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 der Google Cloud

Kubernetes ist das beliebteste Container Orchestrierung System und das Google Kubernetes Motor wurde speziell für die Unterstützung verwalten Kubernetes Einsatz in der Google Cloud entwickelt. In dieser Fortgeschrittenen-Suche, erhalten Sie praktische Übungen Konfiguration Docker Bilder und Container und vollwertiges Kubernetes Engine-Anwendungen bereitstellen. Diese Quest erhalten Sie die praktischen Fähigkeiten zur Integration von Container-Orchestrierung in Ihren eigenen Workflow benötigt unterrichten.

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: Integrationen

Diese Quest of praktische Übungen demonstriert die Macht der Integration von Google Cloud Platform Services und Tools mit G-Suite-Anwendungen. Mit Integrationstechnologien wie App-Skript und die Schließe Command Line-Umgebung, werden Sie erstellen und Web-Anwendungen veröffentlichen und Add-ons für G Suite-Produkte: Bettlaken, Dokumente, Formulare und Slides. Mit App Maker bauen Sie eine ready-to-use-Anwendung, die eine Google Cloud SQL-Datenbank, Google Maps Integration hat, und ein Mobile-Responsive Design. Andere Labors schaffen direkte Verbindungen zu GCP Daten sources-- mit dem BigQuery API, Tabellen und Präsentationen zu sammeln, zu analysieren und Darstellung von Daten.

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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Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

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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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Cloud Storage: Qwik Start – Console

In diesem Lab lernen Sie, wie Sie mithilfe der Google Cloud Platform Console grundlegende Aufgaben in Cloud Storage ausführen. Sehen Sie sich dazu dieses kurze Video an.

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Hardening Default GKE Cluster Configurations

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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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