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  • Cloud computing came into existence in the early 2000s but people were not sure of its benefits ho it may help businesses. With the expanding market-size business went global and it is the time when businesses realize the actual potential of cloud computing platforms. Today, it has become a game-changer invention especially for large industries that are operating globally.
  • in this growing age of cloud computing platforms, there is a serious shortage of skilled cloud professionals who are familiar with at least one cloud computing platform like AWS, Azure, or Google Cloud, etc. Based on the reports, the cloud computing market size may grow by 623 billion by the end of 2022. It is just the right time to make yourself cloud certified by joining the best Cloud Computing training in Noida.
  • As per your interest, you could choose any of the cloud service providers like Azure, AWS, Google, Alibaba Cloud, IBM, and more to et certified. Before you attempt the certification exam, basic skills are required and it can be done by opting for Cloud computing training in Noida at Croma Campus and make yourself stand out of the crowd.
  • With the top Cloud Computing Training Institute in Noida, you can prepare yourself for various cloud certifications and get hired by leading industries across the world right away.

Cloud Computing Training in Noida

About-Us-Cources

  • The major objective of our Cloud computing training in Noida is to make yourself global cloud professionals who are recognized worldwide.
    • We help you to become a part of the growing community where you can interact with the same people like you who want to succeed in the cloud computing space.

      You will get an opportunity to understand cloud computing fundamentals and how they can be used by an enterprise to deliver their services securely.

      The Cloud computing certification courses prepare you to BAG good salary packages and get a chance to work with leading industries worldwide.

      The course witnesses amazing career growth with a pre-defined career path curated wisely by expert trainers.

      Also, the top Cloud computing training institute in Delhi helps you to stay relevant in the IT industry with the latest updates and certifications.

  • Cloud computing is a web space to store, manage, or process data. With the cloud computing training in Noida, you will learn about all the cloud computing concepts, how to manage data or multiple deployments across private, public, or hybrid cloud. Also, learn about practical concepts in the cloud and practice them as per the latest technology trends.
  • Today, cloud computing is one of the most popular trends worldwide. Let us have a quick look at the salary structure for cloud computing professionals in different countries that you may get on the completion of cloud computing training in Noida.
  • If you are working in the USA, you may earn between $105K to $140K. In the UK, you may earn between Pounds 46,000 to 72,000. In India, it is between 5 lacs to 13 lacs. For Australia, it is calculated between AUD 93,000 to 134,000.
  • With the ever-increasing demand for cloud professionals globally, you will get a chance to work with leading industries. So, make a wise decision now, before it is too late.

  • Cloud computing is all about the deployment of various operations across cloud platforms that may include IT infrastructure, business processes, or cloud management tactics, etc. The cloud computing training in Noida helps you to master various important concepts like virtualization concepts, cloud techniques, different cloud platforms, and more.
    • The cloud computing certification courses also enable you to master significant cloud concepts and learn to implement various cloud services too.

      Get an in-depth understanding of cloud hosting services, their architecture, deployment services, and more.

      Prepare yourself for the global certification exam organized by different vendors like AWS, Salesforce, Azure, IBM, Google, etc.

  • This is just the right time to signing up for Cloud computing training institute in Noida and get certified by leveraging cloud concepts within an organization.

  • Cloud computing is all about the deployment of various operations across cloud platforms that may include IT infrastructure, business processes, or cloud management tactics, etc. The cloud computing training in Noida helps you to master various important concepts like virtualization concepts, cloud techniques, different cloud platforms, and more.
  • Today, more than 40 percent of total industries have already adopted cloud platforms and the rest are planning to adopt them soon. It led to endless job options and career opportunities for seekers who are skilled and competent. The cloud computing training institute in Noida makes you proficient enough to manage all the job roles and responsibilities in cloud space with grace.
  • One of the biggest advantages of cloud computing techniques is that it results in overall cost reduction for businesses and individuals. So, companies don’t have to invest their money in expensive infrastructure but they could deploy their services in the cloud and it is easy to scale up when needed.
  • Furthermore, let us see why cloud computing has become the foremost choice by industries. Some of the major benefits of the platform include Migration flexibility, Great performance, Resilience in workload, increases agility and speed, Follows the pay-as-you-use feature, provides great elasticity, and Reduces company expenditures, more.
  • Here, we have listed a few popular reasons but the benefits are just endless. With the best cloud computing training institute in Noida, you will learn the depth implementation of cloud computing and its various features.
  • Getting all the required skills in cloud computing is the best way to differentiate yourself from the crowd. Since cloud computing is a new trend and it is growing rapidly in the IT space. Only completing a cloud computing course is not enough but you need to keep yourself updated and relevant as per the latest industry trends.

  • On the completion of the cloud computing training in Noida, let us see some of the common job roles and responsibilities to consider in cloud space.
    • You should know how to design, deploy, highly-available, or fault-tolerant cloud systems.

