DevOps Engineer Industrial Training (with internship)

Designed to give you hands‑on experience on DevOps tools and best practices about continuous development, continuous testing, and configuration management

Learn with live instructors

three times weekly


project-based learning

Build an impressive portfolio


Job assistance provided

Work 1-on-1 with a career coach


Course Curriculum

1 Linux Fundamentals For DevOps (Self-paced)

Module 1: Introduction
Introduction 

What is an OS 

History of Unix and Linux 

Features of Linux 

Linux for DevOps 

Basic Linux commands for File handling 

Managing directories

 

Module 2: File/Directory management, find, regex 

More on Managing directories 

Linux commands using flags 

Removing files and directories

Regular Expressions 

Pipe operator

 

Module 3: File commands, user administration, File permissions 

Grep command 

File viewing commands 

Reading files with less more tail & head commands

Creating & Managing user accounts with adduser & useradd commands

Sudo users

How to create a sudo user

Managing permissions 

Files and Directory Permissions (chmod)

 

Module 4: Package Management and editors 

Package manager 

Introduction to YUM & APT

Installing & removing packages with APT command in ubuntu

Text Editors

Editing files using Vi and Nano

Environment variables

 

Module 5: Archiving and Process Management

File archiving - compress & archive with gzip and tar commands

Process management – ps command and its usage 

Terminate, kill, Suspend a process with kill command

top command

Bash scripting

cronjob: schedule tasks

Date command 

Ssh and rsync commands  

2 Python Scripting For DevOps (Self-paced)

Introduction to Python
Overview of Python
The Companies using Python
Other applications in which Python is used
Discuss Python Scripts on UNIX/Windows
Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the screen
 
Hands-On:
Creating “Hello World” code
Variables
Demonstrating Conditional Statements
Demonstrating Loops
 
Sequences & File Operations
Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.

Topics:
Python files I/O Functions
Lists and related operations
Tuples and related operations
Strings and related operations
Sets and related operations
Dictionaries and related operations

Hands-On:
Tuple - properties, related operations, compared with list
List - properties, related operations
Dictionary - properties, related operations
Set - properties, related operations
 
Deep Dive - Functions, OOPs, Modules, Errors and Exceptions
 
Learning Objective: In this module, you will learn how to create generic python scripts, how to address errors/exceptions in code, and finally how to extract/filter content using regex. 
 
Topics:
Functions
Function Parameters
Global variables
Variable scope and Returning Values
Lambda Functions
Object Oriented Concepts
Standard Libraries
Modules Used in Python (OS, Sys, Date and Time etc.)
The Import statements
Module search path
Package installation ways
Errors and Exception Handling
Handling multiple exceptions
 
Hands-On:
Functions - syntax, arguments, keyword arguments, return values
Lambda - features, syntax, options, compared with the functions
Sorting - sequences, dictionaries, limitations of sorting
Errors and exceptions - types of issues, remediation
Packages and module - modules, import options, sys path
 
Introduction to Numpy & Pandas
 
Learning Objective: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations. 
 
Topics:
NumPy - arrays
Operations on arrays
Indexing slicing and iterating
Reading and writing arrays on files
Pandas - data structures & index operations
Reading and Writing data from Excel/CSV formats into Pandas

Hands-On:
NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
Pandas library- Installation, creating series and dataframes, Importing and exporting data
 
Data Visualization
 
Learning Objective: In this module, you will learn in detail about data visualization.
 
Topics:
matplotlib library 
Grids, axes, plots
Markers, colors, fonts and styling
Types of plots - bar graphs, pie charts, histograms
Contour plots

Hands-On:
Matplotlib - Installation, Using Scatterplot, histogram,bar graph, pie chart to show information, Styling of Plot

3 DevOps Industrial Training

DevOps Curriculum
 
Overview of DevOps

IBT Learning's DevOps industrial training is designed to give you hands-on experience on in-house DevOps tools and best practices about continuous development, continuous testing, configuration management, including continuous integration and continuous deployment, and finally, continuous monitoring of the software throughout its development life cycle.

