Lab materials are available at : https://tecnotabs.com/gcp-tutorial-fo...
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This Course is for people who wants to take certification exam as mentioned below
Foundational certification :
Validate your broad knowledge of cloud concepts and the products, services, tools, features, benefits, and use cases of Google Cloud.
RECOMMENDED EXPERIENCE: Collaborative role with technical professionals, No technical prerequisites
Associate certification :Gain the fundamental skills to deploy and maintain cloud projects with a path to professional certification.
RECOMMENDED EXPERIENCE:
6+ months building on Google Cloud
Professional certification :Assess key technical job functions and advanced skills in design, implementation, and management of Google Cloud products.
RECOMMENDED EXPERIENCE: 3+ years cloud industry experience, At least 1 year working with Google Cloud
google cloud platform tutorial
There are 12 sections in this course, and each section focuses on a specific theme of GCP such as compute, storage, network, security, analytics, and so on.
Since this course is for absolute beginners, It has been structured in such a way that you understand the most important concepts about Google cloud platform.
so, this course will help you get the big picture of GCP.
you will walk away with a clear understanding on the building blocks of GCP, based on compute, storage, network and identity management.
after that I will cover some of the other essential services like databases, data and analytics, AI and Machine Learning, DevOps, and a quick walkthrough of some of the other enterprise services. so this course will help you see the big picture through the essential building blocks provided by GCP.
overview of google cloud Platform. this section includes the big picture of GCP followed by a discussion on various services provided by Google cloud platform. so let's get started. let's have a look at The big picture of gcp. Google is one of the hyperscale infrastructure providers. it's footprint spans multiple continents including Asia, Europe, and the America's. To put things in prospective, let me share some numbers. Google has 20 regions, 61 zones, 134 network edge location, and customer base that cuts across 200 + countries. A region is a collection of multiple data centers. you can associate a zone with data center and, when Google launches a new region, it typically has at least two zones. and the idea of zone is to provides high availability, reliability, and redundancy to customers. when customers launch application, they use more than one zone making their application highly available. Network Edge locations delivers static content which will enhance the User experience. apart from these regions and zones Google is soon expected to launch its data centers in new territories, including South Korea Indonesia and a couple of cities within the United States. This is as per current date, For the latest data, you can refer to the link in the description. now let's take a look at the building blocks of gcp. like most of the cloud providers, Google has an expensive set of offerings and at the bottom of this stack we see compute. and compute is the most critical building block of cloud infrastructure. and then we have storage which provides durability and persistence to applications. and of course we have network that enables communication across multiple applications. and services offered by Google on top of these code foundational building blocks we have additional services like databases, that includes both no SQL databases, and relational databases, followed by a set of data and analytics services, that offers, business intelligence, and data warehouse in the cloud. Google is known for its expertise in AI and machine learning
Alternate titles:
"Master the Basics of GCP: A Foundational Certification Course"
"Google Cloud Platform Tutorial: Get Started with GCP in Minutes"
"Learn GCP from Scratch: A Comprehensive Tutorial for Beginners"
"Maximize Your GCP Skills: Advanced Techniques and Tips"
"Google Cloud Platform Tutorial: Deploying Your First Application"
"Master GCP's Tools and Services: A Tutorial for Developers and IT Professionals"
"GCP Tutorial: Best Practices for Security, Scalability, and Performance"
"From Data Storage to Machine Learning: GCP Tutorial for Data Scientists"
"Google Cloud Platform Tutorial: Building and Managing Cloud Infrastructure"
Tags:
#GCP
#GoogleCloudPlatform
#CloudComputing
#CloudInfrastructure
#CloudServices
#CloudDeployment
#CloudStorage
#CloudSecurity
#CloudNetworking
#MachineLearning
#DataAnalytics
#DevOps
#Tutorial
#BeginnersGuide
#ITProfessional
#DeveloperSkills
#CloudBestPractices
#Scalability
#Performance
#DataScience
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