      You should know how to shift an existing business app to the cloud environment space.

      You should know how to select perfect cloud services to design or deploy cloud apps according to client requirements.

      You should know how to design scalable business apps as per enterprise grades and standards.

      You should know how to debug cloud apps and extensive experience in using at least one programming language.

      You must know how to implement cost-control strategies in the cloud so that it can be beneficial for businesses.

      You should know how to use SDKs to design power apps and scripts.

  • With the most prominent cloud computing training institute in India, you will find yourself more competent to obey all these roles and responsibilities with grace.

  • Amazon, IBM, Google, Oracle, Salesforce, are some of the top hiring industries in cloud computing. When you gain the right skills and certification, it can be a game-changing career path for you. With comprehensive cloud computing training in Noida, you will know how to implement cloud techniques well.
  • Today, most of the industries have shifted to cloud services and the rest are planning to do the same soon. It leaves a HUGE scope for certified professionals to get hired by leading industries worldwide and apply for various job options in different cloud roles on the completion of the cloud computing placement course.
  • Some of the most popular job roles include Cloud Administrator, Cloud Architect, Azure Cloud Systems Developer, Cloud Security Manager, and AWS Certified Solutions Architect, etc.

  • The way cloud computing has emerged in the IT space, is REALLY amazing and it witnesses a growing demand for certified cloud professionals worldwide. So, there is no doubt that this demand will grow exponentially for many years to come.
  • We make sure you must have cleared your doubts and gained enough skills to appear for certificate exams on the completion of the Cloud Computing training in Noida.
  • In the end, we will give you one training certificate too as valid proof of your cloud computing skills that you may showcase to the world and gain enough proficiency to become at the top of the cloud world.

Why should you learn Cloud Computing?

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TrackWeek DaysWeekendsFast Track
Course Duration 50-60 Days 18 Weekends 45 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
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Cloud Computing Certification Training

  • Looking to secure your future in today’s cutthroat landscape If so, your search ends here! Cloud computing is a popular web space being used by organizations to store, manage, or process data. With our cloud computing training, you will learn about all the cloud computing concepts, how to manage data, or multiple deployments across private, public, or hybrid cloud. let us have a quick look how we can help you.
  • In this program you will learn:
    • Basics of Cloud Computing

      AWS

      Describe Cloud Concepts

      DevOps

      Python Training Curriculum

      Google Cloud

      Power BI

      Linux

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  • Basics of Cloud Computing
    • A Short history

      Client Server Computing Concepts

      Challenges with Distributed Computing

      Introduction to Cloud Computing

      Why Cloud Computing

      Benefits of Cloud Computing

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  • Amazon EC2 and Amazon EBS
  • In this module, you will learn about the introduction to compute offering from AWS called EC2. We will cover different instance types and Amazon AMIs. A demo on launching an AWS EC2 instance, connect with an instance and host ing a website on AWS EC2 instance. We will also cover EBS storage Architecture (AWS persistent storage) and the concepts of AMI and snapshots.
    • Amazon EC2

      EC2 Pricing

      EC2 Type

      Installation of Web server and manage like (Apache/ Nginx)

      Amazon EBS

      Demo of AMI Creation

      Backup, Restore

      Exercise

      Mock

      Hands on both Linux and Windows

  • Amazon Storage Services S3 (Simple Storage Services)
  • In this module, you will learn how AWS provides various kinds of scalable storage services. In this module, we will cover different storage services like S3, Glacier, Versioning, and learn how to host a static website on AWS.
    • Versioning

      Static website

      Policy

      Permission

      Cross region Replication

      AWS-CLI

      Mount Point with S3

      Life cycle

      Classes of Storage

      AWS CloudFront

      Real scenario Practical

      Hands-on all above

  • Cloud Watch & SNS
  • In this module, you will learn how to monitoring AWS resources and setting up alerts and notifications for AWS resources and AWS usage billing with AWS CloudWatch and SNS.
    • Amazon Cloud Watch

      SNS - Simple Notification Services

      SQS

      Cloud Watch with Agent

      Cloud Watch with System Manager

  • Scaling and Load Distribution in AWS
  • In this module, you will learn about 'Scaling' and 'Load distribution techniques' in AWS. This module also includes a demo of Load distribution & Scaling your resources horizontally based on time or activity.
    • Amazon Auto Scaling

      Auto scaling policy with real scenario based

      Type of Load Balancer

      Path Based load balancer

      Hands on with scenario based

      Routing policy on Load balancer

  • AWS VPC
  • In this module, you will learn introduction to Amazon Virtual Private Cloud. We will cover how you can make public and private subnet with AWS VPC. A demo on creating VPC. We will also cover overview of AWS Route 53.
    • Amazon VPC with subnets

      Gateways

      Route Tables

      Subnet

      Cross region Peering

      Endpoint Creation with VPC

      00 | www.cromacampus.com

  • Identity and Access Management Techniques (IAM)
  • In this module, you will learn how to achieve distribution of access control with AWS using IAM.
    • Amazon IAM

      add users to groups,

      manage passwords,

      log in with IAM-created users.

