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AWS DevOps certification training is created by industry experts that will help you to master skills in AWS and DevOps. This AWS DevOps course enables you to implement DevOps methodologies on AWS such as CloudFormation, CodeCommit, OpsWorks, etc., and also clear AWS Certified DevOps Engineer - Professional DOP-C01 exam with this training program.
In this AWS Certified DevOps Engineer – Professional certification course, you will learn:
Basic knowledge of any programming language will be beneficial for this AWS Certified DevOps Engineer – Professional certification training.
In this certification course, you will master various tools and techniques, including the following tools:
Our AWS Certified DevOps Engineer training will help you learn everything in AWS and DevOps and upgrade your career. Moreover, getting a certification for AWS DevOps can put you in a different league when it comes to appearing for those interviews.
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59% Average Salary Hike
$1,08,000 Highest Salary
700+ Career Transitions
300+ Hiring Partners
EC2 (Elastic Cloud Compute)
EBS(Elastic Block Store)
VPC(Virtual Private Cloud)
RDS(Relational Database Services)
IAM(Identity Access Management)
Load Balancer & Auto Scaling
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, AMI
1.5 Getting a detailed understanding of the AWS architecture and the 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
2.1 Elastic Block Storage (EBS) for block level persistent storage volumes with S3 buckets
2.2 Understanding Amazon RDS and Amazon Aurora which 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 ElasticCache which is an in-memory data store
2.6 Deploying AWS database migration service
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
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
5.1 What is Amazon VPC
5.2 VPC as a networking layer for EC2
5.3 Getting started with VPC
5.5 VPC and Subnets
5.6 Default and non-default VPCs
5.7 Components of VPC networking
5.8 IP addressing
5.10 VPN connections
5.11 Accessing the internet
5.12 Using AWS PrivateLink to access the services
5.13 VPC supported platforms
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
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
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 AWS Route 53
8.5 How to route internet traffic to resources
8.6 Checking health of resources automatically
8.7 Provisioning of infrastructure resources using AWS CloudFormation
9.1 Important guidelines for creating a well architected AWS framework that is resilient and performant
9.2 Designing of fault-tolerant and high-availability architecture, resilient storage, decoupling mechanism, multi-tier architecture solution, disaster recovery solution, scalable and elastic solutions
10.1 Guidance for clearing the exam
10.2 Most probable interview questions and other helpful tips for clearing the exam and interview
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 AWS cloud
11.7 Track the progress of application migration
11.8 Types of migration including data migration, application migration and databases migration
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 Control (IAM)
12.7 Logging and monitoring
12.8 Automatic audits and compliance
12.9 Limitations and challenges of native AWS security
13.1 Installation of Devops Tools on AWS
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 Lifecycle
14.7 Devops Tools
15.1 What is Version Control
15.2 Types of Version Control System
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
16.1 Introduction to Docker
16.2 Understanding Docker Lifecycle
16.3 Components of Docker Ecosystem
16.4 Common Docker Operations
16.5 Creating a DockerHub Account
16.6 Committing changes in a Container
16.7 Pushing a Container Image to DockerHub
16.8 Creating Custom Docker Images using Dockerfile
17.1 What are Docker Volumes
17.2 Deploying a Multi-Tier Application using 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
18.1 Need of 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
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
20.1 What is Continuous Testing?
20.2 What is Maven?
20.3 Running Test Cases on Chromium Web Driver
20.4 What is Headless Mode?
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
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
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
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
25.1 Installing Terraform – Windows Users
25.2 Installing Terraform – Linux Users
25.3 Choosing Right IDE for Terraform IAC development
25.4 Creating first EC2 instance with Terraform
25.5 Terraform Code – First EC2 Instance
25.6 Understanding Resources & Providers
25.7 Destroying Infrastructure with Terraform
25.8 Destroying Specific Resource
25.9 Understanding Terraform State files
25.10 Understanding Desired & 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 List in Variable
25.21 Terraform Format
25.22 Validating Terraform Configuration Files
26.1 What is Infrastructure as a code
26.2 Iac vs Configuration Management
26.3 Introduction to Terraform
26.4 Installing Terraform on AWS
26.5 Basic Operations in terraform
26.6 Terraform Code Basics
26.7 Deploying and end-to-end architecture on AWS using Terraform
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The project requires the learners to test and build a CI/CD Pipeline to integrate DevOps tools including, either one or all of these, Git, Docker, Jenkins, Puppet, and Selenium.
