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AWS DevOps Training in Madurai

AWS DevOps training in Madurai

Getin Technologies AWS DevOps Training in Madurai is about cloud computing and automation – nothing short. This training is suited for individuals who wish to make use of AWS services to the fullest and DevOps rather complex applications and different environments. You will get your hands on important AWS tools such as CodePipeline, CodeBuild and CloudFormation which will help you deploy and manage the workflows. You will familiarize with managing the CI/CD pipeline, observing the health status of applications and cloud usage efficiency by practical labs as well as real-world assignments. Understand how to protect your infrastructure as well as provide compliance to risk management so that operations can run smoothly yet safely. This course will be extremely beneficial for you whether you are at the beginning of your career in DevOps or wish to improve the already acquired level.

Come to Getin Technologies AWS DevOps Training in Madurai and learn how to turn into AWS DevOps professional and become the ‘cloud change agents’ you dream of being!

Our Key Features of AWS DevOps Training in Madurai

AWS DevOps Placement

100% placement assistance is provided for AWS DevOps Training. We guide and get you referred for top positions that best fit you.

Industry Expert Trainers

Experience real-world career guidance by the industry’s best trainers who have been here and done it.

Real World Project

Work on real-world projects that help in applying your skills in solving practical problems. Build a portfolio that showcases your ability to handle industry challenges.

Softskill Training

It helps our trainees to improve communication, teamwork, and problem-solving skills. It prepares you for success in interviews and in the workplace as well.

Dedicated Placement Cell

Our placement cell supports you so that you get your desired job. The cell help to builds the resumes, trains you for interviews, and helps you achieve your ideal job.

Mock Interview Session

Our Mock Interview Session is designed to prepare you for real-world job interviews, boosting your confidence and increase your chances of success.

Who Can get Placements through AWS DevOps Course ?

Freshers (2023 - 2025 Passout)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom

Not Eligible: Diploma

Year Gap (2010 - 2022 Passout)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom

Not Eligible: Diploma

Experienced

Share your resume to Our WhatsApp +91 8925831826. Our Placement Team will Validate your Profile and get back to you shortly.

Skills You'll Learn

AWS

DevOps

Kubernates

Docker

Git/GitHub

Jenkins

Jira

Ansible

Minikube

Unlock exclusive savings on our courses with personalized coupon codes –  Contact us now to elevate your learning experience at a discounted Price! (Only Online Class)

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AWS DevOps Training in Madurai Syllabus - Module 1

AWS DevOps training with placements

AWS DevOps Training in Madurai Syllabus - Module 2

AWS DevOps Training sylabus

Course Syllabus for AWS DevOps Training in Madurai

Installation and Initialization

  • Installation, Package Selection
  • Anatomy of a Kickstart File, Command line
  • Introduction to Bash Shell
  • System Initialization, Starting the Boot Process: GRUB

Boot and Package Management

  • Configuring services to run at boot
  • 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

User Administration

  • Understanding different types of groups and creation of groups
  • Creation of users in different groups
  • Understanding Passwd, Shadow Files
  • Understanding password aging
  • Creation of quotas for users, groups and file systems
  • Understanding users security files
  • The different commands for Monitoring the users
  • TROUBLESHOOTING
  • Automation of jobs – Cron, at

Run levels

  • Understanding the different types of run-levels
  • Understanding different types of shutdown commands
  • Understanding run control scripts
  • Understanding the different types

Overview of the Service Protocols

  • FTP
  • DHCP
  • DNS
  • Apache
  • Samba
  • LVM

Why Cloud ?

