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Become an expert in DevOps with this master program. Finance options available.

Overview of AWS Devops Master Program

  • The Master Program in AWS Cloud-DevOps certification training is designed to provide a comprehensive understanding of cloud computing and DevOps practices. This certification course teaches students how to design, deploy, and manage applications on the AWS cloud platform using DevOps methodologies.
  • The program covers a range of topics, including AWS cloud architecture, cloud computing fundamentals, DevOps practices, continuous integration, and delivery, containerization, and automation. It also includes hands-on experience with AWS services and tools such as EC2, S3, Lambda, CloudFormation, and CodeDeploy.
  •  

  • The Master Program in AWS Cloud-DevOps certification training is ideal for professionals who want to build a career in cloud computing and DevOps. It provides students with the skills and knowledge they need to work effectively in a cloud-based, DevOps environment. Graduates of the program can pursue roles such as AWS Cloud Architect, DevOps Engineer, Cloud Engineer, and Solution Architect.
  • Our experienced trainers provide industry-relevant training that prepares students for the demands of the job market. With a Master's Program in AWS Cloud-DevOps certification, graduates can leverage their skills to secure exciting career opportunities in various industries.

Why Should you take this course?

  • Combining a Master's Program in Data Science with a Master's Program in AWS Cloud-DevOps certification training provides several benefits for professionals seeking to build a career in technology. Here are five advantages of taking this course:
  • Comprehensive knowledge: The program covers both data science and cloud computing with DevOps, giving students a comprehensive understanding of these areas.
  • Increased employability: Graduates with skills in both data science and AWS cloud computing are highly sought after by employers in various industries.
  • Hands-on experience: The program provides hands-on experience with industry-relevant tools and technologies used in data science and AWS cloud computing.
  • Career growth opportunities: Graduates with skills in data science and AWS cloud computing can pursue roles such as Data Scientist, DevOps Engineer, Cloud Engineer, and Solution Architect, with opportunities for career advancement.
  • Higher earning potential: Professionals with a Master's Program in Data Science and a Master's Program in AWS Cloud-DevOps certification can command higher salaries due to their specialized skillset and expertise in both areas.


Related job roles

  • DevOps Consultant
  • System Administrator
  • Unix/Linux Administrator
  • DevOps Engineer
  • Cloud Software Engineer
  • System Integrator
  • Linux system administrator
  • Unix System Administrator
  • Cloud Engineer
     

2000+ Ratings

3000+ Learners

Skills Covered in Master Program

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AWS architecture & Planning
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Virtual Private Cloud
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Security, Identity & compliance management
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RDS Database
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Design & Implement S3 storage
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Virtual Private Cloud
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DevOps Culture
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Ansible Playbooks
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Docker Containers
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Jenkins Integration
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CI/CD Integration
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Python Scripting
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Shell Scripting
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Linux Administration
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Version Control using Gitlab
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Kubernetes
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Agile Methodologies

Master Program in AWS Cloud Devops

Master Program in AWS Cloud-DevOps Certification Training Course is designed to equip professionals with the skills and knowledge required to manage and operate applications and infrastructure on the AWS cloud platform. The course provides a comprehensive understanding of AWS services, DevOps practices, and automation tools used to build and deploy applications on AWS. This program is ideal for professionals looking to enhance their skills and knowledge in cloud computing and DevOps and for those seeking to advance their careers in these fields.

Why Should You Take Master Program in AWS Cloud-DevOps Certification Training Course?

  • Industry-recognized certification: The program provides participants with AWS Cloud and DevOps certification, which is globally recognized and valued by employers.
  • In-demand skills: With the increasing adoption of cloud computing and DevOps, professionals with AWS Cloud-DevOps skills are in high demand in various industries.
  • Hands-on experience: The course provides hands-on experience with AWS services, tools, and technologies used in DevOps practices, making participants job-ready.
  • Improved job prospects: Graduates of this program can pursue careers as AWS Cloud Architects, DevOps Engineers, Cloud Engineers, and Solution Architects, with opportunities for career advancement.
  • Enhanced earning potential: Professionals with AWS Cloud-DevOps certification can command higher salaries due to their specialized skillset and expertise in both areas.

