Modernize Infrastructure and Applications with Google Cloud
Earned Nov 29, 2023 EST
Exploring Data Transformation with Google Cloud
Earned Nov 29, 2023 EST
Digital Transformation with Google Cloud
Earned Nov 29, 2023 EST
负责任的 AI 简介
Earned Nov 29, 2023 EST
生成式 AI 简介
Earned Nov 27, 2023 EST
大型语言模型简介
Earned Nov 27, 2023 EST
设置 Google Cloud 网络
Earned Sep 2, 2023 EDT
Qwiklabs Trivia August 2023
Earned Aug 28, 2023 EDT
用 Document AI 实现大规模自动数据采集
Earned Aug 24, 2023 EDT
API Gateway 使用入门
Earned Aug 23, 2023 EDT
在 Google 表格中使用函数、公式和图表
Earned Aug 23, 2023 EDT
用 Google Data Cloud 共享数据
Earned Aug 22, 2023 EDT
Pub/Sub 使用入门
Earned Aug 22, 2023 EDT
Dataplex 使用入门
Earned Aug 22, 2023 EDT
Cloud Run Functions：三种使用方式
Earned Aug 21, 2023 EDT
Cloud Storage 使用入门
Earned Aug 21, 2023 EDT
增强 BigLake 数据的元数据管理与数据发现能力
Earned Aug 21, 2023 EDT
在 Cloud Storage 上创建安全的数据湖
Earned Aug 21, 2023 EDT
使用 Google API 分析语音和语言
Earned Aug 21, 2023 EDT
Google Cloud 中的监控功能
Earned Aug 21, 2023 EDT
在 Google Cloud 中管理 Kubernetes
Earned Aug 20, 2023 EDT
通过 API 使用 Cloud Storage
Earned Aug 19, 2023 EDT
在 Looker 中管理数据模型
Earned Aug 19, 2023 EDT
保护 BigLake 数据
Earned Aug 19, 2023 EDT
创建和管理 Bigtable 实例
Earned Aug 18, 2023 EDT
Sensitive Data Protection 使用入门
Earned Aug 17, 2023 EDT
使用 Google Cloud Speech API
Earned Aug 17, 2023 EDT
使用 Natural Language API 分析情感
Earned Aug 17, 2023 EDT
Level 1: BigQuery ML, Cloud Architecture and Devops Skills
Earned Aug 17, 2023 EDT
用 Apps 脚本整合 BigQuery 数据和 Google Workspace
Earned Aug 7, 2023 EDT
Level 2: Apps Script and Networks
Earned Aug 7, 2023 EDT
Cloud Speech API：3 种使用方式
Earned Aug 6, 2023 EDT
用 Cloud Vision API 分析图片
Earned Aug 3, 2023 EDT
Level 3: GenAI
Earned Aug 3, 2023 EDT
Qwiklabs Trivia July 2023
Earned Jul 25, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 23, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Jul 17, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 17, 2023 EDT
Google Cloud 云计算基础知识
Earned Jul 12, 2023 EDT
Getting Started with Go on Google Cloud
Earned Jul 10, 2023 EDT
App Engine：三种开发方式
Earned Jul 8, 2023 EDT
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Jul 1, 2022 EDT
在 Google Cloud 上实施云安全基础措施
Earned Jun 29, 2022 EDT
在 Google Cloud 上使用 Machine Learning API
Earned Jun 29, 2022 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Jun 29, 2022 EDT
Cloud Healthcare API
Earned Jun 29, 2022 EDT
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned Jun 28, 2022 EDT
安全与身份基础知识
Earned Jun 28, 2022 EDT
Cloud Logging
Earned Jun 28, 2022 EDT
Advanced ML: ML Infrastructure
Earned Jun 28, 2022 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jun 27, 2022 EDT
Machine Learning APIs
Earned Jun 26, 2022 EDT
Intro to ML: Image Processing
Earned Jun 26, 2022 EDT
机器学习简介：语言处理
Earned Jun 26, 2022 EDT
基准：数据、机器学习和 AI
Earned Jun 26, 2022 EDT
使用 BigQuery 构建数据仓库
Earned Jun 26, 2022 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jun 26, 2022 EDT
通过 BigQuery ML 创建机器学习模型
Earned Jun 26, 2022 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Jun 26, 2022 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Jun 25, 2022 EDT
Scientific Data Processing
Earned Jun 25, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Jun 25, 2022 EDT
Cloud SQL
Earned Jun 25, 2022 EDT
[DEPRECATED] Data Engineering
Earned Jun 24, 2022 EDT
DEPRECATED Applied Data: Blockchain
Earned Jun 24, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Jun 24, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Jun 24, 2022 EDT
面向机器学习的 BigQuery
Earned Jun 23, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jun 22, 2022 EDT
在 Cloud Run 上开发无服务器应用
Earned Jun 22, 2022 EDT
借助 Firebase 开发无服务器应用
Earned Jun 22, 2022 EDT
在 Google Cloud 上构建网站
Earned Jun 22, 2022 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Jun 21, 2022 EDT
Google Cloud Run Serverless Workshop
