DevOps Course

  • Core principles and business value of DevOps for teams and organizations
  • Source code management and automation using Git & GitHub Actions
  • Continuous Integration and Continuous Delivery with Jenkins pipelines
  • Configuration management and infrastructure automation using Ansible
  • Containerization and deployment of scalable applications with Docker & Kubernetes
  • Cloud integration and DevOps workflows on AWS
  • Essential Linux administration and networking fundamentals for DevOps environments
  • Real-world, hands-on projects that simulate enterprise-level DevOps pipelines

Course Curriculum

Module 1. Introduction to DevOps
  • What is DevOps?
  • DevOps for Business
  • DevOps for IT Teams
  • DevOps for Developers
  • DevOps for Testers
  • DevOps for Operations Teams
  • Role of DevOps in Agile & Scrum
Module 2. Version Control Systems
  • Introduction to Version Control
  • Git fundamentals
  • Repository creation and management
  • Branching and merging strategies
  • GitHub workflow
  • Introduction to GitHub Actions
  • Automating workflows using GitHub Actions
Module 3. Continuous Integration & Continuous Delivery (CI/CD) – Jenkins
  • Introduction to Continuous Integration and Continuous Delivery
  • Jenkins installation on Windows and Linux
  • Jenkins architecture and user interface
  • Creating and managing Jenkins jobs
  • Stages of CI/CD (Build, Test, Deployment, Delivery)
  • Integrating Jenkins with Git and Maven
  • Jenkins build pipelines (Scripted and Declarative)
  • Distributed builds (Master–Slave setup)
  • Jenkinsfile and Groovy scripting
  • Deployments to staging and production environments
Module 4. Configuration Management – Ansible
  • Introduction to Ansible and setup
  • Inventory and dynamic inventory
  • Ansible modules and ad-hoc commands
  • YAML scripting and playbooks
  • Ansible roles and Galaxy
  • Advanced execution (conditions, loops, handlers, tags)
  • Automating services like NFS, Tomcat, Apache, and FTP
Module 5. Containerization – Docker
  • Introduction to Docker and containers
  • Docker installation and setup
  • Containers vs Virtual Machines
  • Managing Docker containers and images
  • Docker volumes and networking
  • Building Docker images using Dockerfile
  • Docker Compose for multi-container applications
  • Docker Swarm for clustering and orchestration
Module 6. Container Orchestration – Kubernetes
  • Introduction to Kubernetes and architecture
  • Cluster setup using Kubeadm and Play-with-K8s
  • Kubernetes objects (Pods, ReplicaSets, Deployments)
  • YAML configuration files
  • Kubernetes networking
  • Services (NodePort, ClusterIP)
  • Scaling, load balancing, and high availability
  • Rolling updates and rollbacks
  • Deploying microservices on Kubernetes
Module 7. Cloud Platforms – AWS
  • Introduction to cloud computing
  • AWS core services overview
  • Infrastructure setup on AWS
  • CI/CD pipelines on AWS
  • Integrating Jenkins, Docker, and Kubernetes with AWS
Module 8. Linux Administration
  • Accessing and using the command line
  • File and directory management
  • Creating and editing text files
  • User and group management
  • File system permissions
  • Monitoring and managing processes
  • Managing services and daemons
  • SSH configuration and security
  • Log management
  • Package installation and updates
  • Archiving and file transfers
  • Virtualization concepts in Linux
Module 9. Networking Fundamentals for DevOps
  • Networking basics
  • Network configurations for DevOps tools
  • Networking with containers
  • Cloud networking concepts
Module 10. Hands-on DevOps Projects
  • CI/CD pipeline using Jenkins, Git, and Maven
  • Configuration management project using Ansible
  • Dockerized application deployment
  • Kubernetes-based microservices deployment
  • AWS deployment using Jenkins pipelines
Author Images
Mentor : Sheshivardhan Reddy
Mission: “To empower learners with practical cloud and DevOps skills that transform technical knowledge into real-world career success.”

With over 18 years of experience, Sheshivardhan is a results-driven and passionate technology trainer with strong expertise in DevOps, Cloud Computing (AWS & Azure), Python Programming, and Data Visualization using Power BI. With a blend of software development, automation, and analytics experience, this trainer focuses on delivering hands-on, real-world learning that bridges the gap between classroom concepts and industry application.

Course Rating

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Haley Bennet
Oct 10, 2024

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Oct 10, 2024

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Richard Gere
Oct 10, 2024

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