Advantages of Taking Master Program in AWS Cloud-DevOps Certification Course:

  • Comprehensive curriculum: The program covers a wide range of topics, including AWS services, DevOps practices, automation tools, and security, providing participants with a holistic understanding of cloud computing and DevOps.
  • Hands-on learning: The course includes hands-on exercises, case studies, and real-world scenarios that allow participants to apply their knowledge in practical situations.
  • Experienced trainers: The program is taught by industry experts with extensive experience in cloud computing and DevOps, providing participants with valuable insights and practical knowledge.
  • Flexibility: The program is designed to be flexible, allowing participants to learn at their own pace and schedule.
  • Industry-relevant skills: The program focuses on the skills and knowledge that are in high demand in the industry, making participants job-ready upon completion of the program.

Why Master Program in AWS Cloud-DevOps is More Popular?

  • Master Program in AWS Cloud-DevOps is more popular due to the following reasons:
  • Cloud computing and DevOps are gaining popularity across industries due to their cost-effectiveness and efficiency.
  • AWS is one of the leading cloud service providers, with a wide range of services and tools used in cloud computing and DevOps.
  • The combination of AWS Cloud and DevOps skills is highly sought after by employers, making this program popular among professionals seeking to enhance their careers.
  • The program provides a comprehensive understanding of cloud computing and DevOps, making it an attractive option for professionals seeking to upskill.
  • The program provides a globally recognized certification, making it a valuable addition to a professional's resume.
  • Job Opportunities for Master Program in AWS Cloud-DevOps Professionals in 2023:
  • Graduates of the Master Program in AWS Cloud-DevOps Certification Training Course can pursue various roles, including:
  • AWS Cloud Architect: Responsible for designing, deploying, and maintaining AWS-based infrastructure and applications.
  • DevOps Engineer: Responsible for automating software development, deployment, and testing processes using DevOps tools and practices.
  • Cloud Engineer: Responsible for managing and maintaining cloud-based infrastructure, including storage, networking, and security.
  • Solution Architect: Responsible for designing and implementing solutions that meet business requirements using AWS services and DevOps practices.
  • IT Manager: Responsible for overseeing IT operations, including cloud infrastructure and DevOps practices.

In conclusion, the Master Program in AWS Cloud-DevOps Certification Training Course is an excellent option

Career

Key Features

Minimum 15 Guaranteed Interviews
12 Months LinkedIn Learning Access
6 months of Practical Learning
Certificate from Jainx Academy Unit of Jain University
Guaranteed Placement
Assignments & Interview Preparation
Professional Resume Building
Live Online/Classroom Sessions
EMI starts from Rs 5500

Master Program in AWS Cloud-Devops Videos

Master Program in Cloud DevOps Training

Massive DevOps jobs growth

DevOps allows a software development company to continuously improve its products. It also allows the company to scale up or down the number of operations its products can perform at any given point in time.

The global IT sector is slowly migrating towards automation and with automation, reliable software applications need to be developed constantly.

 

High salary for DevOps jobs

Fresh graduates can get starting salary of Rs 6 LPA in India.

For experienced (say around 5 years) you can expect around 15 LPA to 20 LPA.

DevOps plays a vital role in this aspect hence; the demand for DevOps specialists is extremely high overseas!

 

Fees & Training Options

Class room Training

$

  • Guaranteed minimum 10 interviews
  • Interactive Classroom Training Sessions
  • 140+ Hrs instructor Led Classroom Training 
  • Delivered by Senior Industry Experts
  • Practicals & Mini projects on Linux,  AWS Services, DevOps
  • Certification Assistance
  • Excellent Classroom Infrastructure
  • Daily 2 Hrs or Weekend 10 Hrs
  • Assured Job Placement 
  • Interview preparation
Enroll Now

Online Training

$

  • Guaranteed minimum 10 interviews
  • Interactive Live Training Sessions
  • 140+ Hrs instructor Led Online Training 
  • Delivered by Senior Industry Experts
  • Realtime AWS, DevOps Services Projects
  • Certification Assistance
  • 1 Year Access to Recorded Sessions
  • Daily 2 Hrs or Weekend 10 Hrs
  • Assuarced Job Placement 
  • Doubt Clearing Sessions
  • Regular assignments
Enroll Now

Course Syllabus

Pre-requisites

Basic computer knowledge is more than enough.