Earned Jun 21, 2022 EDT
Build Apps & Websites with Firebase
Earned Jun 18, 2022 EDT
Workspace: Add-ons
Earned Jun 18, 2022 EDT
DEPRECATED IoT in the Google Cloud
Earned Jun 17, 2022 EDT
DEPRECATED Exploring APIs
Earned May 23, 2022 EDT
Baseline: Deploy & Develop
Earned May 18, 2022 EDT
Website on Google Cloud
Earned May 17, 2022 EDT
Cloud Development
Earned May 16, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned May 15, 2022 EDT
Google Developer Essentials
Earned May 13, 2022 EDT
使用 Google Cloud Observability 进行监控和记录
Earned May 12, 2022 EDT
云架构：设计、实施和管理
Earned May 12, 2022 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned May 11, 2022 EDT
开发 Google Cloud 网络
Earned May 11, 2022 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned May 11, 2022 EDT
构建安全的 Google Cloud 网络
Earned May 10, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned May 10, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned May 10, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned May 9, 2022 EDT
DEPRECATED Cloud Architecture
Earned May 9, 2022 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned May 9, 2022 EDT
了解自己的 Google Cloud 成本
Earned May 8, 2022 EDT
DevOps Essentials
Earned May 8, 2022 EDT
云工程
Earned May 8, 2022 EDT
在 Google Cloud 中使用 Kubernetes
Earned May 5, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned May 5, 2022 EDT
基准：基础架构
Earned May 5, 2022 EDT
Google Cloud 基础知识
Earned May 5, 2022 EDT
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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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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Welcome to Qwiklabs Trivia for August! 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 August badge.
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完成用 Document AI 实现大规模自动数据采集课程，赢取入门级技能徽章。在本课程中，您将学习如何使用 Document AI 提取、处理和采集数据。
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完成 API Gateway 使用入门技能徽章课程，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。
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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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完成用 Google Data Cloud 共享数据技能徽章课程，赢取技能 徽章。您将获得使用 Google Cloud 数据共享合作伙伴 的实操经验，这些合作伙伴拥有专有数据集， 客户可将其用于自己的分析应用场景。客户订阅这些数据集，可在自己的 平台上查询，然后使用自己的数据集加以扩充，并使用自己的可视化 工具，用于面向客户的信息中心。
完成 Sensitive Data Protection 使用入门 这一入门级技能徽章课程，展示您在以下方面的技能：使用 Sensitive Data Protection 服务 （包括 Cloud Data Loss Prevention API）来检查和隐去 Google Cloud 中的敏感数据，并对敏感数据进行去标识处理。
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完成 使用 Google Cloud Speech API这一技能徽章课程，赢取技能徽章。在此课程中，您将学习如何创建 Speech-to-Text API 请求、 将音频语音转写成文字，以及转写语音。
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完成使用 Natural Language API 分析情感挑战任务，赢取技能徽章 。在此过程中，您将学习如何使用 API 从文本中提取情感。
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The world around us is changing and mastering future-driven technologies is the key to success. We want you to get started by learning a little of everything! Discover machine learning in data analysis, build scalable cloud solutions and accelerate software development that will shape the future. The possibilities in the Arcade are endless and all of those will lead you towards earning your first Google Cloud Credential. No prior experience required.
For organisations to thrive in the digital world, it is important for them to have secured networks to protect sensitive data, prevent cyber threats and maintain customer trust. Learn the principles of network design, security and management and integrating BigQuery Data and Google Workspace using Apps Script. Gain hands-on experience with labs carefully designed to nurture and assess your tech skills and set you on a course to earn your first Google Cloud credential.
