Google Cloud에서 Terraform으로 인프라 빌드
Earned 10월 25, 2022 EDT
Google Sheets에서 함수, 수식, 차트 사용하기
Earned 10월 25, 2022 EDT
Diwali Game 3: Flowers and Flutter
Earned 10월 25, 2022 EDT
Qwiklabs Trivia October 2022
Earned 10월 24, 2022 EDT
Diwali Game 2: Lanterns and Looker
Earned 10월 24, 2022 EDT
Diwali Game 1: Rangoli and Google Sheets
Earned 10월 23, 2022 EDT
Take your Google cloud skills to new heights by joining this learning challenge, brought to you in partnership with the Drone Racing League. The Google Cloud Fly Cup Challenge, is a 3 stage developer focused competition to help boost cloud skills and drive innovation into the sport of Drone Racing, Using Google’s secure, reliable, and scalable cloud platform, participating developers will be able to utilize DRL’s race data, to predict race outcomes and provide tips and tricks to DRL Pilots to enhance their season performance, winning exclusive swag, prizes, and a chance to win an expenses-paid trip to the season finale of the DRL 2022-23 World Championship.
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Welcome to Qwiklabs Trivia for December! 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 December badge.
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Discover the ease of an integrated multi-cloud database with data services that simplify database deployment and management. Get practical experience using MongoDB Atlas on Google Cloud and unlock the power of a flexible document data model that makes data easier to work with in a global, scalable, fully-managed, and elastic service. Come expecting to learn, Building a Cloud Run application that leverages Atlas App Services to call Cloud Natural Language Processing and carry out sentiment analysis, Running a MongoDB Database in Kubernetes with StatefulSets and Ingesting New Datasets into BigQuery
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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A CI/CD pipeline automates your software delivery process. That means it can build code, run tests, and deploy safely. Especially useful when some (or most!) of your team is enjoying a holiday. Learn how Google Cloud can help you automate your processes, just in time for a hot chocolate break.
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Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
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Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
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Welcome to "CCAI Operations and Implementation", the fourth course in the "Customer Experiences with Contact Center AI" series. In this course, learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale. In this course, you'll be introduced to Agent Assist and the technology it uses so you can delight your customers with the efficiencies and accuracy of services provided when customers require human agents, connectivity protocols, APIs, and platforms which you can use to create an integration between your virtual agent and the services already established for your business, Dialogflow's Environment Management tool for deployment of different versions of your virtual agent for various purposes, compliance measures and regulations you should be aware of when bringing your virtual agent to production, and you'll be given tips from virtua…
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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically.
In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document.
You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more.
You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents.
Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents.
We will review a few of the G…
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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device.
In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive.
Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content.
Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned.
You’ll also explore ways to ensure consistency and save time…
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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace.
With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required.
Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically.
You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.
Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet.
Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…
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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar.
You will understand when to apply different event types such as tasks and appointment schedules.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working.
During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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This course, Smart Analytics, Machine Learning, and AI on Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Smart Analytics, Machine Learning, and AI on Google Cloud.
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
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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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Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn to use additional features of Dialogflow ES for your virtual agent, create a Firestore instance to store customer data, and implement cloud functions that access the data. With the ability to read and write customer data, learner’s virtual agents are conversationally dynamic and able to defer contact center volume from human agents. You'll be introduced to methods for testing your virtual agent and logs which can be useful for understanding issues that arise. Lastly, learn about connectivity protocols, APIs, and platforms for integrating your virtual agent with services already established for your business.
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Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
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이 과정에서는 데이터-AI 수명 주기를 지원하는 Google Cloud 빅데이터 및 머신러닝 제품과 서비스를 소개합니다. Google Cloud에서 Vertex AI를 사용하여 빅데이터 파이프라인 및 머신러닝 모델을 빌드하는 프로세스, 문제점 및 이점을 살펴봅니다.
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이 과정에서는 우수사례를 중심으로 ML 워크플로에 대한 실질적인 접근 방식을 취합니다. ML팀은 다양한 ML 비즈니스 요구사항과 사용 사례에 직면합니다. 팀에서는 데이터 관리 및 거버넌스에 필요한 도구를 이해하고 가장 효과적으로 데이터 전처리에 접근하는 방식을 파악해야 합니다.
두 가지 사용 사례를 위한 ML 모델을 빌드하는 세 가지 옵션이 팀에 제시됩니다. 이 과정에서는 목표를 달성하기 위해 AutoML, BigQuery ML 또는 커스텀 학습을 사용하는 이유를 설명합니다.
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This on-demand course equips students to understand, configure, and maintain
multi-cluster Kubernetes infrastructures using Anthos GKE, and Istio-based
service mesh, whether deployed with Anthos on Google Cloud or with Anthos
deployed on VMware.