Course Syllabus

Master Program in DevOps
Linux Administration Or Windows Administration
1: Overview to Linux & Unix based operating systems
  • Differences between centos, red hat enterprise linux & fedora
  • Difference between UNIX & LINUX
  • History of UNIX & Linux
2: Working with Basic Linux Commands
  • Access a shell prompt and issue commands with correct syntax
  •  Use input-output redirection
  •  Use grep and regular expressions to analyze text
  •  Access remote systems using SSH
  •  Log in and switch users in multiuser targets
  •  Archive, compress, unpack, and uncompress files using tar, star, gzip, and bzip2
  •  Create and edit text files
  •  Create, delete, copy, and move files and directories
  •  Create hard and soft links
  •  List, set, and change standard ugo/rwx permissions
  •  Locate, read, and use system documentation including man, info, and files in /usr/share/doc
3: System Configuration
  • Installing Linux operating system using ISO image or in AWS cloud.
  •  Network based installation
  •  Upgrading kernel using yum
  •  Boot, reboot, and shut down a system normally
  •  Boot systems into different targets manually
  •  Interrupt the boot process in order to gain access to a system
  •  Identify CPU/memory intensive processes and kill processes
  •  Manage tuning profiles
  •  Locate and interpret system log files
  •  Start, stop, and check the status of network services
  •  Securely transfer files between systems
4: Configure & Manage Local Storage
  • List, create, delete partitions on MBR and GPT disks
  •  Working on Logical Volume Manager
  •  Create and remove physical volumes
  •  Assign physical volumes to volume groups
  •  Create and delete logical volumes
  •  Extend file systems
  •  Add new partitions and logical volumes
  •  Create & manage swap file system
5: Create and configure file systems
  • Create, mount, unmount, and use vfat, ext4, and xfs file systems
  •  Mount and unmount network file systems
  •  Extend existing logical volumes
  •  Resizing the partition using lvm
  •  Create and configure set-GID directories for collaboration
  •  Diagnose and correct file permission problems
  •  Understanding Raid levels (0, 1 and 5)
6: Deploy, configure, and maintain systems
  • Schedule tasks using at and cron
  •  Start and stop services and configure services to start automatically at boot
  •  Configure systems to boot into a specific target automatically
  •  Install and update software packages from Red Hat Network, a remote repository, or from the local file system
  •  Working with RPM
  •  Modify the system bootloader
7: Manage basic networking
  • Configure IPv4 and IPv6 addresses
  •  Configure hostname resolution
  •  Configure network services to start automatically at boot
8: Manage users and groups
  • Create, delete, and modify local user accounts
  •  Change passwords and adjust password aging for local user accounts
  •  Create, delete, and modify local groups and group memberships
  •  Configure superuser access
  •  Recovering the super user password
9: System configuration and management
  • System configuration and management
  •  Use network bonding to configure aggregated network links between two Linux systems
  •  Route IP traffic and create static routes
  •  Configure a system to authenticate using Kerberos
  •  Produce and deliver reports on system utilization commands (processor, memory, disk, and network) like SAR
10: Network services

DNS

  •  Understanding how DNS works
  •  Configure DNS client
  •  Troubleshoot DNS client issues

NFS

  •  Setting up NFS server & Clients
  •  Provide network shares to specific clients
  •  Provide network shares to otter linux systems
  • SSH
  •  Configure ssh key-based authentication
  •  Connecting to remote server without root password

NTP

  •  Understanding NTP server & client concepts
  •  Synchronize time using other NTP peers
AWS Topics
1 : Introduction to AWS
  • Navigate the AWS Management Console
  • Recognise AWS Global Infrastructure
  • Describe the security measures AWS provides
  • Create an Amazon EC2 instance
  • Remotely connecting to an EC2 instance
  • Setting up Amazon Linux and Apache web server
  • Browsing Amazon Machine Images (AMI)
  • Specifying security groups and key pairs

Creating new images off of running instances

2: AWS Storage
  • Identify key AWS storage options
  • Describe Amazon EBS
  • Use Amazon EBS with Amazon EC2
  • Working with Volumes and snapshots

Transmitting data in/out of the Amazon cloud

3: Installing Software in your Amazon Instance
  • Implementing a Web server in an Amazon Linux/Windows Instance
  • Configure the firewall to access a Web server
4: Security in Public Cloud
  • Security issues in Public Cloud
  • Securing the Access : Creating a RSA Public/Private Key for VMs
  • Creating a software firewall
  • Configuring firewall rules
  • Securing the access with an Elastic IPs

