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Cloud Computing

Cloud Computing is one of the trending technologies in the present market apart from AI/ML, IoT, AR, Container, DevOps and Cyber Security. It appears that the demand for skills in Cloud computing has been on the rise with no signs of slowing down. Today, even non-technical job roles are required and expected to have some basic knowledge on at least one Cloud Platform. So Start learning Cloud computing at VEDAIT along with either AWS or Azure or GCP skills to add in your resume

This course gives you the complete understanding about the basic concepts of Cloud.

  • What is Cloud Computing services
  • History of Cloud Computing
  • Cloud Computing Architecture
  • Cloud Computing Technologies
  • How Cloud Work
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • Community Cloud
  • What are Cloud Service Models
  • IaaS Layer
  • PaaS Layer
  • SaaS Layer
  • Cloud Computing Application
  • Cloud Computing Strategy
  • Cloud Computing Economics
  • Basics of Cloud Computing Virtualization
  • Software Virtualization
  • Storage Virtualization
  • Amazon WebServices
  • Microsoft Azure
  • GCP

Cloud computing with AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centres globally.

At present, AWS can be considered to be much bigger than both Azure and GCP in terms of functionality and maturity.

AWS is a cloud computing platform that help usersto build their applications over the cloud.

With the reduction in cost in making an application through AWS, fortune companies are actively adopting AWS in their ecosystem. Oppurtunities for freshers and working professionals are high in demand.

You can enroll for AWS coursewith VEDAIT and get qualitative experience from world class faculties.

  • What is AWS
  • History of AWS
  • AWS Features
  • AWS Free Tier
  • EC2 Image Builder
  • EC2
  • Lambda
  • Elastic BeanStalk
  • Serverless Application Repository
  • AWS App Runner
  • S3
  • EFS
  • S3 Glacier
  • Storage Gateway
  • VPC
    • AWS VPC
    • Creating custom VPC
  • CloudFront
  • Route 53
  • Direct Connect
  • Cloud Watch
  • AWS AutoScaling
  • CloudFormation
  • Config
  • OpsWorks
  • Trusted Advisors
  • AWS HealthDashboard
  • AWS Chatbot
  • CloudTrail
  • IAM
    • Access Management
    • User Groups
    • Users
    • Roles
    • Policies
    • Identity Provides
    • Account Settings

Cloud computing with Azure

Microsoft Azure is the fastest-growing provider on the market and has a market share second only to Amazon Web Services. If you want to keep your skills up to date and relevant then Microsoft Azure is a clear choice. Azure and GCP

In this course, you will learn to configure and deploy Web applications and also master the creation and deployment of Azure Web apps. You will learn to create and configure Azure Virtual machines and will able to create and manage storage account, while handling blobs and containers present in it.

This Azure Cloud training helps you master the SQL Database instance and the implications of importing a SQL standalone database. You will learn about the integrals of Azure Ad (Active Directory) instance and also learn to create a virtual network and implement a point-to-site network.

  • Compute
  • Storage
  • Fabric Controller
  • Content Delivery Network
  • Connect
  • Creating a Scalable Web Application
  • Creating a Parallel Processing Application
  • Creating a Scalable Web Application with Background Processing
  • Creating a Web Application with Relational Data
  • Migrating an On-Premises Web Application with Relational Data
  • Using Cloud Storage from an On-Premises or Hosted Application
  • Creating Windows Azure Applications
  • Examining the Compute Service
  • Examining the Storage Service Blobs , Tables , Queues
  • Examining the Fabric Controller

Cloud computing with Google Cloud

Azure and GCP are also progressing at a faster rate to prove their market dominance.

Google Cloud strongly competes with AWS include instance and payment configurability, privacy and traffic security, cost-efficiency, and Machine Learning. Google offers several off-the-shelf APIs pertaining to computer vision, natural language processing and translation. Machine learning engineers can build models based on Google’s Cloud Machine Learning Engine’s open-source TensorFlow deep learning library.

  • What is Google Cloud?
  • Create a GMAIL account
  • Use account to log into GCP console
  • Add credit bill details for billing
  • Create a project
  • Create UBUNTU VM Instance
  • Open Port from VPC Networks
  • Run Commands on the Ubuntu VM
  • Setup Firewall rules
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