DevOps with AWS

DevOps with AWS Certification Training

The combination of social concepts, procedures, and tools known as DevOps improves an organization’s capacity to provide software and services quickly.

35 Enrolled

3.5 months

Course Overview

Python Full Stack Developer Training & Certification courses at The SKYPER are designed according to the requirements of industry standards and standards of the latest practices by our industry experts with considerable experience in the full-stack development domain. Web application and website development in Python is a full-stack process. Python is a powerful and versatile programming language that can help you build dynamic websites, web applications, and much more.

Key Features

  • Course Duration : 3.5 months

  • Real-Time Projects : 2

  • Project Based Learning

  • EMI Option Available

  • Certification & Job Assistance

  • 24 x 7 Lifetime Support


  1. Introduction to Cloud & AWS
  • Define cloud computing.
  • Cloud computing Infrastructure.
  • Cloud service and deployment models.
  • Common misconceptions about cloud computing.
  • Common cloud Implementations.
  • Architecture discussion
  • Lab preparation
  • AWS account creation
  • Overview of major AWS services
  • Benefits of studying AWS
  1. Identity And Access Management Techniques (IAM)
  • Understand Users, Groups, and Roles
  • Policies and Policy documents
  • Lab creating roles, user, and groups
  • Access control
  • Policy management
  • Lab policy creation
  • Restricting different services for users.
  1. Amazon Elastic Compute Cloud (EC2)
  • Defining EC2 Instances
  • Different type of Images (AMI)
  • Lab creation Linux/Windows EC2 instances
  • Lab connecting to EC2 instances
  • Lab AMI creation
  • Volumes (EBS)
  • Lab volume creation
  • The lab set up a volume once attached to Ec2
  • Lab snapshot creation
  • Lab security Groups
  • Key Pairs
  • Elastic Load Balancing
  • Lab Elastic load balancing
  • Launch configuration
  • Auto-scaling concepts
  • Lab Autoscaling
  • Lab creation of billing alerts
  • Lab Cloud Watch
  1. S3
  • S3 buckets and their usage
  • Lab creating an S3 Bucket
  • Lab uploads and retrieve data from the S3 bucket.
  • Lab giving privileges on to  S3 bucket.
  • Lab on S3 policies and ACLs
  • Lab Life Cycle Management
  • Lab object expiration in S3
  • Lab S3 Versioning
  • S3-RRS, S3-IA and Glacier
  • CORS
  • Lab S3 Policy
  • Lab hosting a website on S3
  1. Networking: Setting up VPC and NAT
  • Lab creation of custom VPC
  • Default VPC concepts
  • Lab CIDR notation
  • Subnets and routing concepts
  • Different methods to connect to custom VPC
  • Lab to create Subnets
  • Lab  ACLs
  • Lab Routing rules.
  • Lab to create security groups at an instance.
  • A lab setting up public and private subnets
  • A lab setting up Internet/Nat gateway
  • Lab Securing your network.
  • Lab Network ACLs
  1. AWS Databases RDS and Dynamodb
  • AWS Database services overview – RDS, DynamoDB, Elasticache, Redshift
  • Lab creating RDS instances
  • Read Replicas
  • RDS scaling concepts
  • RDS Postgres SQL server
  • RDS Oracle Server
  • Database migration Service
  • Lab configuring Multi-AZ failover
  • Lab accessing a database hosted on RDS
  • DynamoDb Core knowledge
  • Scaling with Dynamodb
  • DynamoDb write and read unit calculation
  • Elasticache concepts
  1. SNS, SWF, and SQS
  • Working with the simple notification system.
  • Understanding queuing service.
  • SNS and SQS real-time use case
  • Introduction to SWF and use case
  • Lab on SNS
  1. Application Services
  • R53 and DNS
  • Domain registration
  • R53 routing policies
  • Lab on routing policy setup
  • Routing policies in detail
  • AWS CloudFront
  • AWS Cloud Formation
  • Deployment Using Cloud Formation
  • Direct Connect


  • Hands-on workshop/Project: Deploying a web application using AWS services
  • Deploy a Python/Java application to access/create/upload files on S3 through EC2
  • Deploy a Python/Java application to create tables, insert values in DynamoDb through EC2
  • Lab on Kinesis, through cloud formation
  • Designing Fault-tolerant and Highly Available architecture
  • Data Security
  • Backup and Disaster Recovery
  • Deployment on AWS
  • Cost Optimization in AWS


  • 500+ Practice Questions, in-line with certification.
  • Doubts Clarification Session
  • Resume Preparation Guidance by Expert
  • Interview Preparation by Certified AWS Trainer

DevOps Engineering

    1. DevOps Introduction
    • What is DevOps
    • Need of DevOps
    • DevOps Transition
    • Technical challenges
    • DevOps Market trends
    • DevOps Tools in Market
    • CI-CD overview

