This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
Google CloudÜber diesen Kurs
13,676 kürzliche Aufrufe
Zertifikat zur Vorlage
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
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Stufe „Anfänger“
Ca. 14 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Kompetenzen, die Sie erwerben
Cloud PlatformsGoogleGoogle Cloud PlatformCloud Computing
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 14 Stunden zum Abschließen
Englisch
Untertitel: Englisch
von
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Lehrplan - Was Sie in diesem Kurs lernen werden
1 Stunde zum Abschließen
Introducing Google Cloud Platform
Google Cloud Platform offers four main kinds of services: Compute, Storage, Big Data, and Machine Learning. This course focuses mostly on the first two, together with Google Virtual Private Cloud (VPC) networking. This module orients learners to the basics of Google Cloud Platform. It traces the evolution of cloud computing and explains what is unique about Google's approach to it. The module introduces the key structural concepts of regions and zones.
1 Stunde zum Abschließen
14 Videos (Gesamt 21 min), 2 Lektüren, 3 Quiz
14 Videos
What is cloud computing?1m
How did we get here?1m
Every company is a data company26
GCP computing architectures1m
The Google network44
GCP regions and zones1m
Environmental responsibility1m
How Google Cloud differs from Azure: Regions and Zones1m
Google offers customer-friendly pricing1m
Open APIs1m
Multi-layered security approach3m
Why choose Google Cloud Platform1m
Budgets and Billing2m
2 Lektüren
Welcome to Google Cloud Fundamentals for Azure Professionals: Core Infrastructure10m
How to download course resources2m
3 praktische Übungen
Cloud Computing Services4m
GCP Regions and Zones4m
Introducing Google Cloud Platform30m
2 Stunden zum Abschließen
Getting Started with Google Cloud Platform
GCP customers use projects to organize the resources they use. They use Google Cloud Identity and Access Management, also called “IAM,” to control who can do what with those resources. They use any of several technologies to connect with GCP. This module covers each of these topics, and it introduces a service called Cloud Launcher that is an easy way to get started with GCP.
2 Stunden zum Abschließen
10 Videos (Gesamt 35 min)
10 Videos
The Google Cloud Platform resource hierarchy5m
Comparison to Azure : resource hierarchy2m
Identity and Access Management (IAM)2m
IAM roles3m
Comparison to Azure Active Directory3m
Interacting with Google Cloud Platform4m
Cloud Marketplace1m
Getting start with Cloud Marketplace2m
Getting Started with Google Cloud and Qwiklabs4m
3 praktische Übungen
The Google Cloud Platform resource hierarchy
Resources and IAM
Getting Started with Google Cloud Platform30m
2 Stunden zum Abschließen
Virtual Machines in the Cloud
Compute Engine lets you run virtual machines on Google’s global infrastructure. This module covers how Compute Engine works, with a focus on Google virtual networking.
2 Stunden zum Abschließen
8 Videos (Gesamt 22 min)
8 Videos
Virtual Private Cloud (VPC) Network1m
How Google VPC differs from Azure VNet1m
Compute Engine3m
Comparing Google Compute Engine and Azure VM4m
Important VPC capabilities7m
How typical approaches to load-balancing in Google Cloud differ from those in Azure2m
Demonstration: Getting Started with Compute Engine14
3 praktische Übungen
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking30m
2 Stunden zum Abschließen
Storage in the Cloud
Every application needs to store data. Different applications and workloads require different storage and database solutions. This module describes and differentiates among GCP's core storage options: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, and Google Bigtable.
2 Stunden zum Abschließen
10 Videos (Gesamt 40 min)
10 Videos
Cloud Storage4m
Cloud Storage interactions5m
Comparing Google Cloud Storage with Azure Blob Storage.2m
Google Cloud Bigtable4m
Google Cloud SQL and Google Cloud Spanner3m
Google Cloud Datastore1m
Comparing Google Cloud's managed database services with Azure SQL2m
Comparing Storage Options3m
Demonstration: Getting Started with Cloud Storage and Cloud SQL10m
5 praktische Übungen
Cloud Storage
Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Google Cloud Platform Storage Options30m
2 Stunden zum Abschließen
Containers in the Cloud
Containers are simple and interoperable, and they enable seamless, fine-grained scaling. Kubernetes is an orchestration layer for containers. Kubernetes Engine is Kubernetes as a service, a scalable managed offering that runs on Google’s infrastructure. You direct the creation of a cluster, and Kubernetes Engine schedules your containers into the cluster and manages them automatically, based on requirements you define. This module explains how Kubernetes Engine works and how it helps deploy applications in containers.