      User

      Group

      Role

      Policy

  • Amazon Relational Database Service (RDS)
  • In this module, you will learn how to manage relational database service of AWS called RDS.
    • Amazon RDS

      Type of RDS

      RDS Failover

      RDS Subnet

      RDS Migration

      Dynamo DB (No SQL DB)

      Redshift Cluster

      SQL workbench

      JDBC / ODBC

  • Multiple AWS Services and Managing the Resources' Lifecycle
  • In this module, you will get an overview of multiple AWS services. We will talk about how do you manage life cycle of AWS resources and follow the DevOps model in AWS. We will also talk about notification and email service of AWS along with Content Distribution Service in this module.
    • Cloud Trail,

      SQS

  • AWS Architecture and Design
  • In this module, you will cover various architecture and design aspects of AWS. We will also cover the cost planning and optimization techniques along with AWS security best practices, High Availability (HA) and Disaster Recovery (DR) in AWS.
    • AWS Backup and DR Setup

      AWS High Availability Design

      AWS Best Practices (Cost +Security)

      AWS Calculator & Consolidated Billing

  • Migrating to Cloud & AWS
  • In this module, you will learn how to migrate to cloud.
    • Migration to Cloud

      Migration to AWS

      Step by step process

  • Router S3 DNS
    • Public DNS

      Private DNS

      Routing policy

      Records

      Register DNS

      Work with third party DNS as well

  • Cloud Formation
    • Stack

      Templet

      Json / Ymal

  • Elastic Beanstalk
    • Elastic Beanstalk

  • EFS / NFS (hands-on practice)
    • EFS / NFS (hands-on practice)

  • Hands-on practice on various Topics
    • Hands-on practice on various Topics

      • ECS, EKS (Kubernetes), Docker
      • Comprehensive hands-on with Dockers & Kubernetes Components
      • Docker & Kubernetes Architecture & Components and installation
      • Get introduced to deploy stateful and stateless apps on the cluster
      • Learn how to expose the app outside the cluster and to auto scale apps

      Expertise learning with use cases of Containers and Docker

  • Linux
    • Installation of Linux

      Configuration

      Manage

      Installation of app on Linux (apache / Nginx etc)

      AWS cli configuration on Linux

      Complete hands-on on Linux.

  • Python
    • Python

  • Boto
    • Boto

  • DMS
    • DMS

  • System Manager
    • System Manager

  • Mock
    • Mock

  • Interview preparation
    • Interview preparation

  • Scenario based lab and practical
    • Scenario based lab and practical

  • Each topic and services will be cover with lab and theory.
    • Each topic and services will be cover with lab and theory.

  • Security: KMS / SSM/ WAF
    • Security: KMS / SSM/ WAF

  • Storage: EFS, NFS, FSX, Storage Gateway
    • Storage: EFS, NFS, FSX, Storage Gateway

  • These topics will be covered with this AWS course with real scenario based.
    • These topics will be covered with this AWS course with real scenario based.

  • AZ 900 Microsoft Azure Fundamentals
    • AZ 900 Microsoft Azure Fundamentals

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  • Identify the benefits and considerations of using cloud services Cloud Computing Basics
    • Identify the benefits of cloud computing, such as High Availability, Scalability, Elasticity,

      Agility, and Disaster Recovery

      Identify the differences between Capital Expenditure (Cap Ex) and Operational

      Expenditure (Op Ex)

      Describe the consumption-based model

  • Describe the differences between categories of cloud services
    • Describe the shared responsibility model

      Describe Infrastructure-as-a-Service (IaaS),

      Describe Platform-as-a-Service (PaaS)

      Describe server less computing

      Describe Software-as-a-Service (SaaS)

      Identify a service type based on a use case

  • Describe the differences between types of cloud computing
    • Define cloud computing

      Describe Public cloud

      Describe Private cloud

      Describe Hybrid cloud

      Compare and contrast the three types of cloud computing

  • Describe Core Azure Services
  • Describe the core Azure architectural components
    • Describe the benefits and usage of Regions and Region Pairs

      Describe the benefits and usage of Availability Zones

      Describe the benefits and usage of Resource Groups

      Describe the benefits and usage of Subscriptions

      Describe the benefits and usage of Management Groups

      Describe the benefits and usage of Azure Resource Manager

      Explain Azure resources

  • Describe core resources available in Azure
    • Describe the benefits and usage of Virtual Machines, Azure App Services, Azure

      Container Instances (ACI), Azure Kubernetes Service (AKS), and Azure Virtual Desktop

