실습 교육을 통해 Google Cloud Platform 전문가가 되어보세요.
시뮬레이션이 아닌 실제 환경에서 클라우드를 직접 경험해 볼 수 있도록 Google Cloud Platform의 임시 사용자 인증 정보를 제공해 드립니다. 30분의 간단한 개별 실습부터 수일간 진행되는 과정까지 준비되어 있으며 입문 레벨부터 전문가 레벨까지 레벨별로 진행됩니다. 수업 유형에는 강의형 또는 사용자 주도형이 있으며 머신러닝, 보안, 인프라, 앱 개발 등 다양한 주제로 수업이 진행됩니다.
BigQuery For Data Analysis
Want to learn the core SQL and visualization skills of a Data Analyst? Interested on how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.
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.
G Suite: Integrations
This Quest of hands-on labs demonstrates the power of integrating Google Cloud Platform services and tools with G Suite applications. With integration technologies such as App Script and the Clasp Command Line environment, you will create and publish web apps and add-ons for G Suite products: Sheets, Docs, Forms, and Slides. With App Maker you will build a ready-to-use app that has a Google Cloud SQL Database, Google Maps integration, and a Mobile Responsive Design. Other labs create direct connections to GCP data sources-- using the BigQuery API, Sheets, and Slides to collect, analyze and present data.
가장 인기 있는 이 탐구 과정에서 Google Cloud를 처음으로 실습할 수 있습니다. Stackdriver 및 Kubernetes의 고급 개념으로 실습하여 VM 가동, 키 인프라 도구 구성과 같은 기본사항을 익혀 보세요.
This fundamental-level quest is unique amongst the other Qwiklabs 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 GCP 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 advanced-level quest is unique amongst the other Qwiklabs 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 Dataproc, to Tensorflow, this quest is composed of specific labs that will put your GCP 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.
Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 9 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.
Hello Node Kubernetes
In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.
Cloud Shell 및 gcloud 시작하기
이 실습 과정에서는 웹을 통해 Google Cloud Platform에 호스팅된 컴퓨팅 리소스에 접속하는 방법과 Cloud Shell 및 Cloud SDK gcloud 명령을 사용하는 방법에 대해 알아봅니다.
Provision Services with GCP Marketplace
In this hands-on lab you'll learn how to use Google Cloud Platform's Marketplace to quickly get started with common operating systems, web frameworks, and databases. Watch the short preview Provision Services with GCP Marketplace, GCP Essentials.
Creating a Persistent Disk
In this hands-on lab, you will learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You will also learn about zones, regions, and different disk types. Watch the short preview Create a Persistent Disk, GCP Essentials.
Google Sheets as a Reporting Tool: Sheets API
In this lab, you'll learn how you can use Google Sheets as a custom reporting tool for your users. You’ll be modifying a sample order tracking application to export to spreadsheet and build visualizations using the Google Sheets API.
Speech to Text Transcription with the Cloud Speech API
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.
Deploy an ASP.NET Core App to App Engine
In this lab, you will deploy a simple ASP.NET Core app to App Engine Flexible environment. This lab builds on the "Build and Launch an ASP.NET Core app from Google Cloud Shell" lab.
Google Apps Script: Access Google Sheets, Maps & Gmail in 4 Lines of Code
Predict Visitor Purchases with a Classification Model in BQML
In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
클라우드 전문가 되기
인프라 및 DevOps
애플리케이션을 클라우드에서 구현, 배포, 이전, 유지관리해 보세요.
웹사이트 및 앱 개발
클라우드에서 애플리케이션을 개발하는 소프트웨어 엔지니어를 위한 실습입니다.
빅데이터 솔루션을 설계, 빌드, 분석, 최적화해 보세요.
확장성 있는 분산형 머신러닝 모델을 작성합니다.
보안, 백업, 복원
규정 준수 상태를 유지하고 정보, 데이터 애플리케이션, 인프라를 보호하세요.