Create a complete architecture for a Python application and launch it over the internet. For creating infrastructure, use VPC, EC2, load balancing, RDS, S3, SNS, IAM, and Route 53. Host the application in a secured architecture.
As a part of the project, the learners will be required to successfully create and implement a complete life cycle of DevOps over AWS by using AWS DevOps services and tools such as Git, CodeCommit, CodeDeploy, and CodePipeline.
The learners will design an available architecture that automatically scales its servers up and down based on the workload. Balance the load by using ELB. The architecture should be decoupled to connect an RDS database with an EBE.
The learners will design an architecture to send notifications to patients based on their doctor’s feedback. Use SNS for sending messages and integrate EC2 with SNS topic for message storing. Secure EC2 instances by using subnets.
This application deployment project offers practical learning to successfully create a CI/CD Pipeline integrated with Kubernetes, containerize the code pushed in Git, save the Docker image, and push the image to Docker Hub.
The learners will understand the importance of merging branches in Git by using a production use case where merging is required. They will decide to use Git merge or rebase based on the use base. They will use Git workflows as well.
Enable fast scaling of a website by using AWS while ensuring low or zero upfront cost. This multi-tier website deploying project also requires the learners to successfully launch an EC2 instance to develop and deploy applications.
The website orchestration project has been included in this training program to provide the learners with hands-on learning in deploying a high-availability PHP application with an external Amazon RDS database to Elastic Beanstalk.
Use Docker to successfully integrate the software projects that are deployed in diverse environments. Get hands-on learning experience in setting up Node.js on Docker containers along with pulling NGINX images from Docker hub, etc.
Replicate EC2 instances to varied regions depending on high availability. The main strategy is to extend the size of EBS volumes without losing the data while ensuring to scale and mount them to different EC2 instances one at a time.
The project involves autoscaling and load balancing among multiple EC2 instances within AWS based on varied or defined metrics for autoscaling instances. The project also deals with routing custom domains to AWS resources.
In the project, the learners will create a custom VPC in AWS with the help of subnets having both private as well as public access. The route tables are also configured to subnets by using internet and NAT gateway.
The project deals with moving artifacts from on-premise to S3 in the most cost-efficient manner. It also deals with creating Lifecycle rules for events in S3 objects, hosting a static website, and experimenting with Route 53.
This project is about creating a highly available and scalable AWS database service by using RDS. The process involves creating Database Architecture, collecting data for real-time analysis and relocating latency issues.
This project involves the learners provisioning and deploying AWS resources by using AWS CloudFormation. In the process, the learners also have to define the rules for deletion, by using IaC, and minimize the deployment time.
In this project, the learners will create users in Identity Access Management for defining granular access that differs with each and every user. The learners will also define custom policies that add users to the groups.
The main aim of this project is to make the learners use the application services in AWS Lambda for deploying the code and to conduct configuration management by using OpsWorks. The Web app is also deployed to Elastic Beanstalk.
This project, which is based on the implementation of Git workflow, requires the learners to successfully work with industry architectures, merge branches, and effectively simulate a working architecture in Git workflow.
Understand how to resolve merge conflicts in various scenarios amd the difference between merging and rebasing. The learners will gain in-depth working knowledge of DevOps topics such as Git branches, merging, and rebasing.
Build a custom container from the base Ubuntu container. This hands-on project also requires the learners to successfully create a Dockerfile, pushing the container to the Docker Hub, and create custom Docker images.
The learners will deploy an application by using Docker Compose, bind mounts, and Docker swarm. They will create and use bind mounts in Docker and deploy multiple Docker applications. They will use Docker storage and Docker networks.