      Describe the benefits and usage of Virtual Networks, VPN Gateway, Virtual Network peering, and ExpressRoute

      Describe the benefits and usage of Container (Blob) Storage, Disk Storage, File Storage, and storage tiers

      Describe the benefits and usage of Cosmos DB, Azure SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, and SQL Managed Instance

      Describe the benefits and usage of Azure Marketplace

  • Describe core solutions and management tools on Azure
  • Describe core solutions available in Azure
    • Describe the benefits and usage of Internet of Things (IoT) Hub, IoT Central, and Azure Sphere

      Describe the benefits and usage of Azure Synapse Analytics, HDInsight, and Azure Data bricks

      Describe the benefits and usage of Azure Machine Learning, Cognitive Services and Azure Bot Service

      Describe the benefits and usage of server less computing solutions that include Azure Functions and Logic Apps

      Describe the benefits and usage of Azure DevOps, GitHub, GitHub Actions, and Azure Dev Test Labs

  • Describe Azure management tools
    • Describe the functionality and usage of the Azure Portal, Azure PowerShell, Azure CLI, Cloud Shell, and Azure Mobile App

      Describe the functionality and usage of Azure Advisor

      Describe the functionality and usage of Azure Resource Manager (ARM) templates

      Describe the functionality and usage of Azure Monitor

      Describe the functionality and usage of Azure Service Health

  • Describe general security and network security features
  • Describe Azure security features
    • Describe basic features of Azure Security Center, including policy compliance, security alerts, secure score, and resource hygiene

      Describe the functionality and usage of Key Vault

      Describe the functionality and usage of Azure Sentinel

      Describe the functionality and usage of Azure Dedicated Hosts

  • Describe Azure network security
    • Describe the concept of defence in depth

      Describe the functionality and usage of Network Security Groups (NSG)

      Describe the functionality and usage of Azure Firewall

      Describe the functionality and usage of Azure DDoS protection

  • Describe identity, governance, privacy, and compliance features
  • Describe core Azure identity services
    • Explain the difference between authentication and authorization

      Define Azure Active Directory

      Describe the functionality and usage of Azure Active Directory

      Describe the functionality and usage of Conditional Access, Multi-Factor Authentication

      (MFA), and Single Sign-On (SSO)

  • Describe Azure governance features
    • Describe the functionality and usage of Role-Based Access Control (RBAC)

      Describe the functionality and usage of resource locks

      Describe the functionality and usage of tags

      Describe the functionality and usage of Azure Policy

      Describe the functionality and usage of Azure Blueprints

      Describe the Cloud Adoption Framework for Azure

  • Describe privacy and compliance resources
    • Describe the Microsoft core tenets of Security, Privacy, and Compliance

      Describe the purpose of the Microsoft Privacy Statement, Online Services Terms (OST) and Data Protection Amendment (DPA)

      Describe the purpose of the Trust Centre

      Describe the purpose of the Azure compliance documentation

      Describe the purpose of Azure Sovereign Regions (Azure Government cloud services and Azure China cloud services)

  • Describe Azure cost management and Service Level Agreements
    • Describe methods for planning and managing costs

      Identify factors that can affect costs (resource types, services, locations, ingress and egress traffic)

      Identify factors that can reduce costs (reserved instances, reserved capacity, hybrid use benefit, spot pricing)

      Describe the functionality and usage of the Pricing calculator and the Total Cost of Ownership (TCO) calculator

      Describe the functionality and usage of Azure Cost Management

  • Describe Azure Service Level Agreements (SLAs) and service lifecycles
    • Describe the purpose of an Azure Service Level Agreement (SLA)

      Identify actions that can impact an SLA (i.e. Availability Zones)

      Describe the service lifecycle in Azure (Public Preview and General Availability

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  • Ansible
    • Configuration Management with Ansible:

      In In this module, you will learn to Install Ansible and Configure Ansible Roles. You will also learn to write Playbooks and finally Execute Ad-Commands using Ansible.

      Introduction to Ansible

      • Ansible Installation
      • Configuring Ansible Roles
      • Write Playbooks
      • Executing Adhoc Command & Installing Ansible
      • Configuring Ansible Role & Write Playbooks
      • Execute Adhoc Commands
  • Kubernetes
    • Containerization using Kubernetes:

      In this module, you will learn the basics of Kubernetes and its Integration with Docker.

