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Key Features



About The Program

CI, CD and DevOps have taken over the software development world by storm. Most companies today realize that the practices of continuous integration (CI) and continuous delivery (CD) will yield tremendous benefits like increased business revenue and faster time-to-market. The demand for these skills has been steadily rising over the last few years.

There are a plethora of tools available in the CI/CD/DevOps landscape today. Implementing continuous integration, continuous delivery and continuous deployment with these tools and frameworks can help us immensely in modernizing our software development lifecycle. It catches us bugs early and increases the quality of our software products. This, in turn, reduces the overall cost for software development in startups and enterprise alike.

DeepNeuron DevOps course has been designed keeping in mind the latest industry needs. You will be trained on the following skillsets which have been curated based on job descriptions posted by companies looking for DevOps Engineers. In this DevOps online course, you will learn the following aspects:

But before getting into tools and frameworks, it is important that you get a holistic picture of CI / CD and DevOps. For this, you need to understand where we started from - the old school traditional software development cycle. We will pick holes in the old model, identify pain points and learn how CI / CD and DevOps evolved, one step at a time. Once you build a rock solid foundation using this course, you can move on to more specific tool oriented courses.

If you are thinking about moving on to CI/CD/DevOps from your old school software development model, this course is for you. Well illustrated with animations to help you grasp a clear understanding of the underlying principles. Once you complete this course, you can take on bigger challenges related to implementation. The demand for professionals who have experience with CI/CD/DevOps has been growing steadily over the last few years. The salaries for these skills have gone through the roof and are only bound to go up as the demand for these skills increases. Professionals with CI / CD / DevOps skill set can demand as much as $150K as their yearly compensation as per latest US job and salary surveys. And this is where you start!

  1. In-depth knowledge of DevOps methodology
  2. Implementing Software Version Control
  3. Containerizing Code on production using Docke
  4. Creating CI/CD Pipelines using Jenkins
  5. Configuration Management using Puppet and Ansible
  6. Automating build and test using Selenium and Maven
  7. Container Orchestration using Kubernetes
  8. Performance Tuning and Monitoring using Nagios

These DevOps classes can be taken up by:

  • IT Professionals
  • Software Testers
  • System Admins
  • Solution Architects
  • Security Engineers
  • Application Developers
  • Integration Specialists
  • Basic knowledge of Linux or scripting is good to have. For this, we provide you with a free Linux self-paced course to help speed up your learning.
  • Prior IT experience would be necessary for learning this technology.

All our practical sessions, case studies, and projects will be performed on the AWS Cloud. We will help you set up your AWS Free Tier account once you enroll for the DevOps course.
We will also provide you VMs, which will help you practice even when you’re offline!

The DevOps industry is expected to grow six times higher by the year 2022, according to Gartner.

The average annual salary of a DevOps engineer in the US is $ 136,500, and in India it is approximately INR 666,232 (PayScale).

Additionally, DevOps and Cloud jobs are going to be among the highest paying jobs in the coming years, according to Forbes.

A DevOps Architect is the backbone of any organization’s technical team.

Programming Languages,Tools & Packages

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DevOps Course Modules

DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from the Agile methodology.

  • DevOps: The Big Picture
  • What is DevOps? Acronym Dev+Ops?
  • History of DevOps
  • DevOps Misconceptions
  • Overview- Gamut of DevOps tools
  • End-to-End DevOps workflow
  • Who can learn DevOps?
  • Importance & goals of DevOps Practices in real-time
  • SDLC models, Agile and DevOps
  • Opportunities, Trends and Future of DevOps
  • Overview of Version Control, Build and Deployment Process, Continuous Integration and Deployment, Configuration management, Containerization, Virtualization & Cloud platform. etc..
  • Roles of Cloud platforms in DevOps
  • Roles and Responsibilities of DevOps Resource
Chapter 1: Linux/Unix - The Big Picture & Linux Commands
  • History of UNIX/LINUX
  • Features and Benefits of UNIX/LINUX
  • Different flavors of UNIX/LINUX
  • Difference between UNIX, DOS, Windows and LINUX
  • Architecture of UNIX