In this project, the learners get hands-on learning in configuration management by using Puppet. Puppet manifests conditional statements, modules, and classes to build modular scripts and manage a large fleet of servers with Puppet.
The learners are required to create automated test cases with Selenium. As an important part, the learners will also be required to create runnable jar files along with running headless tests in Chrome by using non-GUI Linux.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!
This certification exam is a Professional examination that consists of 75 multiple-choice or multiple-response questions. The duration of this exam is 180 minutes.
The passing score of the AWS Certified DevOps Engineer Professional certification exam is 750 out of a total of 1000.
The AWS Certified DevOps Engineer Professional examination is a difficult one. However, with the help of our experts who make you acquire all the required knowledge and skills throughout the course via live video lessons and industry-grade projects, you will easily be able to clear the certification examination without much trouble.
The cost of the AWS Certified DevOps Engineer certification exam is US$300. Also, the cost of the DOP-C01 practice exam is US$40.
If you sign up for AWS DevOps certification course, you can easily pass this DOP-C01 exam.
To pass the AWS Certified DevOps Engineer certification exam, you need to have a good knowledge of AWS DevOps and hands-on experience with the AWS platform.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This AWS Certified DevOps Engineer certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500 companies.
The instructor is very knowledgeable. She describes the course in detail. All presentations are good and the LMS is a great platform for revising. Lifetime access and 24*7 support is the best part of this AWS DevOps course.
Honestly, I enjoyed this whole AWS DevOps course. I got the opportunity to work on real-life projects. In case of queries, I would receive a solution within 24 hrs. A very calm and supportive team overall.
I absolutely loved my experience with Intellipaat and would highly recommend it to anyone thinking of applying. The certification course content was very good and well-structured & covered even advanced topics.
It was a great learning experience at Intellipaat. They have a very good set-up for conducting online classes and have recordings available. The assignments & quizzes provide hands-on learning.
I am really satisfied with the Intellipaat trainers and the live classes. The trainers are great. Also, thanks to the support team of Intellipaat I can resolve my doubts in less time. Definitely one of the best AWS DevOps course in the market.
The support I get from Intellipaat is so good and the faculty is so experienced that they make the concepts so easy to understand. I benefitted well from Intellipaat and recommend it too.
It is the best online learning institution and would highly recommend it. The certification course content was very good and well-structured. They are both self-paced and online sessions. Also, a great support team
I had a good experience in learning and obtaining certification from Intellipaat. The instructor had vast knowledge and was very experienced. I was also able to contact support team anytime
AWS DevOps is Amazon’s philosophy of using its Cloud platform to provide a set of services that helps companies to rapidly build and deliver products using AWS and DevOps practices. With the help of these services, provisioning and managing the infrastructure, deploying code, and automating software becomes easy. It also improves monitoring application and infrastructure performance.
AWS DevOps offers a comprehensive set of tools to build and deploy software in the cloud. Some of the popular AWS DevOps tools are discussed below:
An AWS DevOps engineer is a certified professional who is responsible for automating the testing and deployment of AWS infrastructure and applications. AWS DevOps Engineer helps organizations to identify and develop talent with critical skills for implementing Cloud initiatives.
After completing this certification, an AWS DevOps Engineer in India earns ₹ 3.5 Lakhs to ₹ 14.5 Lakhs with an average annual salary of ₹ 6.0 Lakhs.
Some of the roles and responsibilities of an AWS DevOps Engineer are as follows:
AWS DevOps Engineers must have the following skills:
Following are the various AWS DevOps jobs available in the market after AWS DevOps certification:
AWS DevOps course gives you hands-on experience which is demanded by some of the biggest corporations in the world. You can master the concepts of AWS and DevOps, along with working on step-by-step assignments that have high relevance in the corporate world, and the curriculum of this course is designed by industry experts as per AWS Certified DevOps Engineer exam. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world as AWS Certified DevOps Engineer Professionals. Intellipaat offers lifetime access to our videos, certification course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.