  • Why Cloud and What is Cloud Computing?
  • Identify the features and benefits of cloud computing
  • Different types of Cloud Computing deployment model
  • Public Cloud, Private Cloud, Hybrid Cloud
  • Virtualization – An essential in cloud
  • Virtualization in Cloud model
  • Different types of virtualization
  • Hypervisor – Benefits
  • Different types of services and its difference in Cloud computing
  • IaaS, PaaS, SaaS
  • Importance of scaling in cloud computing
  • Different types of scaling and its applications
  • Issues we overcome using cloud and applications
  • Cost model that we use in cloud computing

AWS – An overview

  • Describe the features of AWS
  • The features of AWS marketplace
  • Describe the features of Amazon Compute Services
  • Describe the features of Amazon Storage Services
  • Describe the features of Amazon Network Services
  • Describe the features of Amazon Database services
  • Describe about various services in AWS
  • Global Infrastructure – Regions and Availability Zones
  • Create a free tier account in AWS and onboarding
  • Introduction AWS management console

Understand Identity Access Management (IAM) of AWS

  • Protect your AWS by different authentication system
  • Password policies set for users
  • AWS User Account and Groups in detail
  • Creating custom policies in AWS
  • Introduction about Roles and its use
  • Creating Roles and associating policies
  • Creating programmatic access and management console access for users
  • Associating policies to the user and groups

EC2 Instance

  • Describe AMI and AWS Marketplace templates
  • Launch a basic EC2 instance
  • Different types of Instances Reserved, On-demand, Spot, Dedicated
  • Security groups and tags for EC2 instance
  • Public key – Private key introduction and protecting EC2 with keys
  • Attaching and detaching EBS volumes
  • Launch an ec2 instance from an AMI
  • Create custom AMI and working with different region
  • Make use of amazon EBS volume and create snapshots
  • Manage the configuration of your application
  • Deploying a new instance from the created AMI

Auto-scaling

  • Get Started with Auto Scaling Using the Console
  • Creating Launch configurations and make use of it for autoscaling groups
  • Maintain a Fixed Number of Running EC2 Instances
  • Dynamic Scaling
  • The lifecycle of autoscaling
  • Policies of autoscaling

Load Balancing

  • Introduction to Loadbalancer (ELB)
  • Different types of Load Balancer in AWS
  • Application Load balancer
  • Network Load balancer
  • Classic Load balancer
  • Migrating classic load balancer to new load balancer
  • Components and types of load balancing

EBS (Elastic Block Storage)

  • Create EBS volumes
  • Delete EBS Volumes
  • Attach and detach EBS volumes with EC2 instance
  • Creating and deleting snapshots

Object Storage in Cloud

  • Understanding S3 durability and redundancy
  • Introduction about S3 Buckets
  • How S3 Uploading works and how to Download
  • How to S3 Permissions
  • How to implement S3 Object Versioning S3 Lifecycle Policies
  • Storage Gateway
  • Import Export
  • S3 Transfer Acceleration
  • Glacier storage

CloudFront

  • Describing cloud front
  • Creating a cloud front distribution
  • Hosting a website of cloud front distribution
  • Implementing global restrictions
  • Configuring origins and behaviors

Route 53

  • Describe Hosted zones and Domain name understanding
  • How to create hosted zones
  • Hosting a website with custom domain name
  • Understanding routing policies

AWS Security Management

  • Describing Security Practices for Cloud Deployment
  • AWS Shared Responsibilities and Securities
  • Importance of Cloud Trail
  • Describing Trust advisor

Amazon Virtual Private Cloud (VPC)

  • Introduction to Amazon Virtual Private Cloud (VPC).
  • VPC Advantages and understanding IP addressing CIDR
  • Default and Non-default VPC
  • Different Components in VPC
  • Describe, create, and manage Amazon Virtual Private Cloud
  • Amazon VPC, Private Subnet, and Public Subnet
  • AWS Networking, Security Groups, and Network ACLs
  • Configuration and management of VPN connectivity
  • Subnet and Subnet Mask

Relational Database Service (RDS)

  • Introduction to RDS
  • Different database services of AWS: Amazon RDS, Dynamo DB, Redshift
  • Create MYSQL RDS Instance, Oracle RDS Instance, MS SQL RDS Instance
  • Configuring the database
  • Configuring backups
  • Configuring the maintenance windows
  • Connecting to the database

