
Baseline: Deploy & Develop
Earned Apr 10, 2021 EDT
DEPRECATED Exploring APIs
Earned Apr 10, 2021 EDT
Workspace: Add-ons
Earned Apr 10, 2021 EDT
基准：数据、机器学习和 AI
Earned Apr 10, 2021 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Apr 10, 2021 EDT
面向机器学习的 BigQuery
Earned Apr 10, 2021 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Apr 10, 2021 EDT
DEPRECATED Applied Data: Blockchain
Earned Apr 9, 2021 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Apr 9, 2021 EDT
[DEPRECATED] Data Engineering
Earned Apr 9, 2021 EDT
Cloud SQL
Earned Apr 9, 2021 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Apr 9, 2021 EDT
Scientific Data Processing
Earned Apr 9, 2021 EDT
机器学习简介：语言处理
Earned Apr 8, 2021 EDT
Use Machine Learning APIs on Google Cloud
Earned Apr 7, 2021 EDT
Machine Learning APIs
Earned Apr 6, 2021 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Apr 6, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Apr 6, 2021 EDT
Google Developer Essentials
Earned Apr 6, 2021 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned Apr 6, 2021 EDT
Understand Your Google Cloud Costs
Earned Apr 6, 2021 EDT
开发 Google Cloud 网络
Earned Apr 5, 2021 EDT
云工程
Earned Apr 5, 2021 EDT
在 Google Cloud 中使用 Kubernetes
Earned Apr 4, 2021 EDT
构建安全的 Google Cloud 网络
Earned Apr 4, 2021 EDT
在 Google Cloud 上设置应用开发环境
Earned Apr 3, 2021 EDT
基准：基础架构
Earned Apr 3, 2021 EDT
在 Compute Engine 上实现负载均衡
Earned Apr 3, 2021 EDT
Google Cloud Essentials
Earned Apr 3, 2021 EDT