Managing users with Identity Access Management (IAM)

5: Alternate access
  • Using EC2 Command Line APIs [from Windows/Linux machines]
6: Simple Notification Services [to be seen along with Auto Scaling
  • Using SNS to send Notifications
7: Amazon S3 Basics
  • Creating Buckets
  • Creating Folders
  • Uploading Objects
  • Making Objects Public
  • Creating Buckets
  • Securing Bucket/Object access
  • Configuring a Bucket as a Static Web Page
  • Controlling Life Cycle of a Bucket

Accessing Amazon Buckets from Windows/Linux desktops/Servers

8: AWS-RDS
  • Overview of AWS RDS
  • Launching a MySQL Database in RDS
  • Creating Backups/Snapshots and Read-Only DBS
  • Connecting to RDS-DB using local DB-Clients

Terminating a DB instance

9: AWS-IAM
  • Creating Groups and Defining access policy
  • Creating Users

Login to AWS account using new users

10: Installing Software in your Amazon Instance
  • Implementing a Web server in an Amazon Linux/Windows Instance
  • Configure the firewall to access a Web server
11: Load-balancing with EC2 and Auto Scaling
  • Creating and using Load Balancers.
  • Distributing incoming traffic with elastic load balancing.
  • Dynamically adding and removing instances with Auto Scaling.
12: CloudWatch to be seen along with Auto Scaling
  • Overview of Monitoring and Setting Alarms
  • Visualising utilization metrics with CloudWatch
  • Setting alarms to send and receive notifications
13: Virtual Private Cloud
  • Create a VPC [VPC with a Single Public Subnet]
  • Create and attach an Internet gateway
  • Create an Amazon VPC subnet
  • Set up routing in the VPC
  • Set up a security group to control the inbound and outbound traffic
  • Launch an instance into the subnet
  • VPC console to allocate an Elastic IP address and assign it to the instance
  • Amazon EC2 console to terminate your instance and the Amazon VPC console to delete your VPC
14: AWS-CloudFront
  • Concepts of AWS-CloudFront
  • Host a Website with CloudFront
15: AWS-Route53
  • Creating a Failover setup for Load Balancers running in different AWS regions [users need to have a registered Domain]
  • Health Check is a private website
16 : AWS-CloudTrial
  • Using CloudTrial to trail the API Calls
17 : AWS System Manager
  • Run command
  • Compliance
  • Patch Manager
18 : AWS Cost Management
  • AWS Cost Explorer
  • AWS Budgets
  • AWS Marketplace Subscriptions
Devops Topics
Introduction to Devops and Dev sec ops
  • Introduction to DevOps
  • What is DevOps?
  • SDLC models, Lean, ITIL, Agile
  • Why DevOps?
  • History of DevOps
  • DevOps Stakeholders
  • DevOps Goals
  • Important terminology
  • DevOps perspective
  • DevOps and Agile
  • DevOps Tools
  • Configuration management
  • Continuous Integration and Deployment
Introduction to SDLC ,Software testing , Agile : Software testing lifecycle
  • Working with Block box testing
  • Working with White box testing
  • Working Grey box testing
  • Working with Function testing
  • Working with Regressing testing, smoke testing, System testing, Integration testing etc.
Agile Methodologies
  • Process flow of Scrum Methodologies
  • Project planning, scrum testing, sprint Planning, and Release management
  • Analysis
  • Design, Execution and wrapping closure
LINUX Administration
  • Introduction to Linux Families (ex: Redhat & Debian Family)
  • working with APT and YUM and Dnf
  • Working with AWK and SED commands
Installation and Initialization
  • Installation, Package Selection
  • Anatomy of a Kick start File, Command line
  • Introduction to Bash Shell
  • System Initialization, Starting the Boot Process: GRUB.
Boot and Package Management
  • Securing single-user mode (su login)
  • Shutting down and rebooting the system
  • RPM Package Manager, Installing and Removing Software, Updating a Kernel RPM
  • Yum Command set, Install packages by using yum.
  • Apt-get command set, Apt-cache package management
Version Control using Git
Using Git
  • Overview of SVN, GIT , Clear case , perforce & Comparison
  • Introduction of Git
  • Selecting Git Client
  • Creating Repository
  • Working with Tag
  • Creating and Merging Branches
  • Executing Git Commands
  • Git Logs , Git stash, Git rebase
  • Merge conflict issues resolving
  • Git pull , clone , fetch
Docker Modules
Getting Started with Docker
  • Introduction to Docker.
  • What’s under the hood - Namespaces, Cgroups and OverlayFS
  • Understanding Virtualization
  • Virtualization vs Container
Docker Installation
  • Creating a Virtual Docker Host(CentOS) by using Vagrant
  • Installing Docker on CentOS
  • Introduction to Docker namespaces
Docker Images
  • Introduction to Docker Images
  • Building a Docker Image with a Dockerfile
  • Sharing Data in Your Docker Host with Containers
  • Sharing Data Between Containers
  • Copying Data to and from Containers
  • Creatoing Docker Hub Account.
  • Building Images using DockerFile.
  • Pull and Push Images From/To Docker Hub.
Docker Networking
  • Introduction to Docker Networking
  • Finding the IP Address of a Container
  • Setting Up a Custom Bridge Network for Docker
Container Operations
  • Port Mapping for Docker
  • Creating, Starting, Stopping, Renaming, Removing Containers
  • Inspacting Containers
  • Limiting Rrsoruces Memory and CPU
  • Prioritizing CPU Utilization
Docker Compose
  • Introduction to Docker compose
  • Creating Docker compose file
  • Executing Docker Compose file
Jenkins Modules