Commands: pwd, ls, cd, cat, cp, mv, mkdir, rm, rmdir, touch, locate, find, grep, sudo, df, du, head, tail, diff, tar, chmod, chown, jobs, kill, ping, ssh, useradd, sshpass, scp, ifconfig, apt-get, curl, wget, uname, top, history, man, echo, zip, unzip, hostname, useradd, userdel, man, help, uname, apt-get, chmod, who, whoami, cal, date, exit.

Job oriented: Hands-On preparation
  • It’s just a quick introduction. Nothing as of now.
Chapter-2: Infrastructure setup - Cloud Basics, Local VM & AWS EC2 Instance Creation
Concepts & Practicals
  • Creating Virtual Machine using Oracle Virtualbox
  • AWS free-tier account creation
  • EC2 Instance creation and setup
  • Accessing EC2 Instance using .pem & ppk keys
  • SSH command
Job oriented: Hands-On preparation
  • Real-time Use-cases
  • Interview Questions discussion
Chapter-3: File System Of Linux
Concepts & Practicals
  • Ordinary Files
  • Directory Files
  • Device Files
  • The Structure of UNIX File system
Job oriented: Hands-On preparation
  • Real-time Use-cases & Applying the commands to solve different problems
  • Interview Questions discussion
Chapter-4: Vim Editor
Concepts & Practicals
  • Editing- Insert, Append, substitute, open new line, replace
  • Navigating - Cursor movement shortcuts
  • Revisiting Editing - cut, copy, paste, undo, redo
  • Searching - settings, search in current and multiple files
  • Creating a file, view read-only, edit file
Job oriented: Hands-On preparation
  • Applying all the vim shortcuts and practice on data files
Chapter-5: Working with Files & Directories
Concepts & Practicals
  • Redirecting Output
  • Redirecting Input
  • Commands: cat, touch, rm, cp, mv, ln, wc, mkdir, cd, rmdir, rm, ls, ls with options, find, locate, chmod, chown
  • Mounting directories (mount, unmount)
  • File & Directory Permissions (chmod, chown)
Job oriented: Hands-On preparation
  • Real-time Use-cases & Applying the commands to solve different problems Interview Questions discussion
  • Chapter-1: Overview of Build Tools and Deployment Process
  • Chapter-2: Getting started with Maven
  • Chapter-3: How to collaborate well with DEV and QA teams
  • Chapter-4: Hands-on with Maven
  • Chapter-5: Implementing various Build methodologies based on real-time requirements
  • Chapter-6: Projects & Deployments deep dive
  • Chapter-1: Introduction to Application and Web servers
  • Chapter-2: Tomcat & Nginx Installation, Configuration & Administration
  • Chapter-1: Jenkins & CI/CD Process Overview
  • Chapter-2: Getting started with Jenkins (Installation & Production Set-up)
  • Chapter-3: Jenkins Administration
  • Chapter-4: Jenkins Pipelines - Deep dive & advanced concepts
  • Chapter-5: Jenkins Plugins & CLI
  • Chapter-6: Distributed Builds & Master/Slave concept
  • Chapter-1: Introduction to Containerization & Docker
  • Chapter-2: Docker Installation in Production
  • Chapter-3: Getting started with Docker containers
  • Chapter-4: Container management commands
  • Chapter-5: Allocating Memory, CPU & Disk space to containers
  • Chapter-6: Docker Volumes - Persistent Data
  • Chapter-1: Docker images - Deep dive - Project - Application containerization
  • Chapter-2: Jenkins CI/CD Pipeline, Continous Deployments With Docker
  • Chapter-3: Projects - 2
  • Chapter-1: Introduction to Kubernetes & Architecture & Orchestration
  • Chapter-2: Kubernetes Production Installation & Services Deep dive
  • Chapter-3: Working with Microservices & Kubernetes Role
  • Chapter-4: PODs Management, Running Application on multi PODs cluster
  • Chapter-5: Kubernetes Deployments - Advanced Concepts
  • Chapter-6: Kubernetes Services & Load balancing - Publishing application to outside world
  • Chapter-1: Overview of Configuration Management with Ansible & Framework
  • Chapter-2: Ansible Deployment
  • Chapter-3: Ad-Hoc Execution with Ansible
  • Chapter-4: Working with Playbooks
  • Chapter-5: Conditional, Loops and Handlers
  • Chapter-6: [Advanced] Ansible Roles and Ansible Tower
  • Chapter 1: Introduction to Terraform
  • Chapter 2: Terraform Installation & AWS Practice Lab Setup
  • Chapter 3: Understanding Terraform Basics
  • Chapter 4: Terraform Configuration Files Without Variables
  • Chapter 5: Start using variables in your configuration files
  • Chapter 6: Credential manage
  • Chapter 7: Core concepts
  • Chapter 8: Conditionals & Advance Concepts
  • Chapter-1: Installation & Setup
  • Chapter-2: Monitoring Services, Plugins & Commands
  • Chapter-1: Introduction DevSecOps
  • Chapter-2: DevSecOps Implementation Ideation
  • Chapter-3: DevSecOps Tools Overview
  • Chapter-1: Shell Scripting - The Big Picture
  • Chapter-2: Shell Variables, Comments
  • Chapter-3: Operators
  • Chapter-4: Decision Making & Loops
  • Chapter-5: Functions & Arrays
  • Chapter-6: Misc: Shell substitution, Escaping, I/O redirection, Here-doc


