Faça treinamentos práticos e torne-se um especialista em nuvem.

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.

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.

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 no Google Cloud

Kubernetes é o sistema de orquestração recipiente mais popular eo Kubernetes Motor Google foi projetado implementações Kubernetes especificamente para apoiar gerenciados no Google Cloud. Neste nível avançado busca, você terá exercícios práticos configurando imagens Docker e recipientes, e implantação de aplicativos de pleno direito Motor Kubernetes. Essa busca vai te ensinar as habilidades práticas necessárias para a integração de orquestração recipiente em seu próprio fluxo de trabalho.

Desafio: arquitetura do GCP

Esta Quest de laboratórios com desafios oferece um treinamento prático em soluções comuns de negócios/tecnologia que usam arquiteturas do GCP, servindo como preparação para a certificação Google Cloud Certified Professional Cloud Architect. Em vez de apresentar um manual passo a passo, os desafios fornecem ao estudante um mínimo de orientação para a criação de soluções relacionadas a várias tecnologias do GCP. Todos os laboratórios têm acompanhamento das atividades e, para conquistar o selo, você precisa atingir uma pontuação de 100% em todos eles. Esta Quest não é nada fácil e colocará à prova seu conhecimento sobre a tecnologia do GCP. Os laboratórios ajudarão a desenvolver suas habilidades. No entanto, recomendamos que você também estude outros materiais e aumente sua experiência com arquitetura de nuvem como preparação para a certificação.

G Suite: integrações

Essa busca de laboratórios práticos demonstra o poder da integração de serviços e ferramentas do Google nuvem plataforma com aplicações G Suite. Com tecnologias de integração, como a App Script e o ambiente de linha de comando do fecho, você vai criar e publicar aplicativos web e complementos para os produtos G Suite: Lençóis, Docs, formulários e Slides. Com App Maker você vai construir um aplicativo de ready-to-use que tem um banco de dados do Google Cloud SQL, integração com o Google Maps, e um design responsivo Mobile. Outros laboratórios criar conexões diretas com dados de BPC sources-- usando a API do BigQuery, Folhas e Apresentações para coletar, analisar e apresentar dados.

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.

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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.

Introduction to Amazon Simple Storage Service (S3)

This lab demonstrates how to use an Amazon S3 bucket and manage files, or object, that are stored in the bucket. You will practice how to create a bucket, add an object, view an object, move an object, and delete an object and bucket in the AWS Management Console.

Introduction to AWS Identity and Access Management (IAM)

This lab shows you how to manage access and permissions to your AWS services using AWS Identity and Access Management (IAM). Practice the steps to add users to groups, manage passwords, log in with IAM-created users, and see the effects of IAM policies on access to specific services.

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Deploy Windows Server with ASP.NET Framework to Compute Engine

In this lab you will learn how to create a virtual machine with Windows Server and the ASP.NET framework installed. Then you will create a Windows user and password and learn how to remote desktop into the Windows Server.

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VM Migration: Planning

This lab provides a high level overview of the Google Cloud Adoption Framework and then deep dives into how to automate environment setup and deployments on GCP.

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Working with AWS CodeCommit on Windows

This hands-on lab gives you practice with AWS CodeCommit working from a Microsoft Windows development environment (Visual Studio Code) on an instance running in EC2. You will create a code repository in AWS CodeCommit. You’ll then create a local repository on the Windows instance and make some changes to it. Then you will synchronize (commit) your changes to the AWS CodeCommit repository.

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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.

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Detectar rótulos, rostos e pontos de referência em imagens com a API Cloud Vision

A API Cloud Vision faz o encapsulamento de modelos avançados de machine learning em uma API REST simples, o que permite entender o conteúdo de imagens. Neste laboratório, você enviará uma imagem à API Cloud Vision para que ela identifique objetos, rostos e pontos de referência.

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