Introduction to Continuous Integration and Jenkins-CI/CD
  • What is Continuous Integration
  • Jenkins Continuous Integration
  • What is Continuous Deployment
  • Jenkins Vs Jenkins Enterprise
Jenkins Installation
  • Downloading and Installing Jenkins using TomCat
  • Creating Jenkins as a Service.
  • Starting and Stopping Jenkins
Configure Jenkins and User Management
  • Secure Jenkins
  • Create a new user
  • Generate ssh key for Jenkins user
  • Plug-in management
Jenkins jobs setup
  • Setting up a Jenkins job (Freestyle, Pipeline, maven, MSBuild, Pybuild)
  • Jenkins parametrized jobs setup (choice params, boolean params, etc)
  • Email notification jobs
  • Parallel jobs configuration
  • nodes (slaves) configuration
Jenkins Integration
  • Git integration with Jenkins
  • Maven Integration with Jenkins
  • ansible, artifactory integration
  • Docker and scanning tool integration
  • AWS and code review tool
Jenkins User administration
  • Role based administration
  • Project based administration
  • Metric based administration
  • Slaves configuration
  • Users and groups creation
Kubernetes
Introduction to Kubernetes
  • The need for a Container Orchestration Engine
  • Battles of COEs, which one to choose
  • Key Features of a COE.
  • What makes Kubernetes the defacto COE choice.
  • Negatives of using Kubernetes
Key Concepts of Kubernetes
  • Namespaces
  • Pods
  • Replica Sets and Deployments
  • Service Discovery and Load Balancing
  • Configmaps, Storage, Network, RBAC
  • Statefulsets, Crons and Jobs
  • Kubernetes Architecture
Setting up Environment
  • Provisioning and configuring on AWS
  • Initialize Cluster with kubeadm
  • Setting up Weave CNI
  • Launching Kubernetes Dashboard
  • Setting up a Kubernetes Visualizer
  • Resetting cluster created with kubeadm
Shell Scripting
Introduction
  • Kernel
  •  Shell
  •  How to use Shell
  •  Common Linux Command Introduction
  •  Linux commands related to the process
  •  Redirection of Standard output/input
  •  Redirectors
  •  Pipes & Filters
  •  How to Run Shell Scripts
  •  Quotes in Shell Scripts
  •  Shell Arithmetic
  •  Command Line Processing (Command Line Arguments)
  •  Exit Status
  •  Filename Shorthand or meta Characters (i.e. wild cards)
Python Scripting
Overview
  • Overview
  • Why do we need Python?
  • Program structure
  • Environment Setup
  • Python Installation
  • Execution Types
  • What is an interpreter?
  • Interpreters vs Compilers
  • Using the Python Interpreter
  • Interactive Mode
  • Running python files
  • Working with Python shell
  • Integrated Development Environments (IDES)
  • Interactive Mode Programming
  • Script Mode Programming
Operators in Python
  • Types of Operator
  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Bitwise Operators
  • Python Logical Operators
  • Python Membership Operators (in, not in)
  • Python Identity Operators (is, is not)
  • Python Operators Precedence
Basic Concepts in Python
  • Data Types
  • Variables
  • Assigning Values to Variables
  • Multiple Assignment
  • Python Numbers
  • Python Strings
  • Accessing Values in Strings
  • String Special Operators
  • String Formatting Operator
  • Triple Quotes
  • Built-in String Operations
Python Lists, Tuples and Dictionaries
  • Accessing Values in Lists
  • Updating Lists
  • Delete List Elements
  • Basic List Operations
  • Indexing, Slicing, and Matrixes
  • Built-in List Functions & Methods
  • Python Tuples
  • Accessing Values in Tuples
  • Updating Tuples
  • Delete Tuple Elements
  • Basic Tuples Operations
  • Indexing, Slicing, and Matrixes
  • No Enclosing Delimiters
  • Built-in Tuple Functions
  • Python Dictionary
  • Accessing Values in Dictionary
  • Updating Dictionary
  • Delete Dictionary Elements
  • Properties of Dictionary Keys
  • Built-in Dictionary Functions & Methods
Loops and Decision Making
  • If statements
  • Else statements
  • Nested if statements
  • While loop
  • For loop
  • Nested loops
  • Loop Control Statements
  • Break statement
  • Continue statement
  • Pass statement
Functions
  • Defining a Function
  • Syntax
  • Calling a Function
  • Pass by reference vs value
  • Function Arguments
  • Required arguments
  • Keyword arguments
  • Default arguments
  • Variable-length arguments
  • The return Statement
  • Scope of Variables
  • Global vs. Local variables
Python Modules and Packages
  • Framework vs Packages
  • Why are modules used?
  • The import Statement
  • The from...import Statement
  • The PYTHONPATH Variable
Basic OOPs Concepts
  • Creating class in Python
  • Documented String
  • Private Identifier
  • Constructor
  • Inheritance
  • Polymorphism
File Manipulation
  • Opening Text File
  • Working with a File in Python
  • The open function
  • File modes
  • The file object attributes
  • Close() method
  • Write() method
  • Read() method
  • File input and output
  • Reading files
  • Renaming & deleting files
  • Writing into a file
  • Remove() method
Python GUI
  • Basic Operations using Tkinter
  • Buttons and Textbox
  • Menu Bar
  • Message Box and Radio Button
  • Checkbox and Event Creating
Other Concepts
  • Errors and Exception Handling
  • Standard exceptions
  • What is an Exception?
  • Handling an exception
  • Syntax
  • The except Clause with No Exceptions
  • The except Clause with Multiple Exceptions
  • The try-finally Clause
  • List Comprehensive
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About AWS Devops master program

