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Industry-Relevant Program

DevOps Engineering Training Program – Build, Automate, Deploy, Operate

Master DevOps principles, CI/CD, Docker, Kubernetes, Terraform, and cloud deployment through hands-on labs and a real-world capstone project.

Beginner to Advanced
Hands-on Labs
Cloud-Ready Skills
Career-Ready Curriculum
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DevOps Engineering Training Program
36 Hours – Total Duration
12 Modules – Structured Curriculum
1 Capstone Project – End-to-End Implementation
Interview Prep – Career Support Included

Course Highlights

Industry-Relevant Modern DevOps Curriculum
Hands-on Labs & Tool-Based Workshops
End-to-End Capstone Project
Scenario-Based Interview Preparation
Cloud & DevOps Integration
Practical Assignments & Assessments
What You Will Learn

About This Course

End-to-End DevOps Training with Hands-on Labs and Capstone Project

This instructor-led DevOps training program is designed to help learners understand and apply the principles, practices, and tools used to build reliable software delivery pipelines. The program progresses from DevOps fundamentals and Git to CI/CD, Docker, Kubernetes, Infrastructure as Code, cloud deployment, security, monitoring, and observability. The course emphasizes hands-on learning through practical labs, automation exercises, pipeline implementation, and an end-to-end capstone project.

What You Will Learn

  • Understand the complete DevOps lifecycle and CALMS framework
  • Use Git effectively for collaborative software development
  • Design and implement CI/CD pipelines using Jenkins
  • Containerize applications using Docker and deploy with Kubernetes
  • Use Infrastructure as Code with Terraform
  • Integrate security and compliance checks into delivery pipelines (DevSecOps)
  • Set up monitoring, logging, and alerting using Prometheus and Grafana
  • Troubleshoot CI/CD, container, and Kubernetes issues
  • Complete an end-to-end DevOps capstone project for portfolio and interviews
Course Curriculum

12 Modules × 3 Hours = 36 Hours

A structured, hands-on journey through modern DevOps practices

DevOps culture, principles, SDLC, Agile, CALMS framework, and the DevOps lifecycle.

Linux fundamentals, permissions, processes, networking basics, and shell scripting.

Repositories, branching, merging, rebase, pull requests, and collaboration workflows.

CI/CD concepts, Jenkins architecture, jobs, agents, and pipeline creation.

Pipeline as Code, artifacts, environments, quality gates, and deployment strategies.

Images, containers, Dockerfile, volumes, networks, and container registries.

Pods, Deployments, Services, namespaces, ConfigMaps, and Secrets.

Ingress, probes, scaling, Helm concepts, and production deployment practices.

Providers, resources, state management, modules, and reusable infrastructure.

Cloud deployment, IAM, secrets management, SAST, and image/dependency scanning.

Metrics, logs, traces, dashboards, alerts, and troubleshooting using Prometheus and Grafana.

End-to-end DevOps project implementation, troubleshooting scenarios, and interview preparation.

Course Fee

Limited Time Offer
40,000
35,00012.5% OFF
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  • Duration: 36 Hours:
  • Mode: Live Instructor based:
Time Investment

Course Duration

36 Hours
12 Modules × 3 Hours = 36 Hours (Theory + Hands-on + Assignments + Capstone)

Tools & Technologies

Git / GitHub / GitLab
Jenkins
Docker
Kubernetes
Terraform
AWS/Azure Fundamentals
Linux & Shell Scripting
Prometheus / Grafana
SonarQube
Container Registry
Career Focus

Who Should Join This Course?

DevOps Engineers

Software Developers

Automation/QA Engineers

Cloud Engineers

System Administrators

Site Reliability Engineers (SREs)

Build & Release Engineers

Technical/Solution Architects

IT professionals transitioning into DevOps

Need Guidance?

Have questions about the course?

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