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完成 Cloud Speech API：3 种使用方式课程，赢取入门级技能徽章。 在本课程中，您将了解如何使用语音相关 API 工具来合成和转写语音。
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完成用 Cloud Vision API 分析图片课程，赢取技能徽章。在此挑战任务中，您将了解如何利用 Cloud Vision API 执行各种任务，包括从图片中提取文本。
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Recently, a McKinsey report found that Generative AI could add up to $4.4 trillion a year to the global economy, signaling an imminent surge in the demand for GenAI professionals. Now is the perfect time to get a head start and gain hands-on experience with Google Cloud's powerful GenAI tools and techniques, carefully designed to enhance your tech skills and set you on a promising course. Play now to be at the forefront of innovation, shaping the future with GenAI and earning your first Google Cloud GenAI game badge!
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Welcome to Qwiklabs Trivia for July! 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 July badge.
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The demand for data skills is growing rapidly, and we want you to get ahead! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. There are a lot of different aspects to any data role, so it's important to start with the basics - and we’ve got you covered. Learn how to tap into ML APIs, dive into your first data lake, and learn how the experts think about securing data. No experience required.
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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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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow by 22% over the next five years, much faster than the average for all occupations. Play now to get hands-on experience building with Google Cloud's powerful coding and infrastructure management tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.
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。
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完成在 Google Cloud 上使用 Machine Learning API 课程，赢取高级技能徽章。 在本课程中，您将了解以下机器学习和 AI 技术的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
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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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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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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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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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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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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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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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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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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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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。
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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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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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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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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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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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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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.
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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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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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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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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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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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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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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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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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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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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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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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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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.
完成构建安全的 Google Cloud 网络课程，赢取技能徽章。在此课程中，您将了解与网络有关的众多 资源，以便在 Google Cloud 上构建、扩缩和保护自己的应用。
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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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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.
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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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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本课程最适合担任技术或财务职务 且负责管理 Google Cloud 费用的人员。您将学习如何设置 结算账号、组织资源以及管理结算访问权限。 在实操实验中，您将学习如何查看账单、使用结算报告跟踪 Google Cloud 成本、使用 BigQuery 或 Google 表格分析结算数据， 以及使用 Looker Studio 创建自定义结算信息中心。视频中提及的链接 可以在此其他资源文档中查看。