Yes, we arrange minimum 10 interview after completing the course, we are 100% sure that this course will get a job within a month because the course content is developed by a many senior devops engineers. we have covered 90% of the skills required to become a devops expert.

Coding not required. we cover basics of python programming for automation purpose.

But if you have prior knowledge of programming then it will help you to quickly grasp the things faster.

All the trainers are working professionals with in 7 years of experience in the industry.

  • Linux administration
  • AWS cloud
  • Devops Tools
  • Python scripting
  • Shell scripting
  • Above skills are good enough to start a career in devops.

Refer to training options section

Yes Defnitely. There is a EMI option with 0% interest rate.

Around 5 Months.

Dont worry, We keep sending you for the interviews until you are successful.

Depends on how many sessions you have attended, please refer to our refund policy.

Certification

Our Top Instructors

Career after Master Program in AWS Cloud DevOps

  • A Master's Program in AWS Cloud-Devops can open doors to numerous career opportunities in the cloud computing industry. With the increasing demand for cloud infrastructure and automation, professionals with expertise in AWS and DevOps are in high demand.
  • By completing a Master Program in AWS Cloud-Devops, you can qualify for various job roles such as AWS Cloud Architect, AWS DevOps Engineer, Cloud Solutions Architect, and Cloud Infrastructure Engineer. You can also work with prominent companies across various industries and domains, ranging from healthcare to finance, e-commerce to media, and more.
  • As a professional in the field of AWS Cloud-Devops, you can be responsible for designing and deploying cloud solutions, building and managing infrastructure and implementing automation and DevOps practices. You can also lead teams and collaborate with stakeholders across various departments to achieve business goals.
  • Overall, pursuing a career in AWS Cloud-Devops can be a rewarding experience, both professionally and financially. With the right skills and knowledge, you can leverage the opportunities available in the industry and grow your career to new heights.
Career

Course Reviews

Frequently Asked Questions

Yes, we will help you get hired as we have a dedicated department that looks after the placement of our trainees.

