Cloud-Experte werden – mit praxisorientiertem Training

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 in the Google Cloud

Kubernetes is the most popular container orchestration system and the Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in the Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images and containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow.

Challenge: GCP-Architektur

Diese Aufgabe der \"Challenge-Labs\" vermittelt Teilnehmern, die sich auf die Zertifizierung \"Google Cloud Certified Professional Cloud Architect\" vorbereiten, Praxiskenntnisse zu gängigen Geschäfts-/Technologielösungen auf Basis von GCP-Architekturen. Die \"Challenge Labs\" liefern keine \"Cookbook\"-Schritte, sondern Erfordern das Erstellen von Lösungen für viele GCP-Technologien mit minimaler Anleitung. In allen Labs werden die Aktivitäten erfasst, und zur erfolgreichen Absolvierung müssen Sie bei jedem Lab 100 % erzielen. Die Aufgabe ist nicht einfach und stellt Ihre Fähigkeiten im Bereich GCP-Technologie auf die Probe. Beachten Sie, dass Sie mithilfe der Labs zwar Ihre Kenntnisse und Fähigkeiten erweitern können, zur Vorbereitung auf die Zertifizierung jedoch ein externes Studium, Erfahrung und ein Hintergrund in Cloudarchitektur empfehlenswert sind.

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.

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.

Einführung in Amazon Simple Storage Service (S3)

Inhalt: In dieser Übung wird gezeigt, wie ein Amazon S3-Bucket verwendet wird und wie im Bucket gespeicherte Dateien bzw. Objekte verwaltet werden. Sie üben das Erstellen eines Buckets sowie das Hinzufügen, Anzeigen, Verschieben und Löschen eines Objekts und Buckets in der 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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Translate Text with the Cloud Translation API

The Cloud Translation allows you to translate an arbitrary string into any supported language. In this hands-on lab you’ll learn how to use the Cloud Translation API to translate text and detect the language of text if the language is unknown.

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Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.

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Terraform Fundamentals

In this hands-on-lab you will create infrastructure, a virtual machine, using Terraform in the cloud environment.

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Bracketology with Google Machine Learning

In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

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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.

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