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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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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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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.
Modernize Infrastructure and Applications with Google Cloud
Earned Nov 29, 2023 EST
Exploring Data Transformation with Google Cloud
Earned Nov 29, 2023 EST
Digital Transformation with Google Cloud
Earned Nov 29, 2023 EST
负责任的 AI 简介
Earned Nov 29, 2023 EST
生成式 AI 简介
Earned Nov 27, 2023 EST
大型语言模型简介
Earned Nov 27, 2023 EST
设置 Google Cloud 网络
Earned Sep 2, 2023 EDT
Qwiklabs Trivia August 2023
Earned Aug 28, 2023 EDT
用 Document AI 实现大规模自动数据采集
Earned Aug 24, 2023 EDT
API Gateway 使用入门
Earned Aug 23, 2023 EDT
在 Google 表格中使用函数、公式和图表
Earned Aug 23, 2023 EDT
用 Google Data Cloud 共享数据
Earned Aug 22, 2023 EDT
Pub/Sub 使用入门
Earned Aug 22, 2023 EDT
Dataplex 使用入门
Earned Aug 22, 2023 EDT
Cloud Run Functions：三种使用方式
Earned Aug 21, 2023 EDT
Cloud Storage 使用入门
Earned Aug 21, 2023 EDT
增强 BigLake 数据的元数据管理与数据发现能力
Earned Aug 21, 2023 EDT
在 Cloud Storage 上创建安全的数据湖
Earned Aug 21, 2023 EDT
使用 Google API 分析语音和语言
Earned Aug 21, 2023 EDT
Google Cloud 中的监控功能
Earned Aug 21, 2023 EDT
在 Google Cloud 中管理 Kubernetes
Earned Aug 20, 2023 EDT
通过 API 使用 Cloud Storage
Earned Aug 19, 2023 EDT
在 Looker 中管理数据模型
Earned Aug 19, 2023 EDT
保护 BigLake 数据
Earned Aug 19, 2023 EDT
创建和管理 Bigtable 实例
Earned Aug 18, 2023 EDT
Sensitive Data Protection 使用入门
Earned Aug 17, 2023 EDT
使用 Google Cloud Speech API
Earned Aug 17, 2023 EDT
使用 Natural Language API 分析情感
Earned Aug 17, 2023 EDT
Level 1: BigQuery ML, Cloud Architecture and Devops Skills
Earned Aug 17, 2023 EDT
用 Apps 脚本整合 BigQuery 数据和 Google Workspace
Earned Aug 7, 2023 EDT
Level 2: Apps Script and Networks
Earned Aug 7, 2023 EDT
Cloud Speech API：3 种使用方式
Earned Aug 6, 2023 EDT
用 Cloud Vision API 分析图片
Earned Aug 3, 2023 EDT
Level 3: GenAI
Earned Aug 3, 2023 EDT
Qwiklabs Trivia July 2023
Earned Jul 25, 2023 EDT
Level 2: Data Deep Dive
Earned Jul 23, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Jul 17, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 17, 2023 EDT
Google Cloud 云计算基础知识
Earned Jul 12, 2023 EDT
Getting Started with Go on Google Cloud
Earned Jul 10, 2023 EDT
App Engine：三种开发方式
Earned Jul 8, 2023 EDT
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Jul 1, 2022 EDT
在 Google Cloud 上实施云安全基础措施
Earned Jun 29, 2022 EDT
在 Google Cloud 上使用 Machine Learning API
Earned Jun 29, 2022 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Jun 29, 2022 EDT
Cloud Healthcare API
Earned Jun 29, 2022 EDT
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned Jun 28, 2022 EDT
安全与身份基础知识
Earned Jun 28, 2022 EDT
Cloud Logging
Earned Jun 28, 2022 EDT
Advanced ML: ML Infrastructure
Earned Jun 28, 2022 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jun 27, 2022 EDT
Machine Learning APIs
Earned Jun 26, 2022 EDT
Intro to ML: Image Processing
Earned Jun 26, 2022 EDT
机器学习简介：语言处理
Earned Jun 26, 2022 EDT
基准：数据、机器学习和 AI
Earned Jun 26, 2022 EDT
使用 BigQuery 构建数据仓库
Earned Jun 26, 2022 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jun 26, 2022 EDT
通过 BigQuery ML 创建机器学习模型
Earned Jun 26, 2022 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Jun 26, 2022 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Jun 25, 2022 EDT
Scientific Data Processing
Earned Jun 25, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Jun 25, 2022 EDT
Cloud SQL
Earned Jun 25, 2022 EDT
[DEPRECATED] Data Engineering
Earned Jun 24, 2022 EDT
DEPRECATED Applied Data: Blockchain
Earned Jun 24, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Jun 24, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Jun 24, 2022 EDT
面向机器学习的 BigQuery
Earned Jun 23, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jun 22, 2022 EDT
在 Cloud Run 上开发无服务器应用
Earned Jun 22, 2022 EDT
借助 Firebase 开发无服务器应用
Earned Jun 22, 2022 EDT
在 Google Cloud 上构建网站
Earned Jun 22, 2022 EDT
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Jun 21, 2022 EDT
Google Cloud Run Serverless Workshop
Earned Jun 21, 2022 EDT
Build Apps & Websites with Firebase
Earned Jun 18, 2022 EDT
Workspace: Add-ons
Earned Jun 18, 2022 EDT
DEPRECATED IoT in the Google Cloud
Earned Jun 17, 2022 EDT
DEPRECATED Exploring APIs
Earned May 23, 2022 EDT
Baseline: Deploy & Develop
Earned May 18, 2022 EDT
Website on Google Cloud
Earned May 17, 2022 EDT
Cloud Development
Earned May 16, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned May 15, 2022 EDT
Google Developer Essentials
Earned May 13, 2022 EDT
使用 Google Cloud Observability 进行监控和记录
Earned May 12, 2022 EDT
云架构：设计、实施和管理
Earned May 12, 2022 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned May 11, 2022 EDT
开发 Google Cloud 网络
Earned May 11, 2022 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned May 11, 2022 EDT
构建安全的 Google Cloud 网络
Earned May 10, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned May 10, 2022 EDT
DEPRECATED Google Cloud's Operations Suite
Earned May 10, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned May 9, 2022 EDT
DEPRECATED Cloud Architecture
Earned May 9, 2022 EDT
Google Cloud Solutions I: Scaling Your Infrastructure
Earned May 9, 2022 EDT
了解自己的 Google Cloud 成本
Earned May 8, 2022 EDT
DevOps Essentials
Earned May 8, 2022 EDT
云工程
Earned May 8, 2022 EDT
在 Google Cloud 中使用 Kubernetes
Earned May 5, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned May 5, 2022 EDT
基准：基础架构
Earned May 5, 2022 EDT
Google Cloud 基础知识
Earned May 5, 2022 EDT