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.
NCAA® March Madness®: Bracketology with Google Cloud
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.
OK Google: Build Interactive Apps with Google Assistant
With Google Assistant expected to be part of over a billion consumer devices by the end of this year, 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. Over the course of 5 labs, 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.
App Modernization with Apigee
Apigee enables you to create APIs and manage them for the benefit of other developers who might need to use your software. Apigee Edge enables you to quickly expose backend services as APIs. These "API Products" offer different capabilities and levels of service, with consumption managed by Apigee. Istio is an open source framework for connecting, securing, and managing microservices, especially services that are hosted in a Kubernetes cluster. This Quest of hands-on labs gives you practice in using Apigee for API creation and management functionality when you decide to modernize an application backend on Google Kubernetes Engine and an Istio based service mesh.
Kubernetes in the Google Cloud
Kubernetes is the most popular container orchestration system and the Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in the Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images and 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.
Challenge: GCP Architecture
This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using GCP architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many GCP technologies. All labs have activity tracking and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your GCP technology skills to the test. Be aware that while practice with these labs will increase your knowledge and abilities, we recommend additional study, experience, and background in cloud architecture to prepare for this certification.
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.
Networking in the Google Cloud
Networking is a principle theme of cloud computing—it’s the underlying structure of GCP and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential GCP 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, Networking in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.
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.
A Tour of Qwiklabs and the Google Cloud Platform
In this first hands-on lab you will access Qwiklabs and the Google Cloud Platform Console and use the basic GCP features: Projects, Resources, IAM Users, Roles, Permissions, APIs, and Cloud Shell.
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.
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.
Network Tiers - Optimizing Network Spend
In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.
Speaking with a Webpage - Streaming Speech Transcripts
In this lab you'll take audio from the client's microphone and stream it to a Java servlet. The Java servlet passes the data to the Cloud Speech API, which then streams transcriptions back to the servlet.
Deploy a Web App on GKE with HTTPS Redirect using Lets Encrypt
This lab shows you how to deploy a web app with a browser-trusted TLS certificate. You also deploy an HTTPS redirect on GKE using Let's Encrypt, NGINX Ingress, and Cloud Endpoints.
Google Assistant: Build a Youtube Entertainment App
In this lab, you will build a Google Assistant app with Dialogflow, Cloud Functions, and the Google News API to generate the top headlines and breaking news on topics and categories users desire.
Seamless Migration of Customer Traffic to GCP
In this lab you will learn how to leverage Apigee to transparently migrate application traffic from legacy backends to GCP-backed systems.
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.