Certified DevOps Systems Engineer



This course is meticulously designed for individuals who fit the following profile:

System Engineers in Transition: You are a system engineer with 0 to 8 years of experience and aspire to evolve into a DevOps professional. Your day-to-day responsibilities revolve around managing automation systems, making incremental improvements under the guidance of senior engineers, and enhancing automation frameworks.

System Backend Aficionados: You have a keen interest in understanding the intricacies of system backend management. Learning about system components and how they interact is a natural curiosity for you.

Collaborative Team Players: You thrive in collaborative environments and enjoy working closely with cross-functional teams. Communication and teamwork are your strengths, making you an effective collaborator in DevOps projects.

If you identify with these characteristics and are ready to take your career to new heights, the DevOps for System Engineers course is your gateway to a transformative journey.

Total Duration: Approximately 2.7 Months

Mode of Training: Online Live Instructor Led Session Options: Weekdays (1 hour/session) or Weekends (2.5 hours/session)

Hourly Breakdown for Each Topic:

  1. DevOps Concepts – 3 hours
  2. DevOps Terminologies – 2 hours
  3. Virtualization with Virtualbox – 3 hours
  4. Infrastructure as Code (IaC) with Vagrant – 4 hours
  5. Cloud Technologies – 3 hours
  6. Linux Administration for DevOps – 6 hours
  7. LXD container administration (former LXC) – 4 hours
  8. Docker administration – 4 hours
  9. Containerization with Kubernetes – 6 hours
  10. Openshift Administration – 4 hours
  11. Openstack Administration – 4 hours
  12. AWS public LAAS cloud knowledge – 4 hours
  13. Terraform Coding – 4 hors
  14. Automation with Ansible – 4.5 hours
  15. Continuous Integration and Continuous Deployment (CI/CD) with Jenkins – 6 hours
  16. Monitoring with Nagios, Prometheus, Grafana – 4 hours


Based on the latest insights from AmbitionBox and Glassdoor, the average annual salary for a DevOps System Administrator in India with 6-8 years of experience stands at a lucrative  amount of ₹8 – 12 Lakhs, translating to approximately ₹70 – 90 k per month.  You can even bag an offer upto 22LPA based on your capability – We will also teach you about negotiation skills. So as you can understand, you are doing an investment here that promises substantial returns, opening doors to a lucrative future, we just need your full dedication. It is an immersive bootcamp with extensive hands-on sessions. It is not for the lazy learner.

Transitioning from a System Administrator to a DevOps expert may seem like a leap, but don’t worry we’ve charted out the path for you. Leverage your existing skills and broaden your horizons. Our program is specifically designed to help you to become a proficient DevOps System Administrator, which the organizations crave to hire to on board that synergy of system administration and DevOps.



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: LXD Containers Administration
  1. Introduction to LXD Containers
  2. Installing and Configuring LXD
  3. Creating and Managing Containers with LXD
  4. Advanced LXD Container Networking
  5. LXD Storage Management
  6. Container Security Best Practices
  7. LXD for Development and Testing Environments
Module 8: Docker Administration
  1. Docker Fundamentals
  2. Installation and Configuration of Docker
  3. Docker Containers and Images
  4. Docker Networking and Volumes
  5. Advanced Docker Features: Swarm Mode and Enterprise Edition
  6. Docker Compose for Multi-container Applications
  7. Securing Docker Containers and Registries
  8. Docker for Microservices Deployment
Module 9: Kubernetes Administration
  1. Introduction to Kubernetes
  2. Setting Up a Kubernetes Cluster
  3. Deploying Applications on Kubernetes
  4. Scaling and Load Balancing in Kubernetes
  5. Monitoring and Troubleshooting Kubernetes
  6. Advanced Kubernetes Concepts: StatefulSets, DaemonSets, and Operators
  7. Kubernetes Security Best Practices
  8. Kubernetes for Hybrid and Multi-Cloud Deployments
Module 10: Openshift Administration
  1. Understanding Openshift as a Container Platform
  2. Installing and Configuring Openshift
  3. Deploying Applications on Openshift
  4. Openshift Networking and Security
  5. Managing Openshift Resources
  6. Advanced Openshift Features: Operators and Build Pipelines
  7. Multi-Cluster Management with Openshift
Module 11: Openstack Administration
  1. Introduction to Openstack
  2. Deploying an Openstack Cloud
  3. Managing Virtual Machines in Openstack
  4. Networking and Storage in Openstack
  5. Openstack Security and Monitoring
  6. Openstack Orchestration and Heat Templates
  7. Multi-Cloud Integration with Openstack
Module 12:AWS Administration
  1. Introduction to AWS Cloud
  2. Creating and Managing AWS Resources
  3. AWS Compute Services (EC2, ECS)
  4. AWS Networking and Storage
  5. AWS Security and Identity Management
  6. Advanced AWS Services: AWS Lambda, Kinesis, and RDS
  7. AWS DevOps Tools and Best Practices
  8. AWS Cost Optimization and Management
Module 13: Terraform Coding
  1. Infrastructure as Code (IaC) Concepts
  2. Getting Started with Terraform
  3. Creating and Managing Infrastructure with Terraform
  4. Terraform Modules for Reusability
  5. Best Practices in Terraform Coding
  6. Multi-Cloud Infrastructure Orchestration with Terraform
Module 14: Ansible Coding
  1. Introduction to Ansible
  2. Writing Ansible Playbooks
  3. Ansible Inventory and Variables
  4. Managing Configuration with Ansible
  5. Ansible Best Practices
  6. Ansible Galaxy: Managing and Sharing Roles
  7. Ansible Automation for Complex System Tasks
Module 15: Git & Jenkins Administration
  1. Version Control with Git
  2. Git Workflows and Branching Strategies
  3. Setting Up Jenkins for Continuous Integration
  4. Creating and Managing Jenkins Pipelines
  5. Jenkins Plugins and Integration with Git
  6. Advanced Git Workflows with Jenkins
  7. GitLab CI/CD: Extending GitLab CI/CD with Custom Scripts
  8. Artifact Management: Advanced Configuration with Artifactory and Nexus
Module 16: Nagios, Prometheus, Grafana
  1. Introduction to Monitoring in DevOps
  2. Setting Up Nagios for Infrastructure Monitoring
  3. Collecting Metrics with Prometheus
  4. Creating Dashboards with Grafana
  5. Alerting and Troubleshooting in Monitoring
  6. Advanced Monitoring Solutions: AWS CloudWatch, Azure Monitor, Google Cloud Monitoring
  7. Monitoring Containers and Microservices Architectures
  8. Security Monitoring and Compliance
Module 17: DevOps Tools Evaluation and Selection
  1. Choosing the Right DevOps Tools
  2. Evaluating DevOps Toolchains
  3. Building a Customized DevOps Toolset
  4. Tooling Considerations for System Engineers
  5. Container Orchestration Tools: Kubernetes vs. Openshift vs. EKS vs. AKS vs. GKE
  6. CI/CD Platform Comparison: Jenkins vs. GitLab CI/CD vs. Others
  7. Monitoring and Logging Solutions Comparison
  8. Cloud Providers: AWS vs. Azure vs. Google Cloud
Final Module: Real-World DevOps Project

