NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 18, 2020 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Sep 18, 2020 EDT
基准：数据、机器学习和 AI
Earned Sep 18, 2020 EDT
DevOps 基础知识
Earned Sep 16, 2020 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Sep 15, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 15, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 15, 2020 EDT
在 Google Cloud 中使用 Kubernetes
Earned Sep 14, 2020 EDT
云工程
Earned Sep 14, 2020 EDT
基准：基础架构
Earned Aug 24, 2020 EDT
Google Cloud 基础知识
Earned Aug 22, 2020 EDT
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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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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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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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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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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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！
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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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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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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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。
Google Developer Essentials
Earned Oct 10, 2020 EDT
DEPRECATED Applied Data: Blockchain
Earned Sep 18, 2020 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 18, 2020 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Sep 18, 2020 EDT
基准：数据、机器学习和 AI
Earned Sep 18, 2020 EDT
DevOps 基础知识
Earned Sep 16, 2020 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Sep 15, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 15, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 15, 2020 EDT
在 Google Cloud 中使用 Kubernetes
Earned Sep 14, 2020 EDT
云工程
Earned Sep 14, 2020 EDT
基准：基础架构
Earned Aug 24, 2020 EDT
Google Cloud 基础知识
Earned Aug 22, 2020 EDT