This is the third, and final, course of the Architecting Hybrid Cloud
Infrastructure with Anthos series.
Completion of the Architecting with Google Kubernetes Engine path is a
prerequisite for this course.
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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Course three of the Anthos series prepares students to run Anthos in a customer’s on-premises environment, on bare metal.Through presentations and hands-on labs, participants explore deploying and running Anthos applications on bare metal, creating the Anthos infrastructure, deploying applications, and performing monitoring, logging, and tracing. This course is a continuation of course two, Cloud Operations and Service Mesh with Anthos, and assumes direct experience with the topics covered in that course.
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Course one of the Architecting Hybrid Cloud with Anthos series introduces participants to manage multi-cloud and hybrid Kubernetes deployments using Anthos. Through presentations and hands-on labs, participants explore planning and creating Anthos environments and building manageable and reliable multi-cluster Kubernetes infrastructure environments centered around Anthos and containers. This course is a continuation of Architecting with GKE and assumes direct experience with the technologies covered in that course.
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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
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Welcome to Qwiklabs Trivia for November! 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 November badge.
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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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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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중급 Cloud Run 기반 서버리스 애플리케이션 개발 기술 배지 과정을 완료하여 데이터 관리를 위한 Cloud Run과 Cloud Storage의 통합, Cloud Run 및 Pub/Sub를 사용하는 복원력 높은 비동기 시스템 설계, Cloud Run 기반 REST API 게이트웨이 구축, Cloud Run 기반 서비스 빌드 및 배포와 관련된 기술 역량을 입증하세요.
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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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Google Cloud에서 웹사이트 빌드 기술 배지 과정을 완료하고 입문 기술 배지를 획득하세요. 이 과정은 Get Cooking in Cloud 시리즈를 기반으로 하며 다음 내용을 다룹니다. Cloud Run에 웹사이트 배포Compute Engine에 웹 앱 호스팅Google Kubernetes Engine에 웹사이트 생성, 배포, 확장Cloud Build를 사용하여 모놀리식 애플리케이션에서 마이크로서비스 아키텍처로 마이그레이션
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Google Cloud 컴퓨팅 기초 과정은 클라우드 컴퓨팅에 대한 배경지식 또는 경험이 거의 없는 개인을 대상으로 합니다. 이 과정은 클라우드 기본사항, 빅데이터, 머신러닝에 대한 핵심 개념을 간략히 설명하고 Google Cloud의 적용 위치 및 방식에 대한 개요를 제공합니다.
일련의 과정을 마친 학습자는 이러한 개념을 명확하게 설명하고 몇 가지 실무 기술 역량을 입증할 수 있게 됩니다.
과정은 다음 순서대로 완료해야 합니다.
1. Google Cloud 컴퓨팅 기초: 클라우드 컴퓨팅 기초
2. Google Cloud 컴퓨팅 기초: Google Cloud의 인프라
3. Google Cloud 컴퓨팅 기초: Google Cloud의 네트워킹 및 보안
4. Google Cloud 컴퓨팅 기초: Google Cloud의 데이터, 머신러닝, AI
첫 번째 과정에서는 클라우드 컴퓨팅, Google Cloud 사용 방법, 다양한 컴퓨팅 옵션에 대한 개요를 제공합니다.
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Vertex AI에서 머신러닝 솔루션 빌드 및 배포하기 과정을 완료하여 중급 기술 배지를 획득하세요. 이 과정에서는 Google Cloud의 Vertex AI Platform, AutoML, 커스텀 학습 서비스를 사용해 머신러닝 모델을 학습, 평가, 조정, 설명, 배포하는 방법을 알아봅니다. 이 기술배지 과정은 전문 데이터 과학자 및 머신러닝 엔지니어를 대상으로 합니다. 기술 배지는 Google Cloud 제품 및 서비스 숙련도에 따라 Google Cloud에서 독점적으로 발급하는 디지털 배지로, 기술 배지 과정을 통해 대화형 실습 환경에서 지식을 적용하는 역량을 테스트할 수 있습니다. 이 기술 배지 과정과 최종 평가 챌린지 실습을 완료하면 네트워크에 공유할 수 있는 디지털 배지를 받게 됩니다.
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이 과정은 Google Cloud 기본 개념 과정 이상의 지식을 얻기 위해 실무형 실습을 찾는 초보 클라우드 개발자에게 도움이 됩니다. 실습을 통해 Cloud Storage와 Monitoring 및 Cloud Functions 등 기타 주요 애플리케이션 서비스를 자세히 살펴보며 실무 경험을 쌓게 됩니다. 모든 Google Cloud 이니셔티브에 적용할 수 있는 유용한 기술을 개발할 수 있습니다.
