Course Description

AWS Certified DevOps Training and Placement Training in Chennai

The AWS DevOps Training and Placement in Chennai at BITA Academy is trained by AWS Certified IT Experts. As part of this course, you will be knowing the importance of AWS Cloud. Our training module is completely Real-Time practical oriented training from Top IT company employees, at the end of AWS Training, you will be a Master’s in AWS Cloud, Security, DevOps, and Solution Architect. Our Training module is 100% Certification and Placement Guarantee.

Syllabus

Introduction to Cloud Computing
A Short history
Client-Server Computing Concepts
Challenges with Distributed Computing Introduction to Cloud Computing
Why Cloud
Cloud Computing Deployment Models
Private Cloud
Public Cloud
Hybrid Cloud
Cloud Delivery/Service Models
Software as a Service (SaaS)
Platform as a Service ( PaaS)
Infrastructure as a Service ( IaaS)
Linux Basics
Linux basic Commands
Linux basic Administration Computing?
Benefits of Cloud Computing
Introduction to AWS Services
Amazon Elastic Compute Cloud (EC2)
Amazon Simple Storage Service (S3)
Elastic Block Storage (EBS)
Elastic Load Balancing (ELB)
Amazon Relational Database Service (RDS)
Amazon Dynamo DB
Auto Scaling
Amazon EIastiCache

Identity and Access Management (IAM)
Virtual Private Cloud (VPC)
Cloud Formation
Simple Email Services (SES)
Simple Queue Services (SQS)
Simple Notification Services (SNS)
Serverless computing (Lambda)
Import/Export (Snowball)
Code Commit
Cloud Trail
Elastic Beanstalk Cloud Front
Route-53
Glacier
Key Management Service ( KMS)

DevOps Syllabus

Introduction to cloud computing
What is cloud computing
Datacenter
How cloud computing works
Types of cloud services
Types of Cloud
Linux Overview
Linux Basics
System Administration
Overview of AWS services
Identity Access Management

Amazon Elastic Compute Cloud
Amazon Simple Storage Services
Virtual Private Cloud
Simple Storage Service
Elastic Load Balancer
Autoscaling
CloudWatch
CloudTrail
SNS
Glacier
RDS
DynamoDB
Route53
Introduction to DevOps
AWS CLI
Boto3
Git Hub
Python
AWS Lambda:
Setting up Lambda Function’s for routine jobs i.e
Stage/testing server stop and start during the weekend,
Configuring the DR setup by taking Snapshot/AMIE of Production instances
and moving the backups to DR location,
Setting up 6hrs once backup in Production servers and two times backup for
stage/test servers.
AWS Cloud Formation:

Creating and Managing the Cloud Formation Template i.e
Creating the Cloud formation template for new infrastructure
implementation.
Executing the existing template by creating a new Stack in cloud Formation.
Capturing the existing running resource using cloud former tool and
converting them as a new template

Jenkins:
Setting up a Jenkins job’s for routine works i.e
EBS Volume Encryption.
Production server’s backup into S3 storage.
Cloud Watch monitoring the logs into S3/Glacier storage.
Configuring the DR setup by taking Snapshot/AMIE of Production instances
and moving the backups to DR location,
Installing and managing the add-on plugins.
Executing the simple commands to get output from windows and Linux
Servers.
Ansible:
Configuring and managing the Ansible master and Client environment.
Installing packages to Ansible clients.
Pulling reports from Ansible Clients.
Applying various modules like Copy, service, shell, Yum.
Rarely interacting with AWS, to create and resource.
Writing the playbook for Ansible clients when we doing multiple tasks.
Salt Stack:
Configuring and managing the Salt master and Minion Client environment.
Installing salt minion agents package to salt minion clients and establishing
the communication,
Pulling reports from minion Clients

