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.
ofrecido por
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
Google CloudAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
Cloud PlatformsGoogleGoogle Cloud PlatformCloud Computing
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
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.
Programa - Qué aprenderás en este curso
1 hora para completar
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 hora para completar
14 videos (Total 21 minutos), 2 lecturas, 3 cuestionarios
14 videos
What is cloud computing?1m
How did we get here?1m
Every company is a data company26s
GCP computing architectures1m
The Google network44s
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 lecturas
Welcome to Google Cloud Fundamentals for Azure Professionals: Core Infrastructure10m
How to download course resources2m
3 ejercicios de práctica
Cloud Computing Services4m
GCP Regions and Zones4m
Introducing Google Cloud Platform30m
2 horas para completar
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 horas para completar
10 videos (Total 35 minutos)
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 ejercicios de práctica
The Google Cloud Platform resource hierarchy
Resources and IAM
Getting Started with Google Cloud Platform30m
2 horas para completar
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 horas para completar
8 videos (Total 22 minutos)
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 Engine14s
3 ejercicios de práctica
Virtual Private Cloud (VPC) Network
Compute Engine
Google Compute Engine and Networking30m
2 horas para completar
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 horas para completar
10 videos (Total 40 minutos)
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 ejercicios de práctica
Cloud Storage
Cloud Bigtable
Cloud SQL and Cloud Spanner
Cloud Datastore
Google Cloud Platform Storage Options30m
2 horas para completar
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 horas para completar
6 videos (Total 36 minutos)
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 Engine28s
Demonstration: Getting Started with Kubernetes Engine6m
4 ejercicios de práctica
Containers
Kubernetes
Kubernetes Engine
Containers, Kubernetes, and Kubernetes Engine30m
1 hora para completar
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 hora para completar
5 videos (Total 13 minutos)
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 ejercicios de práctica
App Engine30m
App Engine Flexible and Standard Environments
Applications in the Cloud30m
1 hora para completar
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 hora para completar
6 videos (Total 22 minutos)
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 ejercicios de práctica
Development in the cloud
Cloud Functions
Developing, Deploying, and Monitoring in the Cloud30m
1 hora para completar
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 hora para completar
11 videos (Total 29 minutos)
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 ejercicio de práctica
Big Data and Machine Learning30m
1 hora para completar
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 hora para completar
3 videos (Total 6 minutos)
1 ejercicio de práctica
Summary and Review30m
Reseñas
Principales reseñas sobre GOOGLE CLOUD FUNDAMENTALS FOR AZURE PROFESSIONALS: CORE INFRASTRUCTURE
por AP16 de may. de 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 !!!!!
por EJ23 de sep. de 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.
por AV9 de may. de 2020
had a great experience while doing this course provided by the google.. and learned many google cloud services and functions..
por EM24 de abr. de 2020
From Google Cloud course i got idea about how to create the in cloud and how to work with google cloud platform.
Preguntas Frecuentes
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Is financial aid available?
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Is this course similar to CP100A?
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