It is the process of writing a program using UNIX or Linux that automates repetitive tasks such as program execution or file manipulation.

Linux administrators are given the role of managing computer systems, take backups using tools of Linux such as its command line.

UNIX is the original OS that gave birth to Linux. Linux could be defined as a clone of UNIX. UNIX has its core code developed by the American giant AT&T Labs.

When multiple remote servers are connected using a dedicated network and used for  retrieving or storing data then this IT infrastructure is called cloud computing.

This training program will polish your CV as an IT professional. You will also be  exposed to live projects and real-world scenarios. Furthermore, the demand for cloud  computing experts is rising exponentially and at the same time, the pay scales offered 
 by employers are impressive – to state the least!

System Administration skills AWS Cloud Platform All known DevOps tools

  •  United Kingdom
  •  United States
  •  Germany
  •  Canada
  •  Switzerland
  •  Australia
  •  Sweden
  •  Singapore
  •  Ireland
  •  New Zealand

Every company these days, are migrating to the cloud as it offers more speed, efficiency and security. This is the reason why cloud service providers are always on the hunt for skilled  AWS experts whether it is in India or overseas!

Entry-level AWS experts will get an average salary of ₹4, 80,000 per annum and senior-level AWS experts will be paid an average salary of ₹3,000,000 per annum.

You can earn $130,883 annually as an AWS expert in the USA.

You can earn £75,000 annually as an AWS expert in the UK.

  • ContusS
  • Netflix
  • Tata Consultancy Services
  • e-Zest Solutions
  • Veritis
  • Algoworks
  • FlipKart
  • To The New
  • Blazeclan Technologies
  • Amazon
  • Etsy
  • Nous Infosystems
  • Target
  • NASA and
  • Hertz – are some of the many companies that have a dedicated DevOps
  • department within its official premises.

A DevOps expert would need to have a strong grip over the following

  • programming languages –
  • Java
  • JavaScript
  • Ruby
  • Python
  • PHP and
  • Bash.

The most commonly used tools by a DevOps engineer are as follows –

  • GitHub
  • Nagios
  • Docker
  • Vagrant
  • Slack
  • Jenkins
  • Ansible and
  • Phantom.

Yes, a DevOps engineer should abide by the following best practices –

  • Collaboration
  • Continuous Integration
  • Communication
  • Using infrastructure as code
  • Continuous Delivery
  • Microservices
  • Monitoring and
  • Logging.

All courses available online  & Offline classes are available in Bangalore, Pune, Chennai only.

It is mentioned under the training options. Online, Offline & self paced learning course fees differs.

Course duration is 2 months or 60 Hrs Usually daily 2 hrs.
 

Yes, We provide course completion certificate on web design & development. apart from this there is 1 more certificate called as “ Apponix Certified Professional in Master Program in Cloud Devops”
If you score more than 80% in the exam you will be awarded as “Apponix Certified Professional”

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.
 

All our trainers are working professional having more than 6 years of relevant industry experience.

Our Recent Placements

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Master Program in AWS Cloud Devops

You can consider us as one of the premier training institutes in India as we have been doing this since 2013. Our DevOps course is often hailed as one of the best DevOps certification courses currently available in India by our past students.

The curriculum we follow for your azure DevOps certification course allows you to learn all you need to improve the development and operational activities of the IT teams you will be leading at your future employer.

For more details such as the DevOps certification cost, you can contact us now!

Which companies hire DevOps engineers with no experience?

  • Amazon
  • Netflix
  • Algoworks
  • FlipKart
  • To The New
  • Blazeclan Technologies
  • ContusS
  • Tata Consultancy Services
  • e-Zest Solutions
  • Veritis
  • Nous Infosystems
  • Etsy
  • Target
  • Hertz
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