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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.

GCP Essentials

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.

Cloud Architecture

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.

Baseline: Data, ML, AI

Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, GCP provides user-friendly services in these areas and Qwiklabs has you covered with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and Cloud ML Engine. Want extra help? 1-minute videos walk you through key concepts for each lab.

Data Engineering

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.

Kubernetes Solutions

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.

Baseline: Infrastructure

If you are a novice cloud developer looking for hands-on practice with GCP’s core infrastructure services, do yourself a favor and enroll in this quest. As a student, you will get practical experience by taking labs that dive into Cloud Storage, computing engines like Kubernetes, and key application services like Stackdriver and Deployment Manager. By taking this quest, you will develop invaluable skills that apply to any GCP project. 1-minute videos walk you through key concepts for each lab.

Whats Hot

Introduction to Amazon EC2 Auto Scaling

This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance.

For the lab to function as written, please DO NOT change the auto assigned region.

Exploring Google Ngrams with Amazon EMR

This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.

Creating an Amazon Virtual Private Cloud (VPC) with AWS CloudFormation

This lab will demonstrate how to create an Amazon Virtual Private Cloud (VPC) network using AWS CloudFormation. Note: This lab is a more of a walkthrough of a template rather than "learn how to build it". You will walk through the sections of an AWS CloudFormation template and get explanations for each step. You will then launch the AWS CloudFormation template to create a four-subnet Amazon VPC that spans two Availability Zones and a NAT that allows servers in the private subnets to communicate with the Internet in order to download packages and updates.

Amazon Simple Storage Service(S3) 소개

"본 실습에서는 Amazon S3 버킷을 사용하고, 버킷에 저장된 파일이나 객체를 관리하는 방법을 보여줍니다. AWS Management Console에서 버킷을 생성하고, 객체를 보고, 객체를 이동하고, 객체와 버킷을 삭제하는 방법을 연습합니다. 데모를 보려면 아래 링크로 이동하십시오. https://www.youtube.com/watch?v=Yyraql9A_Rc 실습이 설계된 대로 작동하기 위해서는 자동으로 지정된 리전을 변경하면 안 됩니다."

Trending

Simulating a Data Warehouse in the Cloud Using BigQuery and Dataflow

In this lab you build several Data Pipelines that will ingest data from the USA Babynames dataset into BigQuery, simulating a batch transformation

Trending

ETL Processing on GCP Using Dataflow and BigQuery

In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.

Trending

Kubernetes에서 StatefulSets로 MongoDB 데이터베이스 실행

컨테이너는 여러 클라우드 제공업체 간 또는 클라우드와 내부 하드웨어 모두에서 애플리케이션을 실행하고 조정하는 방법으로 인기를 얻고 있습니다. 이 실험실에서는 Kubernetes에서 Docker를 사용해 MongoDB 데이터베이스를 실행하는 과정을 간략하게 소개합니다.

Highly Rated

Build a Serverless Text-to-Speech Application with Amazon Polly

This lab builds a complete serverless application that demonstrates how to convert text-to-speech using Amazon Polly.

Highly Rated

Video on Demand with AWS Elemental MediaConvert

In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.

Highly Rated