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이 과정은 Google Cloud 비용 관리를 담당하는 기술 또는 재무 관련 직무에 적합합니다. 결제 계정 설정 방법, 리소스 정리 방법, 결제 액세스 권한 관리 방법을 알아봅니다. 실무형 실습에서는 인보이스를 보는 방법, Billing 보고서를 통해 Google Cloud 비용을 추적하는 방법, BigQuery 또는 Google Sheets를 사용하여 결제 데이터를 분석하는 방법, Looker Studio를 사용하여 커스텀 결제 대시보드를 만드는 방법을 살펴봅니다. 동영상의 참조 링크는 이 추가 리소스 문서에서 액세스할 수 있습니다.
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In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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초급 Looker에서 LookML 객체 빌드 기술 배지 과정을 완료하여 새로운 측정기준 및 측정값, 뷰, 파생 테이블을 빌드하고, 요구사항에 따라 측정 필터 및 유형을 설정하고, 측정기준과 측정값을 업데이트하고, Explore를 빌드 및 미세 조정하고, 기존 Explore에 뷰를 조인하고, 비즈니스 요구사항에 따라 생성할 LookML 객체를 결정하는 기술 역량을 입증할 수 있습니다.
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This course introduces you to the fundamentals of no-code application development and the capabilities offered by Google Cloud's AppSheet. AppSheet helps in digitizing and automating manual or paper-based business processes to turn them into mobile and web apps.
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중급 Firebase로 서버리스 앱 개발 기술 배지 과정을 완료하여 Firebase를 사용한 서버리스 웹 애플리케이션 설계 및 빌드, 데이터베이스 관리에 Firestore 활용, Cloud Build를 사용하여 배포 프로세스 자동화, 애플리케이션에 Google 어시스턴트 기능 통합 등에 관한 기술을 입증하세요.
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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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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
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Moving to the cloud can be scary. You don’t have to do it alone! Google Cloud partners are here to help. Join the challenge and get hands-on experience with how the partner ecosystem can help clear the creepy fog and light your way.
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중급 BigQuery ML로 ML 모델 만들기 기술 배지 과정을 완료하면 BigQuery ML로 머신러닝 모델을 만들고 평가하여 데이터 예측을 수행하는 기술 역량을 입증할 수 있습니다.
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Why celebrate Diwali with firecrackers when you can use Firebase? Learn how to import data into a Firestore database, create a build pipeline with Cloud Build to automate deployments, and build a Google Assistant application. Earn the badge for an arcade point and get one step closer to your swag goal. (OK fine, firecrackers are fun too.)
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이 과정은 Associate Cloud Engineer 시험을 체계적으로 준비하는 데 도움이 됩니다. 시험에서 다루는 Google Cloud의 영역과 학습자의 영역별 지식을 향상하기 위한 학습 계획을 수립하는 방법을 알아봅니다.
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Google Cloud 네트워크 개발 과정을 완료하고 기술 배지를 획득하세요. 이 과정에서는 IAM 역할 탐색 및 프로젝트 액세스 권한 추가/삭제, VPC 네트워크 생성, Compute Engine VM 배포 및 모니터링, SQL 쿼리 작성, Compute Engine에서 VM 배포 및 모니터링, Kubernetes를 여러 배포 접근 방식과 함께 사용하여 애플리케이션을 배포하는 등의 다양한 애플리케이션 배포 및 모니터링 방법을 배울 수 있습니다.
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초급 Compute Engine에서 Cloud Load Balancing 구현하기 기술 배지 과정을 완료하여 Compute Engine에서 가상 머신 만들기 및 배포, 네트워크 및 애플리케이션 부하 분산기 구성과 관련된 기술 역량을 입증하세요.
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중급 Google Cloud에서 Terraform으로 인프라 빌드 기술 배지 과정을 완료하여 Terraform을 사용하는 코드형 인프라(IaC) 원칙, Terraform 구성으로 Google Cloud 리소스 프로비저닝 및 관리, 효과적인 상태 관리(로컬 및 원격), 재사용성 및 구성을 위한 Terraform 코드 모듈화 등에 관한 기술을 입증하세요.
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중급 Google Sheets에서 함수, 수식, 차트 사용하기 기술 배지 과정을 완료하여 함수로 데이터 분석하는 방법, 차트를 사용한 데이터 시각화 방법, 데이터를 검증, 형식 지정, 표시하는 방법에 대한 기술 역량을 입증하세요.
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Are you feeling the festive vibes? Add some Flutter to your flowers when you join this game. Get hands-on experience with Flutter - Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Earn the badge for an arcade point and get one step closer to your swag goal. Bonus- You’ll also earn the Flutter Essentials badge!
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Welcome to Qwiklabs Trivia for October! 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 October badge.