      • Revisiting Kubernetes Cluster Architecture
      • Spinning up a Kubernetes Cluster on Ubuntu VMs
      • Exploring your Cluster
      • Understanding YAML
      • Creating a Deployment in Kubernetes using YAML
      • Creating a Service in Kubernetes
      • Installing Kubernetes Dashboard
      • Deploying an App using Dashboard
      • Using Rolling Updates in Kubernetes
      • Containers and Container Orchestration
      • Introduction to Kubernetes
      • Setting up the Kubernetes Cluster
      • Accessing your application through service
      • Deploying an app through Kubernetes Dashboard
      • Rolling updates in Kubernetes
  • Jenkins (Continuous Integration)
    • Continuous Integration using Jenkins

      I In this module, you will know how to perform Continuous Integration using Jenkins by Building and Automating Test Cases using Maven

      • Jenkins Management
      • Adding a Slave Node to Jenkins
      • Building Delivery Pipeline
      • Pipeline as a Code
      • Implementation of Jenkins
      • Build the Pipeline of Jobs using Jenkins
      • Create a Pipeline Script to Deploy an Application over the Tomcat Server
  • Docker
    • Continuous Deployment: Containerization with Docker:

      This module introduces Docker to Readers, the Core Concepts and Technology behind Docker. Learn in detail about Container and various Operations Performed on it.

      • Shipping Transportation Challenges
      • Introducing Docker
      • Understanding Images and Containers
      • Running Hello World in Docker
      • Introduction to Container
      • Container Life Cycle
      • Sharing and Copying
      • Base Image & Docker File
      • Working with Containers
      • Publishing Image on Docker Hub
      • Create and Implement Docker Images and Containers
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  • Introduction To Python:
    • Installation and Working with Python

      Understanding Python variables

      Python basic Operators

      Understanding the Python blocks.

  • Python Keyword and Identifiers
    • Python Keyword and Identifiers

      Python Comments, Multiline Comments.

      Python Indentation

      Understating the concepts of Operators

      • Arithmetic
      • Relational
      • Logical
      • Assignment
      • Membership
      • Identity
  • Introduction To Variables:
    • Variables, expression condition and function

      Global and Local Variables in Python

      Packing and Unpacking Arguments

      Type Casting in Python

      Byte objects vs. string in Python

      Variable Scope

  • Python Data Type:
    • Declaring and using Numeric data types

      Using string data type and string operations

      Understanding Non-numeric data types

      Understanding the concept of Casting and Boolean.

      Strings

      List

      Tuples

      Dictionary

      Sets

  • Control Structure & Flow
    • Statements – if, else, elif

      How to use nested IF and Else in Python

      Loops

      Loops and Control Statements.

      Jumping Statements – Break, Continue, pass

      Looping techniques in Python

      How to use Range function in Loop

      Programs for printing Patterns in Python

      How to use if and else with Loop

      Use of Switch Function in Loop

      Elegant way of Python Iteration

      Generator in Python

      How to use nested Loop in Python

      Use If and Else in for and While Loop

      Examples of Looping with Break and Continue Statement

      How to use IN or NOT IN keyword in Python Loop.

  • Python Function, Modules and Packages
    • Python Syntax

      Function Call

      Return Statement

      Arguments in a function – Required, Default, Positional, Variable-length

      Write an Empty Function in Python –pass statement.

      Lamda/ Anonymous Function

      *args and **kwargs

      Help function in Python

      Scope and Life Time of Variable in Python Function

      Nested Loop in Python Function

      Recursive Function and Its Advantage and Disadvantage

      Organizing python codes using functions

      Organizing python projects into modules

      Importing own module as well as external modules

      Understanding Packages

      Random functions in python

      Programming using functions, modules & external packages

      Map, Filter and Reduce function with Lambda Function

      More example of Python Function

  • Python Date Time and Calendar:
    • Day, Month, Year, Today, Weekday

      IsoWeek day

      Date Time

      Time, Hour, Minute, Sec, Microsec

      Time Delta and UTC

      StrfTime, Now

      Time stamp and Date Format

      Month Calendar

      Itermonthdates

      Lots of Example on Python Calendar

      Create 12-month Calendar

      Strftime

      Strptime

      Format Code list of Data, Time and Cal

      Locale’s appropriate date and time

  • List
    • What is List.

      List Creation

      List Length

      List Append

      List Insert

      List Remove

      List Append & Extend using “+” and Keyword

      List Delete

      List related Keyword in Python

      List Revers

      List Sorting

      List having Multiple Reference

      String Split to create a List

      List Indexing

      List Slicing

      List count and Looping

      List Comprehension and Nested Comprehension

  • Tuple
    • What is Tuple

      Tuple Creation

      Accessing Elements in Tuple

      Changing a Tuple

      Tuple Deletion

      Tuple Count

      Tuple Index

      Tuple Membership

      TupleBuilt in Function (Length, Sort)

  • Dictionary
    • Dict Creation

      Dict Access (Accessing Dict Values)

      Dict Get Method

      Dict Add or Modify Elements

      Dict Copy

      Dict From Keys.

      Dict Items

      Dict Keys (Updating, Removing and Iterating)

      Dict Values

      Dict Comprehension

      Default Dictionaries

      Ordered Dictionaries

      Looping Dictionaries

      Dict useful methods (Pop, Pop Item, Str , Update etc.)

