You are viewing a preview of this job. Log in or register to view more details about this job.

Training on DevOps/Data Engineer & Business Analyst

Hello All,

We are starting a new batch on BA/Data Engineer/DevOps live online training from 13/01/2023. If you are interested you can let me know or you can let your friends/cousins/colleagues know about the same. We provide free training every month with placement assistance too, and also provide accommodation facility @ 2601 Little Elm Pkwy, Suite 1203, Little Elm, TX 75068.


DevOps Course Content:



Requirements

  • Basic Computer Knowledge



Description

Decoding DevOps course is for anybody who wants to get started with DevOps.
As there are many tools & technologies in DevOps, it has become difficult for people to choose the right technologies.

This course starts from very basics of command line, hands on demonstrations of many tools & technologies.
Also most importantly it will show you how various technologies in DevOps work together by setting up your own projects.

Step 1
  • Basics of Linux
  • Server Management in Linux
  • Vagrant
  • Basics of networking
  • Project
  • Vprofile Project Intro & Setup on VM’s

Step 2
  • Bash Scripting
  • Basics of scripting
  • Variables, Conditions, Loops etc
  • Automating day to day admin tasks

Step 3
  • Cloud Computing Intro
  • IAM
  • Ec2 Instances, EBS Volumes, ELB
  • S3
  • Cloudwatch
  • RDS
  • Autoscaling
  • Route53
  • Project
  • AWS Cloud For Project Set Up Lift & Shift
  • Re-Architecting Web App on AWS Cloud [PAAS & SAAS]

Step 4
  • Version control system = Git & GitHub
  • Build Tools | Build & Test Java Code = Maven
  • Continuous Integration Intro
  • Jenkins
  • Jenkins as a Build Server
  • Jenkins Jobs | Build , Test, Deploy, Notify
  • Jenkins Master/Slave, Nexus, Sonarqube
  • Jenkins CI Pipeline
  • Jenkins Administration
  • Project
  • Continuous Integration Using Jenkins, Nexus, Sonarqube & Slack

Step 5
  • Python Scripting
  • Basics of python programming
  • vars, datatypes, conditions, loops, function, modules etc
  • Pythons for automating OS tasks

Step 6
  • Ansible Intro
  • Ad Hoc commands
  • Modules
  • YAML into
  • Playbooks
  • vars, conditions, loops,
  • handlers, templates etc etc etc
  • Variables deep dive
  • Roles
  • Ansible for AWS
  • Project
  • Continuous Delivery and Configuration Management [Jenkins plus Ansible]

Step 7
  • AWS Part 2
  • VPC in depth
  • Log management and custom metrics
  • Project
  • Vprofile on Beanstalk & RDS
  • Code Commit, Code Build & Code Pipeline
  • CI & CD on AWS Cloud for Vprofile Project
  • Beanstalk, RDS, CodePipeline etc

Step 8
  • Docker Intro
  • Understanding and Implementing Containers
  • Volumes, Network, logs etc
  • Building Images for Vprofile project
  • Docker compose to run vprofile multi containers
  • Kubernetes Intro
  • Kubernetes setup for production Env
  • Kubernetes objects
  • Pods, Services, Controllers, Deployment
  • Replication, Autoscaling, Resource quotas, secret, configmap, namespace.

  • Project
  • Vprofile Project deployment on Kubernetes

Step 9
  • Terraform for AWS Cloud automation
  • Cloudformation for AWS loud automation

Who this course is for:

  • Anybody who wants to Learn DevOps

Presently its a training for 3 to 5 weeks and after the training we start the marketing and land you into a project.