 

Module 1. Introduction to DevOps

What is DevOps? Why DevOps?
What Market Trends

Jenkins introduction

DevOps Engineer Skills

DevOps Delivery Pipeline

DevOps Ecosystem
What is CI/CD

 

Module 2. Version Control System using GIT

Introduction to VCS
Git lifecycle
Understanding Git workflow

understanding .gitignore

Git Command
Working with Github

 

Module 3. Build Tool Maven

Maven Introduction
Maven Goals
Maven Project on Artifactory

Build Java maven project Maven and DevOps

 

Module 4: Build Automation using Jenkins

What is Jenkins
Jenkins Architecture
Jenkins Installation
Jenkins Security
Manage Jenkins and underlying configuration Jenkins CLI
Jenkins Plugins

Freestyle Jobs
Pipeline as a Code
Multibranch Pipeline
Scripted vs Declarative Pipeline Groovy and Jenkins
Build CI CD pipeline
Jenkins Library

 

Module 5: Configuration as code using Ansible

What is Ansible
Understanding Configuration as Code
Ansible Architecture
Benefits of Ansible
Ansible Installation
Creating and configuring VMs using Digital Ocean

Ansible Commands Ansible Playbooks
Ansible Variables
Ansible filters and handlers Ansible Roles

Using Ansible in Jenkins Pipeline

4 Containerization and its Orchestration

Module 1: Microservices

Understanding Monolithic Architecture

Drawbacks of Monolithic Architecture

What is Microservice Architecture
Advantages and disadvantages of Microservices Architecture

 

Module 2: Containerization using Docker

Containerization using Docker
Private Container Repository (AWS ECR)

Public Container Registry (DockerHub)

Docker Container vs Virtual Machine Docker Architecture
Create Docker images

Docker Commands
Docker Network
Docker Compose
Docker Volumes
Containerize nodeJs Application

Jenkins pipeline using docker

 

Module 3: Orchestration of Container using Kubernetes

What is Kubernetes

Orchestration and its features

Kubernetes Architecture

Minikube and kubectl
kuebctl commands

Pods and Deployments

ConfigMap and Secrets

Services and Ingress

Statefulsets Namespaces

Volumes

5 Cloud and Infrastructure

Module 1: Infrastructure as code using Terraform

What are Infrastructure and Code

What is Terraform
Terraform Architecture
Terraform vs Ansible

Managing Infrastructure using terraform

Understand Terraform Components

Terraform Commands
Create AWS infrastructure using Terraform Terraform state
Terraform Modules
Terraform Cloud

 

Module 2 AWS - Getting Started

Getting started with Cloud Computing

Understanding AWS Console

Understanding SaaS/PaaS/IaaS

What is IAM? Need for IAM?

What are federated users?
How to manage access using IAM?
How to write a policy and map to the group?

Understanding users /roles/policies?

 

Module 3 AWS  

Understanding EC2, VPC and S3

Understanding EC2
Pricing models (On-demand, Spot, Reserved)

Understanding VPC/subnets/Security Groups

Understanding S3
Encryption on S3
Data and Lifecycle management on S3

 

Module 4 AWS - Deep Dive

Understanding containerization on cloud

Understanding ECS

Understanding EKS
Setup EKS Cluster

Deploy Resume App on EKS Cluster

Developers tools on AWS

codebuild, codedeploy and codepipeline

Understanding Lambda and Serverless Applications

Understanding integration & logging services on the cloud

Cloudtrail
How to get EC2/S3/Lambda Logs

Cloudwatch SNS/SQS cloudformation

6 Continuous Monitoring

Overview

What is continuous monitoring

Goals and benefits of monitoring 

Types of continuous monitoring 

Overview of DevOps monitoring tools

Overview of Splunk

 

Splunk

Overview of Splunk Cloud and Enterprise instance

Download and installation

Universal forwarder 

Demo on how to get data from machines/apps

Basic search and data models

Dashboards and visualizations 

Demo on how to create Dashboards

Reports and alerting

Best practices and industry standards on monitoring 

7 Capstone Projects - Elective

Overview

Build a rich portfolio of advanced end-to-end DevOps projects. The value of this elective program is $1,500 as a stand-alone course

8 Career Services (Internship Placement)

Work one-on-one with our career services team to get placed in an internship role and put everything you learn into practice in a real-world environment. We also help prepare your resume, optimize your LinkedIn profile, and organize technical mock interviews to prepare you for real-life DevOps interviews. 

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