실습을 통해 클라우드 전문가가 되어 보세요.
시뮬레이션이 아닌 실제 환경에서 클라우드를 직접 경험해 볼 수 있도록 Google Cloud Platform 및 Amazon Web Services의 임시 사용자 인증 정보를 제공해 드립니다. 30분의 간단한 개별 실습부터 수일간 진행되는 과정에 이르는 다양한 일정으로, 입문 레벨부터 전문가 레벨까지 수준별로 진행됩니다. 수업 유형에는 강의형 또는 사용자 주도형이 있으며 머신러닝, 보안, 인프라, 앱 개발 등 다양한 주제로 수업이 진행됩니다.
Google Cloud Run Serverless Workshop
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.
Anthos: Service Mesh
This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
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 quest 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 multiple-choice question quiz and find out!
Applied Data: Blockchain
Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.
Cloud Healthcare API
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.
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.
Optimizing Your GCP Costs
This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
Qwiklabs 및 Google Cloud Platform 둘러보기
이 실습에서는 Qwiklabs와 Google Cloud Platform Console에 액세스하고 기본 GCP 기능인 프로젝트, 리소스, IAM 사용자, 역할, 권한, API 및 Cloud Shell을 사용합니다.
가상 머신 만들기
이번 실습에서는 Google Compute Engine 가상 머신을 만드는 방법을 배우고 영역, 리전, 머신 유형에 관해 알아봅니다. 실습 내용을 미리 보려면 간단한 동영상 가상 머신 만들기, GCP Essentials를 확인하세요.
Cloud Shell 및 gcloud 시작하기
이 실습에서는 웹을 통해 Google Cloud Platform에 호스팅된 컴퓨팅 리소스에 연결하는 방법을 학습합니다. Cloud Shell과 Cloud SDK gcloud 명령어를 사용하는 방법도 배우게 됩니다. 미리 살펴보려면 짧은 동영상인 Cloud Shell 시작하기, GCP 기본사항을 시청하세요.
네트워크 및 HTTP 부하 분산기 설정하기
이번 실습에서는 Google Compute Engine 가상 머신에서 실행되는 사용자 애플리케이션을 위한 네트워크 부하 분산기 및 HTTP 부하 분산기를 설정하는 방법을 배웁니다. 간단한 네트워크 및 HTTP 부하 분산기 설정하기, GCP Essentials 미리보기를 확인하세요.
Running a Node.js Container on Google Kubernetes Engine
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.
Deploy Node.js Express Application in App Engine
In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.
VM Migration: Modernize to Kubernetes through Migrate for Anthos
In this lab you'll use Migrate for Anthos to migrate a Compute Engine VM instance to a corresonding container image hosted in a Kubernetes pod.
Hardening Default GKE Cluster Configurations
This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation
Introduction to Amazon DynamoDB
This lab teaches you about Amazon DynamoDB by walking you through how to create, query, view and delete a table in the AWS Management Console.
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.
확장되는 분산형 머신러닝 모델을 작성합니다.
보안, 백업 및 복구
규정 준수 상태를 유지하고 정보, 데이터 애플리케이션, 인프라를 보호하세요.