Diventa un utente cloud esperto grazie alla formazione pratica.

Introduction to Serverless: Firebase Development

Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!

Insights from Data with BigQuery

Vuoi migliorare l'analisi dei dati senza dover gestire hardware del database? Scopri le best practice per le query e per ottenere informazioni dal tuo data warehouse con questa serie interattiva di lab su BigQuery. BigQuery è il database di analisi NoOps e a basso costo completamente gestito di Google. Con BigQuery puoi interrogare terabyte e terabyte di dati senza dover gestire alcuna infrastruttura o aver bisogno di un amministratore del database. BigQuery utilizza SQL e sfrutta i vantaggi offerti dal modello di pagamento a consumo. BigQuery permette di concentrarsi sull'analisi dei dati per trovare informazioni valide. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud.

Build and Secure Networks in Google Cloud

Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential Google Cloud 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. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!

Introduction to Serverless: Cloud Run Development

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. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!

Perform Foundational Data, ML, and AI Tasks in Google Cloud

Big data, machine learning e intelligenza artificiale sono i temi più attuali nel campo dell'elaborazione dati. Tuttavia, questi settori sono piuttosto specialistici ed è difficile trovare materiale introduttivo. Fortunatamente, Google Cloud fornisce servizi facili da usare in questi ambiti e il Laboratorio Qwiklabs di livello preliminare ti aiuta a muovere i primi passi con strumenti come Big Query, API Cloud Speech e AI Platform. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di ogni laboratorio.

Perform Foundational Infrastructure Tasks in Google Cloud

Se sei uno sviluppatore cloud alle prime armi e vuoi mettere in pratica le conoscenze acquisite con "Getting Started - Create and Manage Cloud Resources", questo Laboratorio fa al caso tuo. Acquisirai esperienza pratica con i lab che si concentrano su Cloud Storage e altri servizi applicativi principali, tra cui Stackdriver e Cloud Functions. Completando questo Laboratorio, svilupperai competenze importanti applicabili a qualsiasi iniziativa Google Cloud. Completa questo Laboratorio, compreso il Challenge Lab finale, per ricevere un esclusivo badge digitale Google Cloud. I video di un minuto ti guideranno attraverso i concetti chiave di questi lab..

Temi caldi

A Tour of Qwiklabs and Google Cloud

In questo primo lab pratico accederai a Qwiklabs e alla console di Google Cloud Platform, oltre a utilizzare le funzionalità di base di GCP: progetti, risorse, utenti IAM, ruoli, autorizzazioni, API e Cloud Shell.

Creating a Virtual Machine

In questo lab pratico imparerai a creare una macchina virtuale Google Compute Engine e acquisirai familiarità con i concetti di zona, area geografica e tipo di macchina. Per un'anteprima, guarda il breve video Create a Virtual Machine, GCP Essentials.

AI Platform: Qwik Start

In questo lab imparerai ad addestrare un modello TensorFlow e ad eseguirne il deployment su AI Platform per l'elaborazione di previsioni. Guarda questi brevi video: Harness the Power of Machine Learning with AI Platform e AI Platform: Qwik Start - Qwiklabs Preview.

Predict Housing Prices with Tensorflow and AI Platform

In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.

Di tendenza

Introduction to Amazon Aurora

This lab will give you a basic understanding of using Amazon Aurora. You will be shown the basic steps to create an Amazon Aurora instance and then connect to the Amazon Aurora instance. To successfully complete this lab, you should have experience connecting to Microsoft Windows instances using RDP and have a basic knowledge of AWS.

Di tendenza

Using AWS Lambda with Amazon CloudWatch and SNS to Implement a Slack Chat Bot

In this lab you will build a chat bot for Slack, using a Lambda blueprint. Chat bots have the ability to interact with teams and users, respond to commands, and post notifications, giving all conversation participants visibility into team activities. You will build a bot that posts CloudWatch alarms to your Slack channel. Prerequisites: To successfully complete this lab, you should be familiar with AWS Lambda and Amazon CloudWatch through taking the introductory labs. You will need to have or create an account with the online service Slack to complete this lab-- instructions are provided. Familiarity with Slack is helpful, though not required.

Di tendenza

Programming Amazon DynamoDB with .NET

This lab will provide a further understanding of using the AWS Toolkit for .NET and leveraging Amazon DynamoDB for application development. It will demonstrate the basic steps required to install Visual Studio Community Edition and the AWS Toolkit for Visual Studio and to build an application in C# that leverages DynamoDB using the AWS SDK for .NET. To successfully complete this lab, you should be familiar with Visual Studio for C# and have a basic knowledge of launching and connecting to Windows systems in AWS.

Con ottime valutazioni

Engineer Data in Google Cloud: Challenge Lab

This challenge lab tests your skills and knowledge from the labs in the Engineer Data in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.

Con ottime valutazioni

Using the What-If Tool with Image Recognition Models

In this lab, we demonstrate the use of the what-if-tool for image recognition models.

Con ottime valutazioni