Intro to ML: Language Processing
Earned Oct 15, 2020 EDT
Baseline: Data, ML, AI
Earned Oct 15, 2020 EDT
Kubernetes in Google Cloud
Earned Oct 15, 2020 EDT
Understand Your Google Cloud Costs
Earned Sep 24, 2020 EDT
Derive Insights from BigQuery Data
Earned Sep 18, 2020 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 11, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 9, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 8, 2020 EDT
Cloud Engineering
Earned Sep 8, 2020 EDT
基准：基础架构
Earned Sep 7, 2020 EDT
Google Developer Essentials
Earned Sep 2, 2020 EDT
Implement Load Balancing on Compute Engine
Earned Aug 31, 2020 EDT
基准：基础架构
Earned Aug 31, 2020 EDT
Google Cloud Essentials
Earned Aug 28, 2019 EDT
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of 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 language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Want extra help? 1-minute videos walk you through key concepts for each lab.
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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow. 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 the Deploy to Kubernetes in Google Cloud Quest to receive an exclusive Google Cloud digital badge.
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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。
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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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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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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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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 Associate Cloud Engineer 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.
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.
Intro to ML: Language Processing
Earned Oct 15, 2020 EDT
Baseline: Data, ML, AI
Earned Oct 15, 2020 EDT
Kubernetes in Google Cloud
Earned Oct 15, 2020 EDT
Understand Your Google Cloud Costs
Earned Sep 24, 2020 EDT
Derive Insights from BigQuery Data
Earned Sep 18, 2020 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 11, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 9, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 8, 2020 EDT
Cloud Engineering
Earned Sep 8, 2020 EDT
基准：基础架构
Earned Sep 7, 2020 EDT
Google Developer Essentials
Earned Sep 2, 2020 EDT
Implement Load Balancing on Compute Engine
Earned Aug 31, 2020 EDT
基准：基础架构
Earned Aug 31, 2020 EDT
Google Cloud Essentials
Earned Aug 28, 2019 EDT