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 Workspace for IT Administrators
In this quest, you will gain hands-on experience on several topics in Google Workspace Administration including security, provisioning users and groups, managing applications, and managing Google Meet.
Protect and Recover Compute Engine Instances with Ac...
In this lab you’ll learn how to protect and recover a Google Compute Engine virtual machine using Google Persistent Disk snapshots.
Explore the fundamentals of Flutter application development in this hands-on quest! Within this quest, you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. Each lab in this quest utilizes a pre-provisioned development environment allowing minimal setup to get into the application code!
Optimize Costs for Google Kubernetes Engine
Earn a skill badge by completing the Optimize Costs for Kubernetes Engine, where you learn about the following tools and techniques to help optimize resource usage and eliminate unnecessary costs on Google Kubernetes Engine (GKE): create and manage a multi tenant cluster, monitor resource usage by namespace, configure cluster and pod autoscaling, configure load balancing, and set up liveness and readiness probes. The videos and labs in this quest explore best practices for running cost-optimized Kubernetes applications on GKE.
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.
Understanding LookML in Looker
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.
Vertex AI: Qwik Start
In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. starting with a local BigQuery and TensorFlow workflow you will progress toward training and deploying your model in the cloud with Vertex AI.
Migrating MySQL data to Cloud SQL using Database Mig...
This advanced-level quest offers hands-on practice with migrating MySQL data to Cloud SQL using Database Migration Service. You will start with an introductory lab that briefly reviews how to get started with Cloud SQL for MySQL, including how to connect to Cloud SQL instances using the Cloud Console, then continue with two labs focused on migrating MySQL databases to Cloud SQL using different job types and connectivity options available in Database Migration Service. The quest ends with migrating MySQL user data when running Database Migration Service jobs.
Language, Speech, Text, & Translation with Google Cl...
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.
Configuring Network Connectivity Center as a Transit...
Configuring Network Connectivity Center as a Transit hub to interconnect two non-Google networks such as remote branch offices using Google’s backbone network.
Secure and Rate Limit API calls with API Gateway
API Gateway enables you to provide secure access to your backend services through a well-defined REST API that is consistent across all of your services, regardless of the service implementation. Clients consume your REST APIS to implement standalone apps for a mobile device or tablet, through apps running in a browser, or through any other type of app that can make a request to an HTTP endpoint.
Qwiklabs 및 Google Cloud 살펴보기
이 실습에서는 Qwiklabs와 Google Cloud Platform Console에 접속해 기본 GCP 기능인 프로젝트, 리소스, IAM 사용자, 역할, 권한, API 및 Cloud Shell을 사용하게 됩니다.
가상 머신 만들기
이번 실습에서는 Google Compute Engine 가상 머신을 만드는 방법을 배우고 영역, 리전 및 머신 유형에 관해 알아봅니다. 내용을 미리 살펴보려면 짧은 동영상인 가상 머신 만들기, GCP Essentials를 확인하세요.
AI Platform: Qwik Start
이 실습에서는 TensorFlow 모델을 학습시키고 서빙(예측)을 위해 AI Platform에 배포합니다. 짧은 동영상인 AI Platform으로 머신러닝의 기능 활용하기 및 AI Platform: Qwik Start - Qwiklabs 미리보기를 시청하세요.
Cloud Shell 및 gcloud 시작하기
이 실습에서는 웹을 통해 Google Cloud Platform에 호스팅된 컴퓨팅 리소스에 접속하는 방법을 학습합니다. 또한, Cloud Shell과 Cloud SDK gcloud 명령어를 사용하는 방법을 배웁니다. 미리 살펴보려면 짧은 동영상인 Cloud Shell 시작하기, GCP 기본사항을 시청하세요.
Update Security Groups Automatically Using AWS Lambda
Security is a top priority for Amazon Web Services (AWS). AWS provides many tools and services to meet your unique security needs. This lab will present a solution, among many, to enhance your security. This lab walks through a method to automatically update your Virtual Private Cloud (VPC) Security Groups to only allow access from Amazon CloudFront and AWS Web Application Firewall (WAF). Defining Security Groups rules this way prevents malicious requests from by-passing AWS WAF security rules and accessing your EC2 instances directly.
Monitoring Security Groups with Amazon CloudWatch Ev...
In this lab you will learn how to use AWS CloudWatch events with a Lambda function to detect changes to the ingress permissions of an EC2 security group. In an different lab, Monitoring Security Groups with AWS Config, you will do something similar but with different services. Both of these labs illustrate techniques that could be used to provide additional layers of protection to infrastructure controls. Prerequisites: To successfully complete this lab, you should be familiar with EC2 security groups. Python programming skills are helpful, although full solution code is provided. It would be helpful to have taken the Introduction to AWS Lambda lab.
Using BigQuery in the Google Cloud Console
This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
Check Point: Next-Gen Data Center Security CloudGuar...
In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place
Autoscaling TensorFlow Model Deployments with TF Ser...
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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.