Certified DevOps Programmer



Our DevOps Programmer course is designed for individuals who are passionate about coding and aspire to become proficient DevOps Engineers. Here’s who should consider enrolling:

  1. Recent Graduates: If you’ve recently graduated in a computer science-related field and are eager to kickstart your career in the dynamic world of DevOps, this course will equip you with the essential skills needed to excel.
  2. Software Developers: Software developers looking to expand their expertise and transition into DevOps roles will find this course highly beneficial. It will enable you to bridge the gap between development and operations through coding.
  3. IT Professionals: IT professionals seeking a career change or wanting to enhance their current roles can leverage this course to enter the DevOps domain. Whether you’re a systems administrator or network specialist, DevOps offers new avenues for career growth.
  4. Career Changers: If you’re considering a career change and are drawn to the exciting field of DevOps, this course provides an accessible entry point. You don’t need prior DevOps experience to get started.

Your DevOps Journey Begins Here…

  • Total Duration: Approximately 4 months

Hourly Breakdown (Approximate):

  • Module 1: Docker Coding: 20 hours
  • Module 2: Kubernetes Coding: 20 hours
  • Module 3: Terraform Coding with AWS: 20 hours
  • Module 4: Ansible Coding: 20 hours
  • Module 5: Chef Coding: 20 hours
  • Module 6: Puppet Coding: 20 hours
  • Module 7: GitHub Actions: 15 hours
  • Module 8: Jenkins Pipelines: 15 hours
  • Module 9: Nagios, Prometheus, Grafana: 15 hours

Please note that these durations are approximate and can vary based on the learning pace of the students, the depth of coverage, and the course structure. Adjustments can be made to accommodate additional learning activities, assessments, or projects.

This estimated duration allows for a comprehensive understanding of the topics covered in the DevOps Programmer course while maintaining a steady learning pace.

As a skilled DevOps Engineer, you’ll be poised to tap into India’s thriving tech industry. The average salary for a DevOps Engineer in India is ₹9,05,000 per year. This figure represents the total compensation , which includes the base salary along with any additional cash compensation. On average, this additional cash compensation amounts to ₹85,000 per year. Additional cash compensation can come in various forms, such as joining bonuses, incentives.

This data is according to Glassdoor current record.

Our comprehensive course equips you with the skills demanded by top employers, ensuring you’re ready to excel in this high-demand field. So are you ready to open the door to a rewarding DevOps career ?


Course Outline
Module 1: Foundational DevOps Concepts
  1. Introduction to DevOps Principles
  2. Significance of Collaboration in DevOps
  3. Streamlining Software Delivery Processes
Module 2: DevOps Terminology
  1. Building a Vocabulary for Effective Communication
  2. Industry-Standard DevOps Terminologies
  3. Enhancing Corporate Collaboration Through Terminology
Module 3: Datacenter Concepts
  1. Core Infrastructure Concepts
  2. Modern Data Center Architectures
  3. Bridging Traditional and Contemporary Infrastructures
Module 4: Virtualization with Virtualbox Administration
  1. Traditional Virtualization Techniques
  2. Hands-On Experience with Virtualbox Administration
  3. Resource Optimization Strategies
Module 5: Cloud Computing Concepts
  1. Fundamental Cloud Computing Concepts
  2. Comparing Cloud and Traditional Data Centers
  3. Preparing for a Cloud-Driven World

