DevOps Training is a job-oriented program focused on combining software development (Dev) and IT operations (Ops). It teaches automation, continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC), and cloud deployment techniques using tools like Git, Jenkins, Docker, Kubernetes, Ansible, Terraform, and AWS.
This course is designed for system administrators, developers, testers, or anyone transitioning into cloud and automation roles.
✅ Basic knowledge of Linux and networking is highly recommended
✅ Knowing any scripting language (Bash, Python) will help
✅ You must understand both development & operations sides
✅ Hands-on practice is essential – theory alone won’t work
✅ Focus on creating real CI/CD pipelines and automation flows
✅ DevOps = mindset + tools + collaboration – not just tech
| Benefit | Description |
|---|---|
| ⚙️ Automation Skills | Learn to automate deployment, scaling, testing, and infrastructure |
| ☁️ Cloud-Ready Tools | Use top DevOps tools with AWS, Azure, or GCP |
| 📈 High-Paying Jobs | DevOps Engineers are among the highest-paid roles in IT |
| ⏱️ Faster Deployment | Master CI/CD pipelines for fast and secure software delivery |
| 🧰 Hands-on Labs | Work on real-time projects with Git, Docker, Jenkins, etc. |
| 🎯 Industry Demand | DevOps is essential for modern app deployment and cloud infra |
| 🧑💻 Career Roles | DevOps Engineer, Site Reliability Engineer (SRE), Automation Architect |
| Category | Tools Covered |
|---|---|
| Version Control | Git, GitHub |
| CI/CD | Jenkins, GitLab CI |
| Containerization | Docker |
| Orchestration | Kubernetes |
| Configuration Mgmt | Ansible |
| Infrastructure as Code | Terraform |
| Monitoring | Prometheus, Grafana |
| Cloud Platforms | AWS (EC2, S3, CodePipeline), Azure basics |
DevOps Fundamentals
Introduction to DevOps concepts: CI/CD, automation, agile, DevOps lifecycle
Version control basics using Git & GitHub
Linux for DevOps
Shell scripting, package management, cron jobs
Hands-on with Ubuntu/CentOS/RHEL
Git & GitHub
Jenkins – CI/CD Pipeline Automation
Docker – Containerization
Kubernetes – Container Orchestration
Ansible – Configuration Management
Terraform – Infrastructure as Code
Prometheus + Grafana – Monitoring & Alerting
Nexus / Artifactory – Artifact Repositories
SonarQube – Code Quality & Static Analysis
AWS DevOps Engineer
CodePipeline, CodeDeploy, EC2, S3, IAM
Certification: AWS Certified DevOps Engineer – Professional
Microsoft Azure DevOps (AZ-400)
Azure Boards, Pipelines, Repos, Artifacts, Test Plans
CI/CD on Azure Cloud
Google Cloud DevOps
Cloud Build, Deployment Manager, GKE, IAM
SRE Concepts & Tools
SLIs, SLOs, SLA management
Monitoring, chaos engineering, automation
AZ-400: Microsoft Certified DevOps Engineer Expert
AWS Certified DevOps Engineer – Professional
Docker Certified Associate
Certified Kubernetes Administrator (CKA)
HashiCorp Terraform Associate
Git + Linux + Jenkins + Docker + Mini Projects
Git + Docker + Kubernetes + AWS or Azure + Terraform + CI/CD
DevSecOps + Ansible + Vault + Compliance Tools
What is DevOps?
DevOps Lifecycle & Benefits
DevOps vs Traditional IT
Key DevOps Tools & Technologies
Understanding Agile and Scrum
Real-world DevOps use cases
What is Version Control System (VCS)
Installing Git and Basic Commands
Branching, Merging, Rebase
GitHub Repositories, Issues, Pull Requests
Git Flow Workflow
Jenkins Installation and Configuration
Setting up Build Jobs
Pipelines (Declarative & Scripted)
Integrating Git with Jenkins
Jenkins Plugins and Dashboards
What is Docker & Containers
Docker vs Virtual Machines
Docker Architecture & CLI
Creating and Managing Docker Images
Docker Compose & Docker Hub
Docker Volumes and Networking
Kubernetes Architecture
Minikube & kubectl Installation
Pods, ReplicaSets, Deployments
Services and Networking
Helm Charts (basic intro)
Kubernetes on Cloud (EKS/GKE/Azure AKS)
What is Ansible & its architecture
Inventory, Playbooks, Modules
YAML scripting for automation
Variables, Handlers, and Roles
Real-world provisioning example
Introduction to IaC & Terraform
Installing Terraform
Writing .tf files
Providers, Resources, Variables
Deploying Infrastructure on AWS/Azure
Terraform State & Modules
Introduction to Cloud Computing
Overview of AWS Services
EC2, S3, IAM, RDS, and VPC Basics
CI/CD Tools in AWS (CodeCommit, CodeBuild, CodeDeploy)
Hosting Jenkins or Kubernetes on EC2
Introduction to Logging & Monitoring
Tools: Prometheus, Grafana (Basic Dashboards)
Node Exporter and AlertManager Setup
Log Analysis with ELK Stack (optional)
End-to-End Automation Pipeline
Git → Jenkins → Docker → Kubernetes → Monitoring
Integrating Slack/Email alerts
Real-time team-based project deployment
Resume Preparation (DevOps format)
GitHub Project Portfolio Setup
Mock Interviews & Q&A
Real-Time Use Case: Deploying Microservices using Docker, Jenkins, K8s
Final Certification Test / Internal Exam
What is the difference between Git and GitHub?
What are the steps to configure a Jenkins job?
What is a webhook in CI/CD?
What is Docker and how is it used in DevOps?
What is the difference between a Docker image and a container?
What is a pod in Kubernetes?
What is Infrastructure as Code (IaC)?
What are Terraform providers and modules?
What is the difference between Ansible and Puppet?
What is auto-scaling in AWS?
How do you monitor applications in real time?
What is blue-green deployment?
What does “shift-left testing” mean?
How do DevOps teams differ from traditional IT teams?
Explain the DevOps lifecycle.
Deploying web app using Docker + Kubernetes
CI/CD pipeline with Jenkins + GitHub + AWS EC2
Infrastructure automation using Terraform + Ansible
Monitoring a microservice with Prometheus + Grafana