AWS DevOps - Intellipaat

AWS DevOps Certification Training 1 | P a g e

AWS DevOps

Certification Training

In Collaboration with IBM


Table of Contents

1. About the Program

2. Collaborating with IBM

3. About Intellipaat

4. Key Features

5. Career Support

6. Why take up this course?

7. Who should take up this course?

8. Program Curriculum

9. Project Work

10. Certification

11. Intellipaat Success Stories

12. Contact Us


About the Program

Intellipaat's AWS DevOps certification training, created by industry experts, will help

learners develop skills in AWS and DevOps and subsequently leverage their skills in

implementing DevOps on AWS. In this AWS Certified DevOps Engineer training, you will

gain technical expertise in provisioning, managing, and operating distributed applications.

You will learn CloudFormation, CodeCommit, OpsWorks, etc. Also, several case studies

and hands-on projects are included in the curriculum to ensure that you would be able to

master all that is required to become an AWS Certified DevOps Engineer.

Collaborating with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools.

Top subject matter experts from IBM will share their knowledge in the domain of Cloud

Computing through this training program, which will help you gain the breadth of

knowledge and industry experience.

Benefits for students from IBM

Industry-recognized IBM certificate

Access to IBM Watson for hands-on training and practice

Industry in-line case studies and project work


About Intellipaat

Intellipaat is one of the leading e-learning training providers with more than 600,000

learners across 55+ countries. We are on a mission to democratize education as we

believe that everyone has the right to quality education.

Our courses are delivered by subject matter experts from top MNCs, and our world-class

pedagogy enables learners to quickly learn difficult topics in no time. Our 24/7 technical

support and career services will help them jump-start their careers in their dream

companies.


Key Features

70 HRS INSTRUCTOR-LED

TRAINING

58 HRS SELF-PACED TRAINING

108 HRS REAL-TIME

PROJECT WORK

LIFETIME ACCESS

24/7 TECHNICAL SUPPORT INDUSTRY-RECOGNIZED

CERTIFICATION

JOB ASSISTANCE THROUGH

80+ CORPORATE TIE-UPS

FLEXIBLE SCHEDULING


Career Support

SESSIONS WITH INDUSTRY MENTORS

Attend sessions from top industry experts and get guidance on how to boost

your career growth

MOCK INTERVIEWS

Mock interviews to make you prepare for cracking interviews by top employers

GUARANTEED INTERVIEWS & JOB SUPPORT

Get interviewed by our 400+ hiring partners

RESUME PREPARATION

Get assistance in creating a world-class resume from our career services team


Why take up this course?

The demand for DevOps is at an all-time high, and more than 80% of all companies

have adopted DevOps – Gartner

The average salary of an AWS Engineer is US$130,000 per year – Business Insider

AWS Certified DevOps Engineer holds a maximum value in the marketplace –

Indeed

Our online training will help you learn everything in AWS and DevOps and upgrade your

career. Moreover, getting trained in AWS DevOps from Intellipaat can put you in a different

league when it comes to appearing for job interviews.

Who should take up this course?

System Administrators and Software Developers

Cloud Professionals and Solutions Architects

Project Managers and Technical Leads


Program Curriculum

AWS DevOps Training Course Content

1. INTRODUCTION TO CLOUD COMPUTING & AWS

1.1 What is Cloud Computing?

1.2 How AWS is the leader in the cloud domain

1.3 Various Cloud Computing products offered by AWS

1.4 Introduction to AWS S3, EC2, VPC, EBS, ELB, and AMI

1.5 Getting a detailed understanding of the AWS architecture and AWS

Management Console

1.6 Introduction to AWS EC2

1.7 Comparing Public IP and Elastic IP

1.8 Demonstrating how to launch an AWS EC2 instance

1.9 What is auto-scaling?

1.10 AWS EC2 best practices and cost involved

1.11 Understanding various concepts of backup services in AWS

Hands-on Exercise:

1. Setting up an AWS account

2. How to launch an EC2 instance

3. Process of hosting a website

4. Launching a Linux virtual machine using an AWS EC2 instance

2. DATABASE SERVICES

2.1 Elastic Block Storage (EBS) for block level persistent storage volumes with S3

buckets

2.2 Understanding Amazon RDS and Amazon Aurora that are relational databases

2.3 Amazon DynamoDB, which is a NoSQL database

2.4 Understanding Amazon Redshift, which is a data warehousing product

2.5 Amazon ElastiCache, which is an in-memory data store

2.6 Deploying the AWS database migration service


Hands-on Exercise:

1. Creating an Amazon RDS instance

2. Creating a read replica instance of RDS

3. Creating a table in master RDS

4. Adding data to the master RDS

5. Adding data to the replica RDS

6. Using Aurora to create PostgreSQL and MySQL instances

7. Within DynamoDB, creating a NoSQL table and running queries

3. OBJECT STORAGE

3.1 Introduction to AWS storage

3.2 AWS S3 (Simple Storage Service)

3.3 Creating an AWS S3 bucket

3.4 AWS Storage Gateway

3.5 Understanding the command-line interface (CLI)

3.6 Hosting a static website using Amazon S3

3.7 Amazon Glacier storage for long-term data backup and archiving

3.8 Amazon Snowball for data import/export

Hands-on Exercise:

1. How to run an AWS CLI command

2. Deploying the AWS Storage Gateway for connecting cloud-based storage with

the on-premises software

4. AUTO-SCALING AND LOAD BALANCING

4.1 Understanding Fault Tolerance in AWS

4.2 In-depth study of Elastic Load Balancing

4.3 The types of Load Balancers viz. Classic and Application

4.4 AWS auto-scaling mechanism

4.5 Understanding AWS Management Console

4.6 How to access the Elastic Load Balancing

4.7 Studying AWS SDK, AWS CLI, and Https Query API


Hands-on Exercise:

1. How to create an Elastic Load Balancer (ELB)

2. Configuration of an auto-scaling group

3. Familiarizing with the Management Console

5. VIRTUAL PRIVATE CLOUD

5.1 What is Amazon VPC?

5.2 VPC as a networking layer for EC2

5.3 Getting started with VPC

5.4 Examples

5.5 VPC and subnets

5.6 Default and non-default VPCs

5.7 Components of VPC networking

5.8 IP addressing

5.9 Security

5.10 VPN connections

5.11 Accessing the Internet

5.12 Using AWS PrivateLink to access the services

5.13 VPC supported platforms

Hands-on Exercise:

Create a virtual private network for an AWS EC2 instance and access it over the

Internet via a private network using AWS Private Link

6. APPLICATION SERVICES, AWS LAMBDA, AND CLI

6.1 Introduction to various AWS application services

6.2 Elastic Beanstalk

6.3 Simple Email Services (SES)

6.4 Simple Notification Service (SNS)

6.5 AWS Lambda

6.6 Elastic OpsWorks and CLI

Hands-on Exercise:

1. How to run an app using AWS Elastics Beanstalk


2. Deploying SES to send email

3. Enabling and generating notification service

4. Using AWS Lambda to copy an object

5. Modeling and provisioning your app with AWS OpsWorks

7. IAM AND MONITORING

7.1 Authentication (who can use) and authorization (level of access)

7.2 IAM Policies – JSON structure, users, groups, and their roles

7.3 IAM HTTPS API

7.4 Logging IAM events with AWS CloudTrail

7.5 Monitoring and managing AWS resources using CloudWatch

7.6 Deploying configuration alerts and notifications with CloudWatch

7.7 Billing for CloudWatch

Hands-on Exercise:

1. How to create a JSON document using which the access policy for groups and users is defined

2. Logging IAM events using AWS CloudTrail

8. CONFIGURATION MANAGEMENT AND AUTOMATION

8.1 Configuration management and automation of server configuration using

OpsWorks

8.2 Determining how servers are configured, managed, and deployed across EC2

instances

8.3 Creating a virtual machine using Amazon Machine Image (AMI)

8.4 Introduction to the Domain Name Registration service and AWS Route 53

8.5 How to route the Internet traffic to resources

8.6 Checking the health of resources automatically

8.7 Provisioning of infrastructure resources using AWS CloudFormation

Hands-on Exercise:

1. How to register a domain using Route 53

2. Routing the Internet traffic to the resources and automatically checking the health

of resources

9. ARCHITECTING AWS – WHITEPAPER


9.1 Important guidelines for creating a well-architected AWS framework that is

resilient and performant

9.2 Designing fault-tolerant and high-availability architecture, resilient storage,

decoupling mechanism, multi-tier architecture solution, disaster recovery solution,

and scalable and elastic solutions

10. AWS ARCHITECT QUESTIONS

10.1 Guidance for clearing the exam

10.2 Most probable interview questions and other helpful tips for clearing the exam

and the job interview

11. AWS MIGRATION

11.1 Migrating to the AWS cloud

11.2 Business drivers for migration

11.3 Various stages of cloud adoption

11.4 The actual migration process

11.5 Migration tools and services in AWS

11.6 Migrating customers to the AWS cloud

11.7 Tracking the progress of application migration

11.8 Types of migration, including data migration, application migration, and

databases migration

12. AWS SECURITY

12.1 AWS cloud security essentials

12.2 Penetration testing

12.3 Security compliance

12.4 Infrastructure security

12.5 Mitigating DDOS

12.6 Identity and Access Management (IAM)

12.7 Logging and monitoring

12.8 Automatic audits and compliance

12.9 Limitations and challenges of native AWS security

13. INFRASTRUCTURE SETUP

13.1 Installation of DevOps tools on AWS:


Git

Docker

Selenium

Maven

Jenkins

Puppet

Ansible

Kubernetes

Nagios

14. INTRODUCTION TO DEVOPS

14.1 What is software development?

14.2 Software development life cycle

14.3 Traditional models for SDLC

14.4 Why DevOps?

14.5 What is DevOps?

14.6 DevOps life cycle

14.7 DevOps tools

15. SOFTWARE VERSION CONTROL

15.1 What is version control?

15.2 Types of version control systems

15.3 Introduction to SVN

15.4 Introduction to Git

15.5 Git lifecycle

15.6 Common Git commands

15.7 Working with branches in Git

15.8 Merging branches

15.9 Resolving merge conflicts

15.10 Git workflow

Hands-on Exercise:

1. Git life cycle commands

2. Pushing code to GitHub

3. Stashing code in Git


4. Creating and deleting Git branches

5. Reverting a push to GitHub

6. Merging branches using git merge

7. Merging branches using git rebase

8. Resolving merge conflicts using the git merge tool

16. CONTAINERIZATION USING DOCKER - PART I

16.1 Introduction to Docker

16.2 Understanding the Docker life cycle

16.3 Components of the Docker ecosystem

16.4 Common Docker operations

16.5 Creating a Docker Hub account

16.6 Committing changes in a container

16.7 Pushing a container image to Docker Hub

16.8 Creating custom Docker images using a Dockerfile

Hands-on Exercise:

1. Common Docker operations

2. Creating a Docker Hub account

3. Committing changes to a container

4. Pushing the container to Docker Hub

5. Creating the local image repository

6. Building an image using a Dockerfile

17. CONTAINERIZATION USING DOCKER - PART II

17.1 What are Docker Volumes?

17.2 Deploying a multi-tier application using the Docker network

17.3 Using Docker Compose to deploy containers

17.4 What is container orchestration?

17.5 Container orchestration tools

17.6 Introduction to Docker Swarm

17.7 Deploying a 2-node cluster using Docker Swarm

Hands-on Exercise:

1. Creating Docker volumes

2. Using Docker Compose to deploy multiple containers


3. Deploying a multi-node cluster using Docker Swarm

4. Deploying a multi-service app on Docker Swarm

18. CONFIGURATION MANAGEMENT USING PUPPET

18.1 Need for configuration management

18.2 Configuration management tools

18.3 What is Puppet?

18.4 Puppet architecture

18.5 Setting up Master Slave using Puppet

18.6 Puppet Manifests

18.7 Puppet Modules

18.8 Applying configuration using Puppet

18.9 Puppet File Server

Hands-on Exercise:

1. Setting up Master Slave on AWS

2. Testing the connection of nodes with Puppet

3. Creating a Manifest

4. Deploying the Manifest on a Node

5. Creating a Module

6. Deploying sample software on nodes using Puppet Modules and Manifests

7. Implementing a File Server Module on Puppet

19. CONFIGURATION MANAGEMENT USING ANSIBLE

19.1 What is Ansible?

19.2 Ansible vs Puppet

19.3 Ansible architecture

19.4 Setting up Master Slave using Ansible

19.5 Ansible Playbook

19.6 Ansible Roles

19.7 Applying configuration using Ansible

Hands-on Exercise:

1. Installing Ansible on AWS

2. Creating a Playbook using YAML

3. Creating an Ansible Role


4. Using Roles in the Playbook

20. CONTINUOUS TESTING

20.1 What is Continuous Testing?

20.2 What is Maven?

20.3 Running test cases on Chromium WebDriver

20.4 What is the headless mode?

Hands-on Exercise:

1. Using Maven to import dependencies in Eclipse

2. Implementing a headless test using Chrome WebDriver

21. CONTINUOUS INTEGRATION USING JENKINS

21.1 Introduction to continuous integration

21.2 Jenkins Master Slave architecture

21.3 Understanding CI/CD pipelines

21.4 Creating an end-to-end automated CI/CD pipeline

Hands-on Exercise:

1. Creating a Jenkins Master Slave on AWS

2. Installing plug-ins in Jenkins

3. Creating Jenkins builds

4. Creating scheduled builds

5. Triggering jobs using Git Web Hooks

6. Using the pipeline plugin in Jenkins

22. CONTINUOUS ORCHESTRATION USING KUBERNETES

22.1 Introduction to Kubernetes

22.2 Docker Swarm vs Kubernetes

22.3 Kubernetes architecture

22.4 Deploying Kubernetes using kubeadms

22.5 Alternate ways of deploying Kubernetes

22.6 YAML files

22.7 Creating a deployment in Kubernetes using YAML

22.8 Services in Kubernetes

22.9 Ingress in Kubernetes


Case Study:

Kubernetes Architecture

Hands-on Exercise:

1. Setting up Kubernetes using kubeadm

2. Installing Kubernetes using kops and GCK

3. Creating a deployment

4. Creating services

5. Creating an ingress

6. Demonstrating the use of ingress, services, and deployments together

23. CONTINUOUS MONITORING USING NAGIOS

23.1 What is continuous monitoring?

23.2 Introduction to Nagios

23.3 Nagios architecture

23.4 Monitoring services in Nagios

23.5 What are NRPE plugins?

23.6 Monitoring system info using NRPE plugins

Hands-on Exercise:

1. Installing Nagios

2. Monitoring different servers using Nagios

24. DEVOPS ON AWS

24.1 How to deploy DevOps principles and methodology on the AWS platform

24.2 DevOps lifecycle and the important stages in the DevOps methodology

24.3 What is AWS CodeBuild?

24.4 AWS CodeCommit

24.5 AWS CodePipeline

24.6 AWS CodeDeploy

25. DEPLOYING INFRASTRUCTURE WITH TERRAFORM

25.1 Installing Terraform – Windows Users

25.2 Installing Terraform – Linux Users

25.3 Choosing the right IDE for Terraform IAC development

25.4 Creating the first EC2 instance with Terraform


25.5 Terraform Code – First EC2 instance

25.6 Understanding resources and providers

25.7 Destroying the infrastructure with Terraform

25.8 Destroying specific resources

25.9 Understanding Terraform state files

25.10 Understanding desired and current states

25.11 Challenges with the current state on computed values

25.12 Terraform commands – State files

25.13 Terraform provider versioning

25.14 Types of Terraform providers

25.15 Understanding attributes and output values in Terraform

25.16 Attribute resource (Document)

25.17 Referencing cross-account resource attributes

25.18 Terraform variables

25.19 Data types for variables

25.20 Fetching data from maps and lists in a variable

25.21 Terraform format

25.22 Validating Terraform configuration files

Hands-on Exercise:

1. Implementing remote-exec provisioners

2. Implementing local-exec provisioners

3. Integrating Ansible with Terraform

26. TERRAFORM MODULES & WORKSPACES

26.1 What is Infrastructure as Code?

26.2 IaC vs Configuration Management

26.3 Introduction to Terraform

26.4 Installing Terraform on AWS

26.5 Basic operations in Terraform

init

plan

apply

destroy


26.6 Terraform code basics

26.7 Deploying an end-to-end architecture on AWS using Terraform

Hands- on Exercise:

1. Installing Terraform

2. Initializing AWS Terraform provider

3. Creating an EC2 instance using Terraform

4. Updating changes to EC2 using Terraform

5. Destroying EC2 using Terraform

6. Deploying EC2 inside a custom VPC using Terraform

Project Work

AWS DevOps Projects Covered

Creating a CI/CD Pipeline to Build and Test a Website

Creating a CI/CD pipeline to integrate DevOps tools, such as Git, Docker, Jenkins, Puppet,

and Selenium. In this project, you will be containerizing a website, which will be pushed to

Git and then deployed automatically on the testing server, and if everything goes well, it

will be pushed to production servers.

Creating the Architecture for an Application

You need to create complete architecture for a Python application and launching it over the

Internet. For creating the infrastructure for the application, you have to use services such

as VPC, EC2, load balancing, RDS, S3, SNS, IAM, and Route 53. In this project, you will

be hosting the application in a secured architecture so that the code present in GitHub will

be hosted over AWS. Once the user enters data, then the data will be stored in databases,

and once the objects are pushed to S3, then automatically it will trigger notification via

mail.

Implementing the DevOps Life Cycle Using AWS

You need to create the complete life cycle of DevOps over AWS using the services

provided by AWS DevOps. You will use the following tools/services: Git, CodeCommit,


CodeDeploy, CodePipeline, etc. Once the code is built, then it will be sent to the QA stage.

Once it is passed, then the code will be pushed to Elastic Beanstalk.

Deploying a Website for High Availability and High Resilience

In this project, you will design an architecture that can automatically scale up and down

based on traffic and is decoupled for components such as databases, web apps, etc.

Sending Notifications to Patients Using Push Notifications

In this project, you will design an architecture on AWS, which can send notifications to

patients once their diagnostic feedback is pushed into the system. You will be using

services such as SNS, AWS Lambda, EC2, and more.

Deploying an App on Kubernetes Using CI/CD Pipelines

In this project, you will be creating a CI/CD pipeline, which is integrated with Kubernetes.

This project will make use of tools such as Git, Docker, Jenkins, Selenium, and

Kubernetes. First, you will containerize the code pushed into Git, save the Docker image,

and then push the image to Docker Hub. Finally, it will be deployed on Kubernetes.

Merging Git Branches

In this project, you will understand the importance of merging branches in Git. You will be

using a production use case where merging is required. Based on the use case, you will

have to decide whether you will be using git merge or rebase. Since this is a production

problem, you will also have to make use of Git workflows.

Deploying a Multi-tier Website Using AWS EC2

For this project, you will have to scale a website fast using AWS without the upfront cost of

hardware. You will learn to launch an EC2 instance, enable auto-scaling of EC2, configure

security and networking, manage storage, create an RDS instance, and allow traffic from

EC2 to the RDS instance.

Website Orchestration

You will orchestrate a website with lesser time and higher availability, along with

autoscaling. In this AWS project, you will deploy a high-availability PHP application with an

external Amazon RDS database to Elastic Beanstalk, launch a DB instance in Amazon

RDS, create an Elastic Beanstalk environment, and configure security groups and scaling.

Containerizing Various Frameworks and NGINX Application using Docker


This project is about integrating software projects deployed in diverse environments such

as NGINX, Node.Js, MongoDB, and ASP.NET using Docker. The highlights of this project

are setting up Node.js on a Docker container, pulling the NGINX image from Docker Hub,

and deploying Windows PowerShell and Hyper-V.

Using Different Operations on EC2 and EWS

The case study is to replicate or copy EC2 instances to varied regions depending upon

high availability. Furthermore, the main strategy is to extend the size of EBS volumes

without losing data. The major highlights of this case study are to scale and mount the EBS

volumes to different EC2 instances one at a time.