Module 6: 12 Factor App & Microservices
  1. Exploring Modern Application Design Principles
  2. Deep Dive into the 12 Factor App Methodology
  3. Mastering the Art of Microservices Architecture
Module 7: AWS Cloud Administration
  1. Understanding Cloud Environments
  2. In-Depth Focus on Amazon Web Services (AWS)
  3. Navigating the AWS Cloud Landscape
Module 8: Linux Proficiency
  1. Essential Linux User Skills
  2. Linux as the Primary Platform for DevOps Tools
  3. Maximizing Linux Proficiency for Tool Deployment
Module 9: Shell Scripting
  1. Building a Strong Foundation in Scripting
  2. Unlocking the Power of Algorithms and Coding Through Scripting
  3. Automation Techniques for DevOps Processes
Module 10: Programming Proficiency (Python & Ruby)
  1. Transitioning from Scripting to Full-Fledged Programming
  2. Harnessing the Power of Python and Ruby
  3. Leveraging Programming for DevOps Automation
Module 11: Vagrant Essentials
  1. Vagrant as the Bedrock for Automation
  2. Practical Application of DevOps Concepts with Vagrant
  3. Accelerating Software Release Cycles Through Automation
Module 12: Docker Coding
  1. What: Managed container platform
  2. Why: Software Developers bundle their code with Docker in the model of Immutable Infrastructure-based application deployments. DevOps Programmers need to know how to enable developers by supplying appropriate Dockerfile codes to ease the bundling process.
  3. Topics :-
    1. Introduction to Docker
    2. Docker Installation and Setup
    3. Building Docker Images
    4. Docker Compose
    5. Docker Networking
    6. Docker Volumes
    7. Docker for Application Deployment
Module 13: Kubernetes Coding
  1. What: Managed container orchestration platform
  2. Why: New-age application deployments are all happening as microservices on some form of Kubernetes. As a DevOps programmer, it’s crucial to be well-versed with Kubernetes’s YAML coding.
  3. Topics :-
    1. Introduction to Kubernetes
    2. Kubernetes Architecture
    3. Kubernetes Installation and Configuration
    4. Creating and Managing Pods
    5. Services and Networking in Kubernetes
    6. Deployments and ReplicaSets
    7. Helm Charts for Kubernetes
    8. Kubernetes Security and RBAC
Module 14: Terraform Coding with AWS
  1. What: Infrastructure Orchestration as Code
  2. Why: Terraform is the most popular infrastructure as code solution for orchestrating API solutions and most cloud platforms. For a DevOps Programmer, the ability to control infrastructure as code is most crucial.
  3. Topics :-
    1. Introduction to Terraform
    2. Terraform Installation and Configuration
    3. Understanding Terraform Syntax
    4. Creating Infrastructure with Terraform
    5. Terraform Modules and Workspaces
    6. Managing AWS Resources with Terraform
    7. Terraform Best Practices
Module 15: Ansible Coding
  1. What: Infrastructure Configuration Automation as Code
  2. Why: Ansible is the fastest-growing infrastructure as code solution for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
  3. Topics :- 
    1. Introduction to Ansible
    2. Ansible Installation and Configuration
    3. Ansible Playbooks
    4. Ansible Modules
    5. Inventory Management
    6. Ansible Roles
    7. Ansible Vault for Secrets
    8. Integrating Ansible with Other Tools
Module 16: Chef Coding
  1. What: Infrastructure Configuration Automation as Code
  2. Why: Chef is a highly scalable agent-based infrastructure as code solution for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
  3. Topics :-
    1. Introduction to Chef
    2. Setting Up Chef Workstation
    3. Writing Chef Recipes
    4. Managing Nodes with Chef
    5. Chef Cookbooks
    6. Role-Based Configuration
    7. Testing and Debugging with Chef
    8. Chef Server Configuration
Module 17: Puppet Coding
  1. What: Infrastructure Configuration Automation as Code
  2. Why: Puppet is one of the first enterprise agent-based infrastructure as code solutions for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
  3. Topics :-
    1. Introduction to Puppet
    2. Puppet Installation and Configuration
    3. Puppet Manifests
    4. Puppet Modules
    5. Puppet Forge and Puppetfile
    6. Puppet Hiera for Data Management
    7. Puppet Bolt for Ad-Hoc Tasks
    8. Puppet Best Practices
Module 18: GitHub Actions
  1. What: Cloud-based CI/CD as Code
  2. Why: GitHub is the most popular development platform. A DevOps Programmer is expected to understand how to work on GitHub and use GitHub Actions as a CI/CD Solution.
  3. Topics :-
    1. Introduction to GitHub Actions
    2. Setting Up GitHub Actions Workflows
    3. Creating Custom Actions
    4. CI/CD with GitHub Actions
    5. Building and Testing Code
    6. Deploying Applications with GitHub Actions
    7. GitHub Actions Security
    8. Integrating GitHub Actions with Other Tools
Module 19: Jenkins Pipelines
  1. What: CI/CD
  2. Why: Jenkins is the leading CI/CD platform, and a DevOps Programmer should know the Jenkins pipeline DSL to manage Jenkins as code.
  3. Topics :-
    1. Introduction to Jenkins Pipelines
    2. Declarative vs. Scripted Pipelines
    3. Building CI/CD Pipelines
    4. Pipeline DSL Syntax
    5. Jenkinsfile Configuration
    6. Artifacts and Dependencies
    7. Pipeline as Code Best Practices
    8. Jenkins Blue Ocean for Visual Pipelines
Module 20: Nagios, Prometheus, Grafana
  1. What: Infrastructure Monitoring
  2. Why: Specialized monitoring tools for DevOps implementations are a crucial but often neglected part of an end-to-end DevOps automation. A fully automated pipeline should also integrate with monitoring tools.
  3. Topics :-
    1. Introduction to Monitoring
    2. Setting Up Nagios Monitoring
    3. Nagios Plugins and NRPE
    4. Prometheus Monitoring Stack
    5. Configuring Prometheus for Alerts
    6. Grafana for Visualization
    7. Creating Dashboards in Grafana
    8. Monitoring Best Practices
Final Module: Real-World DevOps Projects