     2. Basic Linux and Networking Concepts

    • Architecture and Filesystem of Linux
    • Linux Bash Commands
    • Services, User & Group management
    • Sed, Awk, Cut, Find, echo, printf, cron, etc
    • Loops – while, ForLoop
    • Shell scripting
    • Networking & OS management
    1. Cloud Computing with AWS
    • Fundamentals of Cloud Computing
    • Hypervisors, Bare Metals, KVM/XEN
    • AWS introduction
    • EC2, AMI, Securitygroups, Keypair,
    • S3, Public, Elastic IP
    • IAM, Roles, Cloudwatch
    • VPC: Segreatting public, private infrastructure
    • Introduction to ASG, ELB
    1. Source Code Management & Version Control
    • Source Code Management using GitHub
    • UI
    • History & Need of Version Control
    • Centralized VS Distributed version control system
    • Github CommandLine
    • Cloning, Commit, Forking, Merge, ReBase, PullRequest,GitDiff, Logs
    • Exposure to CherryPick
    1. Continuous Integration with Jenkins
    • Jenkins – Installation
    • Jenkins – Configuration
    • Jenkins – Management
    • Jenkins – Setup Build Jobs
    • Integration of JENKINS with GIT
    • Integration of Maven with Jenkins
    • Jenkins Dashboard
    • Remote Builds and user management in Jenkins
    • Exposure to backup & Jenkins Security
    • Build Tools – Maven & exposure to Gradle
    • Pipelines
    1. Monitoring
    • Virtualized infrastructure
    • monitoring using Nagios
    • Installation & maintenance
    • Exposure to Prometheus & Grafana
    1. Ansible
    • Understanding Configuration Management
    • Understanding Configuration Automation
    • Understanding Desired State Configuration Management
    • Understanding Continuous Configuration Automation
    • Understanding Server Client-based Configuration Automation
    • Understanding Remote Configuration Automation
    • Introduction to Ansible tools
    • Ad Hoc commands and Modules
    • Yaml templates
    • Playbooks
    1. Terraform
    • Understanding Infrastructure As A Code
    • What is Terraform
    • JSon templates
    • Managing infrastructure using Terraform
    • Multiple modules
    • Integrating Terraform with AWS
    • Update existing templates
    1. Docker Containers
    • Understanding MicroServices
    • Introduction to Docker & Containers
    • Working with containers
    • Docker CLI
    • Dockerfile templates
    • Docker Hub – Repo, Push, Pull
    1. Kubernetes
    • What is Kubernetes and Need
    • Technical overview of Control
    • Plane & Data Plane
    • Kubernetes cluster provisioning using Kubeadm
    • POD, Deployment, ReplicaSet, Nodes, DaemonSets, InitContainers
    • Command & Args
    • Multi Master architecture and exposure
    • ScaleIn/ScaleOut Ad Hoc on Demand of Microservices
    • Services, Secret, ConfigMap, Volumes, PVC, PV,StorageClass


    • WebBased application using Tomcat, Apache, EC2, Maven, Jenkins, Git for CI-CD flow.
    • CI-CD flow using EC2 with Git,Jenkins, Ansible.
    • CI-CD flow using EC2 with Git,Jenkins, Docker/Containers & and Ansible.


    • Multiple examples of JenkinsFile for Jenkins Pipeline – production grade
    • Integrating DockerFile with Jenkinsfile
    • Inducing Shell scripts with DockerFile and jenkinsfile
    • Push existing code of Container ImageBuild to DockerHUb
    • Induce Continuous Deployment using Shell script via an EC2 instance
    • Exposure to GitOps model
    • Induce Githook to automate the CD part
    • Exposure to other industry-standard tools like FLUX, Travis
    • Continuous Deployment on a Kubernetes Cluster
    • Exposure and demo on Prometheus & Grafana implementation on
    • Kubernetes
    • Induce load on MySQL microservice and monitor throughput,IOPS,
    • Latency from Grafana
    • UI, metrics being sent by Prometheus
    • Other industries used security measures for Containers
    • Best real-time practices wrt CI-CD model for microservices on Kubernetes
    • General talks wrt Interview Questions for each topic

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Frequently ask question

Indeed. For the most part. Applications convey everything that the code says to them to. Without the code, there is no application. Without composing and revising that code the application won’t change to reflect evolving necessities. Perhaps something may be conveyed by purchased in programming, however and still, at the end of the day, it’s a flimsy line between designing programming and coding.

For most associations, DevOps colleagues (perhaps called DevOps engineers?) will compose code in Linux, Python, on AWS, or something like that.

Compensation is the cash they pay you every month for dealing with a DevOps group. Furthermore, it is one (only one) of the advantages that arrive at those working in a DevOps group. The typical compensation for a DevOps engineer in the US is around $100,000 yearly. Obviously, that shifts across the US and, surprisingly, more across the world. What’s more, where groups play various parts, others might save money. In a quickly impacting world, foreseeing likely pay rates is too difficult to be in any way reasonable. Yet, ongoing history shows us that compensations for IT experts working in a DevOps climate are probably going to be somewhat higher than those paid by additional customarily organized associations. Individuals pay for pioneers, and DevOps needs trailblazers.

Indeed, no, it depends. It is no more enthusiastically and no simpler than some other better approach for working. The vast majority find change troublesome – in any event, when you need to change, there are ways of behaving, perspectives, and schedules to modify – and that all requires some investment and some cognizant exertion. In this way, moving into a DevOps climate will feel unique, and that can be hard. In the event that you are accustomed to working alone or being judged separately as opposed to collectively, and particularly in the event that you’ve been seeing your partners as rivals for headway, DevOps will require change. In any case, the work will be worth the effort, take care of business, and you have a strong climate at work that lessens pressure and stress, and that makes life simpler for a great many people.

DevOps is not difficult to learn, yet not generally fast to dominate in light of the fact that it needs mentality and conduct changes. You can gain proficiency with the wording – the three different ways, dexterous proclamation, etc, and you can get the hang of the specialized practices – nonstop coordination, conveyance, delivery and sending, observing, and setup the executives instruments. That all aides and for those straight from school and used to getting novel thoughts, it ought to be a walk.

Getting the social change is more diligently, and for the vast majority, it needs that ‘epiphany’ when the light goes on, and you ‘get it.’ There might be a sensation of distress and of not fitting in before that occurs, yet it normally takes persistence and confiding in others.

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3.5 months





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Full time Access

3.5 months