DynamoDB

  • Creating a dynamo dB
  • Adding data manually
  • Learn about strong and eventual consistency
  • Calculating Read write consistency
  • Configuring alarms

Monitoring Services

  • Knowledge on Cloud watch – A monitoring service
  • Create and Configuring Monitoring services
  • How to perform Setting thresholds and Configuring actions
  • Creating a cloud watch alarm
  • Getting statistics for ec2 instances
  • Monitoring other AWS services
  • Configuring Notifications
  • Integrating cloud watch with Autoscaling

Application Services – An Overview

  • What is SNS
  • Creating a topic
  • Create subscription
  • Subscribed to the subscription
  • SQS & SES
  • Lambda and Elastic Beanstalk

AWS Troubleshooting

  • Troubleshooting EC2 instance
  • Troubleshooting using Cloud watch
  • Troubleshooting using ELB
  • Troubleshooting by using Cloud front

AWS Architecture and Design

  • Backup and Disaster Recovery
  • How to manage Disaster Recovery and Backups
  • Best Practice for DR and Backups
  • AWS High Availability Design

Introduction to DevOps

  • History of DevOps
  • DevOps principles
  • Benefits of DevOps
  • DevOps tools and

Source Code Management:

  • GIT
  • GITHUB

Continuous Integration and Continuous Deployment

  • Jenkins

Configuration Management

  • Ansible

Containerization

  • Docker

Monitoring and Logging

  • Splunk
  • Prometheus

Infrastructure Automation

  • Terraform

Case studies and projects

  • Real-world use cases of DevOps principles and practices, and projects to apply what you have learn

Agile and DevOps:

  • Agile methodologies
  • Agile and DevOps integration
  • Agile

Case studies and projects

  • Real-world use cases of DevOps principles and practices, and projects to apply what you have

Kubernetes Introduction

  • Kubernetes Evolution
  • What is Kubernetes ?
  • Use Cases of Kubernetes
  • Working of Kubernetes
  • Installation of Kubernetes

Kubernetes – Architecture

  • Understanding Kubernetes Architecture
  • What are Kubernetes objects
  • What are YAML files?
  • Kubernetes Master Introduction
  • Components of Kubernetes Master
  • Node Components Introduction

Pods and Services

  • What are Pods?
  • What is deployment
  • What are replication controller
  • stateful and demon sets
  • Introduction to Kubernetes services and its types
  • Jobs
  • Horizontal Pod Autoscaling
  • Load Balancing
  • Rolling Updates

Volumes

  • What are volumes?
  • Types of volumes
  • Persistent volumes
  • Introduction to secrets
  • Taints and tolerations
  • Managing stateful application

Kubernetes – Autoscaling

  • Auto Scaling Introduction
  • The Horizontal Pod Auto scaler
  • The Kubernetes metrics registry
  • Exposing metrics from your apps
  • Installation and configuration Prometheus
  • Understanding custom and external metrics adapters
  • Tuning the Horizontal Pod Auto scaler

Logging & Monitoring

  • Monitor cluster using Prometheus
  • Visualize logs using EFK stack
  • Deploy jobs to run tasks to completion
  • Manage etcd cluster
  • Use Helm Charts

Introduction to Python

  • What are Python and the history of Python?
  • Unique features of Python
  • Install Python and Environment Setup
  • First Python Program
  • Python Identifiers, Keywords, and Indentation
  • Comments and document interlude in Python
  • Command-line arguments
  • Getting User Input
  • Python Data Types
  • What are the variables?