These projects are designed to reinforce the skills and concepts covered in the DevOps Programmer course. They provide hands-on experience in working with real-world DevOps scenarios and tools.

Project 1: Dockerizing an Application

  • Description: Dockerize a sample web application (e.g., a simple web server) and create a Docker image. Set up a Docker Compose file to run the application along with any required services (e.g., a database).
  • Skills Gained: Docker fundamentals, containerization, Docker Compose, application deployment.

Project 2: Kubernetes Deployment

  • Description: Deploy the Dockerized application from the first project onto a Kubernetes cluster. Create Kubernetes manifests for deploying pods, services, and ingress controllers. Implement rolling updates and scaling.
  • Skills Gained: Kubernetes basics, deploying applications in Kubernetes, scaling, rolling updates.

Project 3: Infrastructure as Code with Terraform

  • Description: Write Terraform code to provision cloud infrastructure on AWS (e.g., virtual machines, networking components). Use Terraform modules to manage resources efficiently.
  • Skills Gained: Terraform basics, infrastructure provisioning, Terraform modules.

Project 4: Configuration Management with Ansible

  • Description: Create Ansible playbooks to automate the configuration of multiple servers. Perform tasks such as software installation, user management, and configuration file updates.
  • Skills Gained: Ansible automation, playbook development, configuration management.

Project 5: CI/CD Pipeline with Jenkins

  • Description: Set up a CI/CD pipeline using Jenkins. Configure Jenkins jobs to build, test, and deploy a sample application. Integrate it with version control (e.g., GitHub) and automate the deployment process.
  • Skills Gained: Jenkins configuration, CI/CD pipeline creation, automation.

Project 6: Monitoring and Alerting

  • Description: Implement monitoring for the infrastructure and applications using tools like Nagios, Prometheus, and Grafana. Set up alerts based on predefined thresholds and visualize performance metrics.
  • Skills Gained: Monitoring setup, alerting, visualization.

Project 7: Infrastructure as Code with CloudFormation

  • Description: Create AWS CloudFormation templates to provision and manage AWS resources. Deploy an infrastructure stack that includes EC2 instances, security groups, and other resources.
  • Skills Gained: AWS CloudFormation, infrastructure provisioning on AWS.

Project 8: Multi-Tool Integration

  • Description: Build a comprehensive DevOps toolchain by integrating various tools learned in the course. Automate the end-to-end process of code development, testing, deployment, and monitoring.
  • Skills Gained: Toolchain integration, end-to-end automation.



This will close in 20 seconds

    Your Cart
    Your cart is emptyReturn to Shop
    Certified DevOps Programmer
    Scroll to Top