2 Stunden zum Abschließen
6 Videos (Gesamt 36 min)
6 Videos
Introduction to Kubernetes and GKE12m
Introduction to Hybrid and Multi-Cloud Computing (Anthos)7m
How GKE differs from Azure Kubernetes Service1m
Lab Introduction: Getting Started with Kubernetes Engine28
Demonstration: Getting Started with Kubernetes Engine6m
4 praktische Übungen
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine30m
1 Stunde zum Abschließen
Applications in the Cloud
App Engine is a Platform-as-a-Service ("PaaS") offering. The App Engine platform manages the hardware and networking infrastructure required to run your code. App Engine provides built-in services that many web applications need. This module describes how App Engine works.
1 Stunde zum Abschließen
5 Videos (Gesamt 13 min)
5 Videos
Google App Engine Standard Environment3m
Google App Engine Flexible Environment2m
Comparing App Engine to Azure App Service2m
Google Cloud Endpoints and Apigee Edge3m
3 praktische Übungen
App Engine30m
App Engine Flexible and Standard Environments
Applications in the Cloud30m
1 Stunde zum Abschließen
Developing, Deploying and Monitoring in the Cloud
Popular tools for development, deployment, and monitoring just work in GCP. Customers also have options for tools in each of these three areas that are tightly integrated with GCP. This module covers those tools.
1 Stunde zum Abschließen
6 Videos (Gesamt 22 min)
6 Videos
Deployment: Infrastructure as code1m
How Cloud Deployment Manager differs from Azure Resource Manager2m
Monitoring: Proactive instrumentation2m
How Stackdriver differs from Azure application Insights3m
Demonstration: Getting Started with Deployment Manager and Stackdriver7m
3 praktische Übungen
Development in the cloud
Cloud Functions
Developing, Deploying, and Monitoring in the Cloud30m
1 Stunde zum Abschließen
Big Data and Machine Learning in the Cloud
GCP's big-data and machine learning offerings are intended to help customers get the most out of data. These tools are intended to be simple and practical to embed in your applications. This module describes the available big-data and machine learning services and explains the usefulness of each.
1 Stunde zum Abschließen
11 Videos (Gesamt 29 min)
11 Videos
Google Cloud Big Data Platform3m
Cloud Dataflow2m
BigQuery2m
How BigQuery differs from Azure Data Lake Analytics2m
Cloud Pub/Sub and Cloud Datalab3m
How Cloud Pub/Sub differs from Azure Events Hub2m
Google Cloud Machine Learning Platform3m
Machine learning APIs2m
How GCP’s machine-learning APIs differ from Azure's1m
Demonstration: Getting Started with BigQuery2m
1 praktische Übung
Big Data and Machine Learning30m
1 Stunde zum Abschließen
Summary and Review
This module reviews the GCP services covered in this course and reminds learners of the differences among them. The module compares GCP compute services, GCP storage services, and important Google VPC networking capabilities.
1 Stunde zum Abschließen
3 Videos (Gesamt 6 min)
1 praktische Übung
Summary and Review30m
Bewertungen
Top-Bewertungen von GOOGLE CLOUD FUNDAMENTALS FOR AZURE PROFESSIONALS: CORE INFRASTRUCTURE
von AP16. Mai 2020
If you are a beginner in GCP I would say go through this course its excellent, it teaches you basic diff between Azure and GCP with lot of lab work the instructors are fab man !!!!!
von EJ23. Sep. 2020
Costs, Time and services is essential, even in the cloud. Here we can learn and compare to make better decision in what services and Big Data Platform to choose.
von AV9. Mai 2020
had a great experience while doing this course provided by the google.. and learned many google cloud services and functions..
von EM24. Apr. 2020
From Google Cloud course i got idea about how to create the in cloud and how to work with google cloud platform.
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