  • Sets
    • What is Set

      Set Creation

      Add element to a Set

      Remove elements from a Set

      PythonSet Operations

      Frozen Sets

  • Strings
    • What is Set

      Set Creation

      Add element to a Set

      Remove elements from a Set

      PythonSet Operations

  • Python Exception Handling
    • Python Errors and Built-in-Exceptions

      Exception handing Try, Except and Finally

      Catching Exceptions in Python

      Catching Specific Exception in Python

      Raising Exception

      Try and Finally

  • Python File Handling
    • Opening a File

      Python File Modes

      Closing File

      Writing to a File

      Reading from a File

      Renaming and Deleting Files in Python

      Python Directory and File Management

      List Directories and Files

      Making New Directory

      Changing Directory

  • Python Database Interaction
    • SQL Database connection using

      Creating and searching tables

      Reading and Storing config information on database

      Programming using database connections

  • Contacting user Through Emails Using Python
    • Installing SMTP Python Module

      Sending Email

      Reading from file and sending emails to all users

  • Reading an excel
    • Working With Excel

      Reading an excel file using Python

      Writing to an excel sheet using Python

      Python| Reading an excel file

      Python | Writing an excel file

      Adjusting Rows and Column using Python

      ArithmeticOperation in Excel file.

      Play with Workbook, Sheets and Cells in Excel using Python

      Creating and Removing Sheets

      Formatting the Excel File Data

      More example of Python Function

  • Complete Understanding of OS Module of Python
    • Check Dirs. (exist or not)

      How to split path and extension

      How to get user profile detail

      Get the path of Desktop, Documents, Downloads etc.

      Handle the File System Organization using OS

      How to get any files and folder’s details using OS

  • Data Analysis and Visualization using NumPy, Pandas, and MatPlotLib, Seaborn
  • NumPy
    • Introduction to NumPy: Numerical Python

      Importing NumPy and Its Properties

      NumPy Arrays

      Creating an Array from a CSV

      Operations an Array from aCSV

      Operations with NumPy Arrays

      Two-Dimensional Array

      Selecting Elements from 1-D Array

      Selecting Elements from 2-D Array

      Logical Operation with Array

  • Pandas
    • Working With Excel using Pandas

      Reading an excel & CSV file using Pandas

      Writing to an excel sheet using Pandas

      Adjusting Rows and Column using Pandas

      Arithmetic Operation in Excel file using Pandas.

      Play with Workbook, Sheets and Cells in Excel using Pandas

      Creating and Removing Sheets using Pandas

      Formatting the Excel File Data using Pandas

  • MatPlotLib
    • Bar Chart using Python MatPlotLib

      Column Chart using Python MatPlotLib

      Pie Chart using Python MatPlotLib

      Area Chart using Python MatPlotLib

      Scatter Plot Chart using Python MatPlotLib

      Export the Chart as Image

      Create Charts as Image

      Other Useful Properties of Charts.

      Plotting Different Charts, Labels, and Labels Alignment etc.

  • Introduction to Seaborn
    • Introduction to Seaborn

      Making a scatter plot with lists

      Making a count plot with a list

      Using Pandas with seaborn

  • Python Object Oriented Programming—Oops Concepts
    • Concept of Class, Object and Instances

      Constructor, Class attributes and Destructors

      Real time use of class in live projects

      Inheritance, Overlapping and Overloading operators

      Adding and retrieving dynamic attributes of classes

      Programming using Oops support

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  • Setting up a Cloud Solution Environment
  • Setting up cloud projects and accounts. Activities include
    • Creating projects

      Assigning users to predefined IAM roles within a project

      Managing users in Cloud Identity (manually and automated)

      Enabling APIs within projects

      Provisioning one or more Stackdriver workspaces

  • Managing billing configuration. Activities include
    • Creating one or more billing accounts

      Linking projects to a billing account

      Establishing billing budgets and alerts

      Setting up billing exports to estimate daily/monthly charges

  • Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project)
    • Concept of Class, Object and Instances

      Constructor, Class attributes and Destructors

      Real time use of class in live projects

      Inheritance, Overlapping and Overloading operators

      Adding and retrieving dynamic attributes of classes

      Programming using Oops support

  • Planning and Configuring a Cloud Solution
  • Planning and estimating GCP product use using the Pricing Calculator
  • Planning and configuring compute resources. Considerations include
    • Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)

      Using preemptible VMs and custom machine types as appropriate

  • Planning and configuring data storage options. Considerations include
    • Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)

      Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)

  • Planning and configuring network resources. Tasks include
    • Differentiating load balancing options

      Identifying resource locations in a network for availability

      Configuring Cloud DNS

  • Deploying and Implementing a Cloud Solution
    • Deploying and implementing Compute Engine resources. Tasks include:

      Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys)