Step 1: Project Introduction and Scope Definition

Participants will kick off the final module by delving into a comprehensive understanding of the project’s goals and scope. This includes gaining insights into the real-world scenario that the project seeks to address. The case study revolves around a fictional e-commerce platform aiming to enhance its deployment process and overall system reliability through the implementation of a robust DevOps workflow.

Step 2: Infrastructure as Code with Terraform and Vagrant

In this phase, participants will architect the project’s infrastructure using Terraform and Vagrant. They will design and provision the required resources, creating a scalable and dynamic environment that mirrors the production setup. This hands-on experience will solidify their grasp of Infrastructure as Code principles and tools.

Step 3: Containerization and Orchestration with Amazon EKS

Next, participants will dive into containerization and orchestration using Amazon EKS (Elastic Kubernetes Service). They will containerize the e-commerce application, define Kubernetes manifests, and deploy microservices. This step empowers participants to grasp the intricacies of containerized deployments and gain proficiency in managing containerized applications at scale.

Step 4: Configuration Management with Chef

With the infrastructure and containers in place, participants will shift their focus to configuration management using Chef. They will define and manage the desired state of the infrastructure, ensuring consistency and adherence to best practices. Through hands-on exercises, participants will master Chef’s capabilities in automating configuration tasks.

Step 5: Version Control and Continuous Integration with GitHub and GitHub Actions

Participants will learn the power of version control and continuous integration by utilizing GitHub and GitHub Actions. They will set up automated workflows for code integration, automated testing, and deployment. Real-time feedback and monitoring will become integral aspects of their DevOps pipeline.

Step 6: Continuous Deployment and Release Management with Azure DevOps

In the final stages, participants will implement continuous deployment and release management using Azure DevOps. They will create pipelines that automate the deployment of changes from GitHub to the Amazon EKS environment. This step encapsulates the entire DevOps lifecycle, from code commits to production deployment.

Real-World Case Study: Enhancing E-commerce Deployment

Imagine a thriving e-commerce platform that frequently faces deployment challenges, leading to downtime and customer dissatisfaction. Participants step into the shoes of DevOps practitioners tasked with revolutionizing this scenario. By applying Vagrant, Terraform, Amazon EKS, Chef, GitHub, GitHub Actions, and Azure DevOps, they create an end-to-end DevOps workflow.

Starting with infrastructure provisioning using Terraform and Vagrant, they establish a scalable environment. Containers are embraced through Amazon EKS, ensuring seamless deployment and scaling of microservices. Chef takes the reins of configuration management, maintaining consistency across the environment.

GitHub and GitHub Actions streamline version control and continuous integration, empowering the team to collaborate effectively. Finally, Azure DevOps orchestrates the continuous deployment process, enabling the platform to release updates confidently, significantly reducing downtime and enhancing customer experience.

This immersive real-world project equips participants with invaluable skills, as they tackle challenges mirroring those faced by industry experts. Upon completion, they emerge as seasoned DevOps professionals, capable of designing and executing end-to-end DevOps workflows that drive business success.



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