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Like lanterns on the streets of cities, Looker shines light on data to give deeper insights. Join this game to learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML. Earn the badge for an arcade point and get one step closer to your swag goal.
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When the edges are crisp, the pattern flows, the colors sparkle, and the symmetry is perfect… wait, are we talking about Rangoli or spreadsheets? See what beauty Google Sheets can bring to your monthly reports. Join the game to learn how to analyze data with functions and visualize data using charts. Earn the badge for an arcade point and get one step closer to your swag goal.
The Google Cloud Fly Cup
Earned 1월 28, 2023 EST
Qwiklabs Trivia December 2022
Earned 12월 21, 2022 EST
MongoDB Atlas on Google Cloud
Earned 12월 15, 2022 EST
#GoogleClout Set 9 (8/10)
Earned 12월 15, 2022 EST
Holiday Challenge: Automation with CI/CD Pipelines
Earned 12월 14, 2022 EST
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned 12월 2, 2022 EST
Virtual Agent Development in Dialogflow CX for Software Devs
Earned 12월 2, 2022 EST
CCAI Operations and Implementation
Earned 12월 2, 2022 EST
Google Docs
Earned 12월 2, 2022 EST
Google Drive
Earned 12월 2, 2022 EST
Google Sheets
Earned 12월 2, 2022 EST
Google Calendar
Earned 12월 2, 2022 EST
Gmail
Earned 12월 2, 2022 EST
Smart Analytics, Machine Learning, and AI on Google Cloud - Locales
Earned 12월 2, 2022 EST
Exploring Data Transformation with Google Cloud
Earned 12월 2, 2022 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned 12월 2, 2022 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned 12월 2, 2022 EST
Google Cloud Big Data and Machine Learning Fundamentals - 한국어
Earned 12월 2, 2022 EST
기업의 머신러닝
Earned 11월 25, 2022 EST
Hybrid Cloud Multi-Cluster with Anthos
Earned 11월 23, 2022 EST
Serverless Data Processing with Dataflow: Foundations
Earned 11월 23, 2022 EST
Anthos on Bare Metal
Earned 11월 23, 2022 EST
Multi-Cluster, Multi-Cloud with Anthos
Earned 11월 23, 2022 EST
DEPRECATED Network Performance and Optimization
Earned 11월 23, 2022 EST
Qwiklabs Trivia November 2022
Earned 11월 22, 2022 EST
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs
Earned 11월 21, 2022 EST
Digital Transformation with Google Cloud
Earned 11월 21, 2022 EST
Cloud Run 기반 서버리스 애플리케이션 개발
Earned 11월 21, 2022 EST
Google Cloud Run Serverless Workshop
Earned 11월 21, 2022 EST
Google Cloud에서 웹사이트 빌드
Earned 11월 21, 2022 EST
Google Cloud 컴퓨팅 기초: 클라우드 컴퓨팅 기초
Earned 11월 21, 2022 EST
Vertex AI에서 머신러닝 솔루션 빌드 및 배포하기
Earned 11월 20, 2022 EST
기준: 인프라
Earned 11월 20, 2022 EST
Google Cloud 비용 이해하기
Earned 11월 19, 2022 EST
Understanding LookML in Looker
Earned 11월 19, 2022 EST
Looker에서 LookML 객체 빌드
Earned 11월 18, 2022 EST
Building No-Code AppSheet Apps
Earned 11월 18, 2022 EST
Firebase로 서버리스 앱 개발
Earned 11월 17, 2022 EST
Build Apps & Websites with Firebase
Earned 11월 17, 2022 EST
No Code November 2022 - Apps Scripts
Earned 11월 6, 2022 EST
No code november 2022
Earned 11월 2, 2022 EDT
Halloween 2022 Challenge
Earned 10월 31, 2022 EDT
BigQuery ML로 ML 모델 만들기
Earned 10월 30, 2022 EDT
Diwali Game 4: Firecrackers and Firebase
Earned 10월 27, 2022 EDT
Associate Cloud Engineer 여정 준비하기
Earned 10월 25, 2022 EDT
Google Cloud 네트워크 개발
Earned 10월 25, 2022 EDT
Compute Engine에서 Cloud Load Balancing 구현하기
Earned 10월 25, 2022 EDT
Google Cloud에서 Terraform으로 인프라 빌드
Earned 10월 25, 2022 EDT
Google Sheets에서 함수, 수식, 차트 사용하기
Earned 10월 25, 2022 EDT
Diwali Game 3: Flowers and Flutter
Earned 10월 25, 2022 EDT
Qwiklabs Trivia October 2022
Earned 10월 24, 2022 EDT
Diwali Game 2: Lanterns and Looker
Earned 10월 24, 2022 EDT
Diwali Game 1: Rangoli and Google Sheets
Earned 10월 23, 2022 EDT