      Creating an autoscaled managed instance group using an instance template

      Generating/uploading a custom SSH key for instances

      Configuring a VM for Stackdriver monitoring and logging

      Assessing compute quotas and requesting increases

      Installing the Stackdriver Agent for monitoring and logging

      Deploying and implementing Google Kubernetes Engine resources. Tasks include

      • Deploying a Google Kubernetes Engine cluster
      • Deploying a container application to Google Kubernetes Engine using pods
      • Configuring Google Kubernetes Engine application monitoring and logging
  • Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:
    • Deploying an application, updating scaling configuration, versions, and traffic splitting

      Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)

  • Deploying and implementing data solutions. Tasks include
    • Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)

      Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)

  • Deploying and implementing networking resources. Tasks include:
    • Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)

      Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)

      Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)

      Creating a VPN between a Google VPC and an external network using Cloud VPN

      Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)

  • Deploying a solution using Cloud Marketplace. Tasks include
    • Browsing Cloud Marketplace catalog and viewing solution details

      Deploying a Cloud Marketplace solution

      Installing the Stackdriver Agent for monitoring and logging

  • Deploying application infrastructure using Cloud Deployment Manager.Tasks include
    • Developing Deployment Manager templates

      Launching a Deployment Manager template

  • Ensuring Successful Operation of a Cloud Solution
  • Managing Compute Engine resources. Tasks include
    • Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)

      SSH/RDP to the instance

      Attaching a GPU to a new instance and installing CUDA libraries

      Viewing current running VM inventory (instance IDs, details)

      Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)

      Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)

      Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)

  • Managing Google Kubernetes Engine resources. Tasks include
    • Viewing current running cluster inventory (nodes, pods, services)

      Working with node pools (e.g., add, edit, or remove a node pool)

      Working with pods (e.g., add, edit, or remove pods)

      Working with services (e.g., add, edit, or remove a service)

      Working with stateful applications (e.g. persistent volumes, statefulsets)

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing App Engine and Cloud Run resources. Tasks include
    • Adjusting application traffic splitting parameters

      Setting scaling parameters for autoscaling instances

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing storage and database solutions. Tasks include
    • Moving objects between Cloud Storage buckets

      Converting Cloud Storage buckets between storage classes

      Setting object life cycle management policies for Cloud Storage buckets

      Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)

      Estimating costs of a BigQuery query

      Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)

      Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Managing networking resources. Tasks include
    • Adding a subnet to an existing VPC

      Expanding a subnet to have more IP addresses

      Reserving static external or internal IP addresses

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

      Monitoring and logging. Tasks include:

      Creating Stackdriver alerts based on resource metrics

      Configuring log sinks to export logs to external systems (e.g., on-premis es or BigQuery)

      Viewing specific log message details in Stackdriver

      Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-intime)

      Viewing Google Cloud Platform status

      Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

  • Configuring Access and Security
    • Managing identity and access management (IAM). Tasks include

      • Viewing IAM role assignments
      • Assigning IAM roles to accounts or Google Groups
      • Defining custom IAM roles

      Managing service accounts. Tasks include

      • Managing service accounts with limited privileges
      • Assigning a service account to VM instances
      • Granting access to a service account in another project

      Viewing audit logs for project and managed services

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  • Introduction to Power BI
    • Overview of BI concepts

      Why we need BI

      Introduction to SSBI

      SSBI Tools

      Why Power BI

      What is Power BI

      Building Blocks of Power BI

      Getting started with Power BI Desktop

      Get Power BI Tools

      Introduction to Tools and Terminology

      Dashboard in Minutes

      Refreshing Power BI Service Data

      Interacting with your Dashboards

      Sharing Dashboards and Reports

  • Power BI Desktop
    • Power BI Desktop

      Extracting data from various sources

      Workspaces in Power BI

      Data Transformation

      Measures and Calculated Columns

      Query Editor

  • Modelling with Power BI
    • Introduction to Modelling

      Modelling Data

      Manage Data Relationship

      Optimize Data Models

      Cardinality and Cross Filtering

      Default Summarization & Sort by

      Creating Calculated Columns

      Creating Measures & Quick Measures

  • Data Analysis Expressions (DAX)
    • What is DAX

      Data Types in DAX

      Calculation Types

      Syntax, Functions, Context Options

      Date and Time

      Time Intelligence

      Information

      Logical

      Mathematical

      Statistical

      Text and Aggregate

  • Measures in DAX
    • Measures in DAX

  • ROW Context and Filter Context in DAX
    • ROW Context and Filter Context in DAX

  • Operators in DAX - Real-time Usage
    • Operators in DAX - Real-time Usage

  • Quick Measures in DAX - Auto validations
    • Quick Measures in DAX - Auto validations

  • PowerPivot xVelocity & Vertipaq Store
    • PowerPivot xVelocity & Vertipaq Store

  • In-Memory Processing: DAX Performance
    • In-Memory Processing: DAX Performance