Earn your DevOps certificate

Our DevOps program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a DevOps Certificate

The knowledge and DevOps skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist

DeepNeuron Testimonials


  • What is the objective of our DevOps course training?

    The objective of the DevOps certification course is to provide extensive coverage on the design and deployment of DevOps architecture for applications with special references to DevOps tools. With DeepNeuron online course, we ensure hands-on practical experience on continuous integration and deployment for online training for DevOps which will help you to master any level of DevOps certification with confidence.

  • Why and who should go for the DevOps course?

    DevOps is one of the top-notch technologies in cloud computing. In this modern competitive market, every small and big organization is moving into this cloud business for application and software development. Absolute beginners and experienced individuals who want to explore the DevOps culture can opt for DevOps training and certification. Even software developers who want to switch their careers as DevOps engineers, DevOps architect can gear up for certified DevOps online training from DeepNeuron.
  • Who is my trainer and what is his selection process?

    Our subject matter experts (SMEs) are experienced with industry expertise in their preferred domain and technologies. Our selection process is intriguing in reference to the course modules where we seek professional experts who have ideas and worked in the same technology for creating and deployment of applications in real-time. Professional experts SMEs will guide you through the entire module and will also make you get exposed to practice-based learning.
  • What can I expect after the DevOps course accomplishment?

    After the completion of the DevOps training course, you will gain expert knowledge to master the DevOps and will be a proficient player to tap DevOps tools at a depth level. Moreover, you will be part of the DeepNeuron community to leverage the knowledge-base shared by the members around the globe. You will also earn an industry-recognized DevOps certification from DeepNeuron.

  • What are the different modes of DevOps training that DeepNeuron provides?

    DeepNeuron offers Instructor-led online training delivered by highly experienced DevOps experts holding more than 10+ years of industry experience. Our separate cherry-picked pool of subject matter experts work with respective courses in curating the best contents and study materials for greater learning experience. Take our FREE Demo sessions to witness our trainer’s expertise.

  • What kind of projects are included as part of this DevOps training?

    As a part of this Data Science online course, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Data2bussinessinsights courses)
    • Industry-recognized certificates from IBM*(for IBM courses) and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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