Working with system services, Installing the packages, executing the
commands which can be done remotely.
Dockers Container:
Creating the docker container for hosting the application, which reduces some
risk while comparing the Hypervisor Virtual Machine.
Pulling various images from Dockers Hub, and making them as containers as
required.
Installing packages to docker containers, transferring the required files from
source machine.
Handing multiple containers and backing up and restoring when required

Syllabus

Introduction to Cloud Computing
A Short history
Client-Server Computing Concepts
Challenges with Distributed Computing Introduction to Cloud Computing
Why Cloud
Cloud Computing Deployment Models
Private Cloud
Public Cloud
Hybrid Cloud
Cloud Delivery/Service Models
Software as a Service (SaaS)
Platform as a Service ( PaaS)
Infrastructure as a Service ( IaaS)
Linux Basics
Linux basic Commands
Linux basic Administration Computing?
Benefits of Cloud Computing
Introduction to AWS Services
Amazon Elastic Compute Cloud (EC2)
Amazon Simple Storage Service (S3)
Elastic Block Storage (EBS)
Elastic Load Balancing (ELB)
Amazon Relational Database Service (RDS)
Amazon Dynamo DB
Auto Scaling
Amazon EIastiCache

Identity and Access Management (IAM)
Virtual Private Cloud (VPC)
Cloud Formation
Simple Email Services (SES)
Simple Queue Services (SQS)
Simple Notification Services (SNS)
Serverless computing (Lambda)
Import/Export (Snowball)
Code Commit
Cloud Trail
Elastic Beanstalk Cloud Front
Route-53
Glacier
Key Management Service ( KMS)

DevOps Syllabus

Introduction to cloud computing
What is cloud computing
Datacenter
How cloud computing works
Types of cloud services
Types of Cloud
Linux Overview
Linux Basics
System Administration
Overview of AWS services
Identity Access Management

Amazon Elastic Compute Cloud
Amazon Simple Storage Services
Virtual Private Cloud
Simple Storage Service
Elastic Load Balancer
Autoscaling
CloudWatch
CloudTrail
SNS
Glacier
RDS
DynamoDB
Route53
Introduction to DevOps
AWS CLI
Boto3
Git Hub
Python
AWS Lambda:
Setting up Lambda Function’s for routine jobs i.e
Stage/testing server stop and start during the weekend,
Configuring the DR setup by taking Snapshot/AMIE of Production instances
and moving the backups to DR location,
Setting up 6hrs once backup in Production servers and two times backup for
stage/test servers.
AWS Cloud Formation:

Creating and Managing the Cloud Formation Template i.e
Creating the Cloud formation template for new infrastructure
implementation.
Executing the existing template by creating a new Stack in cloud Formation.
Capturing the existing running resource using cloud former tool and
converting them as a new template

Jenkins:
Setting up a Jenkins job’s for routine works i.e
EBS Volume Encryption.
Production server’s backup into S3 storage.
Cloud Watch monitoring the logs into S3/Glacier storage.
Configuring the DR setup by taking Snapshot/AMIE of Production instances
and moving the backups to DR location,
Installing and managing the add-on plugins.
Executing the simple commands to get output from windows and Linux
Servers.
Ansible:
Configuring and managing the Ansible master and Client environment.
Installing packages to Ansible clients.
Pulling reports from Ansible Clients.
Applying various modules like Copy, service, shell, Yum.
Rarely interacting with AWS, to create and resource.
Writing the playbook for Ansible clients when we doing multiple tasks.
Salt Stack:
Configuring and managing the Salt master and Minion Client environment.
Installing salt minion agents package to salt minion clients and establishing
the communication,
Pulling reports from minion Clients

Working with system services, Installing the packages, executing the
commands which can be done remotely.
Dockers Container:
Creating the docker container for hosting the application, which reduces some
risk while comparing the Hypervisor Virtual Machine.
Pulling various images from Dockers Hub, and making them as containers as
required.
Installing packages to docker containers, transferring the required files from
source machine.
Handing multiple containers and backing up and restoring when required