  • Modelling with Power BI
    • Introduction to Modelling

      Optimize Data Models

      Setup and Manage Relationships

      Cardinality and Cross Filtering

      Default Summarization & Sort by

      Creating Calculated Columns

      Creating Measures & Quick Measures

  • Power BI Desktop Visualisations
    • How to use Visual in Power BI

      What Are Custom Visuals

      Creating Visualisations and Colour Formatting

      Setting Sort Order

      Scatter & Bubble Charts & Play Axis

      Tooltips and Slicers, Timeline Slicers & Sync Slicers

      Cross Filtering and Highlighting

      Visual, Page and Report Level Filters

      Drill Down/Up

      Hierarchies and Reference/Constant Lines

      Tables, Matrices & Conditional Formatting

      KPI's, Cards & Gauges

      Map Visualizations

      Custom Visuals

      Managing and Arranging

      Drill through and Custom Report Themes

  • Introduction to Power BI Q&A and Data Insights
    • Why Dashboard and Dashboard vs Reports

      Creating Dashboards

      Power BI Q&A

      Quick Insights in Power BI

      Power BI embedded and REST API

  • Direct Connectivity
    • Custom Data Gateways

      Exploring live connections to data with Power BI

      Connecting directly to SQL Azure, HD Spark, and SQL Server Analysis Services/MySQL

      Introduction to Power BI Development API

      Excel with Power BI: Connect Excel to Power BI, Power BI Publisher for Excel

      Content packs

      Update content packs

  • BI and Azure ML Integrating Power
    • Extracting data out of Azure SQL using R

      Using R, call the Azure ML web service and send it the unscored data

      Writing the output of the Azure ML model back into SQL

      read scored data into Power BI using R

      Scheduling a refresh of the data using the Personal Gateway

  • Publishing and Sharing
    • Introduction and Sharing Options Overview

      Publish from Power BI Desktop and Publish to Web

      Share Dashboard with Power BI Service

      Workspaces and Apps (Power BI Pro) and Content Packs (Power BI Pro)

      Print or Save as PDF and Row Level Security (Power BI Pro)

      Export Data from a Visualization and Publishing for Mobile Apps

      Export to PowerPoint and Sharing Options Summary

  • Refreshing Datasets
    • Personal Gateway (Power BI Pro and 64-bit Windows)

      Replacing a Dataset and Troubleshooting Refreshing

  • Placement Guide
    • What is an Interview

      Tips to clear an Interview

      Common Interview questions and answers

      Power BI Interview Questions and Answers

      Resume Building Guide

      Start applying for Jobs

      Refreshing Datasets

      Understanding Data Refresh

      Attempt for PowerBI Global Certification Exam

      Personal Gateway (Power BI Pro and 64-bit Windows)

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  • Red Hat System Administration
    • Get started with Red Hat Enterprise Linux

      Describe and define open source, Linux distributions, and Red Hat Enter prise Linux.

      Access the command line

      Log into a Linux system and run simple commands using the shell.

      Manage files from the command line

      Copy, move, create, delete, and organize files while working from the bash shell.

      Get help in Red Hat Enterprise Linux

      Resolve problems by using local help systems.

      Create, view, and edit text files

      Manage text files from command output or in a text editor.

      Manage local users and groups

      Create, manage, and delete local users and groups, as well as adminis ter local password policies.

      Control access to files

      Set Linux file system permissions on files and interpret the security effects of different permission settings.

      Monitor and manage Linux processes

      Evaluate and control processes running on a Red Hat Enterprise Linux system.

      Control services and daemons

      Control and monitor network services and system daemons using systemd.

      Configure and secure SSH

      Configure secure command line service on remote systems, using OpenSSH.

      Analyze and store logs

      Locate and accurately interpret logs of system events for troubleshooting purposes.

      Manage networking

      Configure network interfaces and settings on Red Hat Enterprise Linux servers.

      Archive and transfer files

      Archive and copy files from one system to another.

      Install and update software

      Download, install, update, and manage software packages from Red Hat and yum package repositories.

      Access Linux files systems

      Access, inspect, and use existing file systems on storage attached to a Linux server.

      Analyze servers and get support

      Investigate and resolve issues in the web-based management inter face, getting support from Red Hat to help solve problems.

      Comprehensive review

      Review the content covered in this course by completing hands-on exercises

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Cloud Computing Training in Noida is organized by Croma Campus. Croma Campus is a leading Industrial training institute in Noida. We provide most learning environment for major technical Cloud Computing at affordable price.

Now day's organizations are using cloud technology for the data storage, where they get exact amount of space, what they want. These services are provided by Amazon So if you are well technically sounded in Cloud Computing you can get a chance to work with the big MNCs.

Our trainers organize job oriented Cloud Computing training. Croma Campus is one of the well-equipped Cloud Computing training center in Noida. We provide training on a real-time project which helps to student in a better understanding.

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