Control Statements

  • If
  • If-elif-else
  • while loop
  • for loop
  • Break
  • Continue
  • Assert
  • Pass
  • return

List, Ranges & Tuples in Python

  • Introduction
  • Lists in Python
  • Generators and Yield
  • Generators Comprehensions and Lambda Expressions
  • Next() and Range()
  • Understanding and using Range

Python Dictionaries and Sets

  • Introduction to the section
  • Python Dictionaries
  • More on Dictionaries
  • Sets

Python built-in function

  • Python Modules & Packages
  • Python User defined functions
  • Defining and calling Function
  • The anonymous Function

Python Object Oriented

  • Overview of OOP
  • Creating Classes and Objects
  • Constructor
  • The self variable
  • Types Of Variables
  • Namespaces
  • Inheritance
  • Types of Methods
  • Instance Methods Static Methods Class Methods
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • Abstract classes and Interfaces
  • Abstract Methods and Abstract class
  • Interface in Python
  • Abstract classes and Interfaces

If you want to Customize the Course Syllabus for AWS DevOps, Call us to    +918925831828

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School Student Offer

offer30% Offer for School Students from Total Course Fees.

1. Bring Valid School ID Card while Admission.

2. 6th – 12th Std can enroll this course.

3. Terms and conditions apply.

College Student Offer

Offer20% Offer for College Students from Total Course Fees.

1. Bring Valid College ID Card while Admission.

2. All Stream (Arts & Engineering) students can use this offer.

3. Terms and conditions apply.

Disabled Student Offer

offer

50% Offer for Disabled Students from Total Course Fees.

1.Bring Govt Approved Disabled Person ID Card while come to admission.

2. Terms and Conditions Apply.

Our Realtime Projects in AWS DevOps Training in Madurai

Continuous Integration/Continuous Deployment (CI/CD) Pipeline Implementation

Design and implement a CI/CD pipeline using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to automate the build, testing, and deployment processes for a web application. Incorporate version control with AWS CodeCommit and leverage AWS CloudFormation for infrastructure as code.

Monitoring and Logging Automation with AWS CloudWatch

Create a solution for monitoring and logging infrastructure and application metrics using AWS CloudWatch. Utilize CloudWatch Alarms for automated notifications on key performance indicators and implement log aggregation and analysis with CloudWatch Logs and CloudWatch Insights.

High Availability and Disaster Recovery Architecture on AWS

Architect a highly available and fault-tolerant system using AWS services such as Amazon EC2, Amazon RDS, Amazon VPC, and Amazon Route 53. Implement automatic scaling, multi-region deployment, and failover strategies to ensure continuous operation and disaster recovery capabilities.

Job Opportunities in AWS DevOps:

  • DevOps Engineer: DevOps practitioners work towards eliminating the distortion across the development and the operational sectors of IT. You can find them designing and maintaining a CI/CD pipeline, overseeing the system health, and also facilitating the process of deployments on the AWS cloud.
  • Cloud Solutions Architect: With AWS in their tool belt, cloud architects create aplastic, stable and fault tolerant cloud designs. Thanks to their virtues in DevOps, it is foregone that there is always a consideration of the deployment’s economic and performance aspects in the concerned solutions.
  • AWS Cloud Engineer: These professionals are also referred to as cloud developers, and they are in charge of the cloud infrastructure and application deployment on AWS. They involve DevOps Tools to enhance and speed the processes of the applications on clouds while keeping their performance and safety in check.
  • Site Reliability Engineer (SRE): SREs work to maintain the health and optimize the performance of applications hosted on the cloud. This is done using automation, monitoring, and performance tuning practices by the use of AWS tools to enable large scale highly available systems.
  • Infrastructure Engineer: Infrastructure engineers are responsible for the design and management of the operating system on a cloud (preferably AWS). They would use their DevOps experience in the Cloud to assist in the activities of provisioning, scaling and monitoring of the cloud by ensuring the infrastructure is deployed supervise able and thus secure.
  • Continuous Integration/Continuous Deployment (CI/CD) Engineer: CI/CD engineers are engineers who construct automated people systems where the systems engage in integration of codes, testing of codes and deployment of codes. They make sure that every modification to the source code is incorporated and thrown out for use within the production environment while cutting down the time spent developing the system.

Virudhunagar Branch (+91 8925831828): AWS DevOps Training in Virudhunagar

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