Download - AWS DevOps - Intellipaat
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AWS DevOps
Certification Training
In Collaboration with IBM
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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
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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
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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.
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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
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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
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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
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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
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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
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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
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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
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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:
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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
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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
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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
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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
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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
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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
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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,
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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
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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.
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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
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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.
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Certification After the completion of the course, you will get a certificate from Intellipaat.
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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.
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CONTACT US
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