Autoscaling Compute Capacity in AWS

The major aim of this case study is to auto-scale (scaling up and down automatically) and

load balance among multiple EC2 instances within AWS based on varied/defined metrics

for auto-scaling instances. Also, the case study deals with routing custom domains to AWS

resources.

Creating Custom VPCs in AWS

In this case study, the candidate will create a custom VPC in AWS with the help of multiple

subnets having both private and public access. The route tables are also configured to

subnets using the Internet Gateway and NAT Gateway.

Using AWS S3 for Lifecycle Access Management

The case study deals with moving artifacts from on-premises to S3 in the most cost-

efficient manner. Furthermore, it deals with the creation of life cycle rules for events in S3

objects, hosting a static website, and experimenting with the usage of Route 53.

Highly Available Relational Database in AWS

This case study is all about creating a highly available and scalable AWS Database

Service in AWS using RDS. The process involves creating the database architecture,

collecting data for real-time analysis, and relocating the latency issues.

CloudFormation for Infrastructure-as-Code

The case study involves provisioning and deploying AWS resources using AWS

CloudFormation. Within the process, the candidate has to define rules for deletion using

IaC and also minimize the deployment time.


Administering User Access Using AWS IAM

In this case study, you will create users in IAM for defining granular access that differs with

each user. Alongside, you will also define custom policies that add users to groups.

Application Services in AWS and Configuration Management

The main aim of this case study is to use application services in AWS Lambda for

deploying code and also conduct configuration management using OpsWorks. Alongside,

WebApp is also deployed to Elastic Beanstalk.

Implementing Git Workflow

Here, you will be analyzing and using a specific Git workflow scenario. In this case study,

you will work with industry-standard architectures, merge branches, and simulate a

working architecture in Git. You will have to be familiar with topics such as Git branches,

Git workflows, merging, and rebasing to work on this case study.

Resolving Merge Conflicts

You will have to be understanding how to resolve merge conflicts in various scenarios. The

case study is about understanding the difference between merging and rebasing. Through

this case study, you will have an in-depth and up-close working knowledge of DevOps

topics such as Git branches, merging, and rebasing.

Creating Custom Containers in Docker

Here, you will be creating a custom container from the base Ubuntu container. In this case

study, you will be required to create a Dockerfile, push the container to Docker Hub, and

create custom Docker images. Through this case study, you will cover the working

knowledge and implementation of Dockerfiles and Docker Hub in DevOps.

Using Bind Mounts, Docker Compose, and Docker Swarm

In this case study, you will be deploying an application using Docker Compose, Bind

Mounts, and Docker Swarm. You will create and use Bind Mounts in Docker, deploy

multiple Docker applications with Docker Compose, and create a Docker Swarm cluster

and deploy applications over it. You will also use Docker storage and Docker networks.

Using Puppet for Configuration Management


In this case study, you will be learning how to work with Docker, Puppet Manifests,

conditional statements, modules, and classes to create modular scripts and also to

manage a large fleet of servers with Puppet.

Using Selenium to Create Automated Test Cases

In this case study, you will be required to create automated test cases using Selenium.

You will also have to create runnable jar files and run headless tests in Chrome using non-

GUI Linux. Through this case study, you will have a thorough understanding of how

Selenium, runnable jar files, ChromeDriver, and headless tests work.


Certification After the completion of the course, you will get a certificate from Intellipaat.


Success Stories

Kevin K Wada

Thank you very much for your top-class service. A special mention

should be made for your patience in listening to my queries and giving

me a solution, which was exactly what I was looking for. I am giving you

a 10 on 10!

Sampson Basoah

The Intellipaat team helped me in selecting the perfect course that suits

my profile. The whole course was practically oriented, and the trainers

are always ready to answer any question. I found this course to be

impactful. Thank you.

Jagadeesh Prashanth

The best part of Intellipaat’s training is that it supports you for a lifetime.

Even after the AWS DevOps certification training completion, all my

queries are still addressed with full dedication. This is really

appreciable. Thanks a lot.

Hareram Singh

The support team helped me in the course selection. I have never come

across such a cooperative team. They scheduled my AWS DevOps classes

as per my requirement. The entire course package was great. I enjoyed every

bit of it.


CONTACT US

INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

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AWS DevOps - Intellipaat