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Course Syllabus · DevOps

DevOps Course Syllabus Complete Guide

Complete DevOps course syllabus — Linux, Git, Docker, Kubernetes, CI/CD, Terraform, monitoring, and hands-on projects.

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DevOps Syllabus · Live Interactive
Focus
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Module theme
Key Tools
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Tools covered
Outcome
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End of module
Basics → Containers → CI/CD → Deploy
Click a module to see what is covered. The course builds from Linux and Git basics to Kubernetes and automated deployments.

Home / Courses / Cloud & DevOps / DevOps Course Syllabus

Course Syllabus · DevOps

DevOps Course Syllabus — Complete Guide

MODULE 1 MODULE 2 MODULE 3 DEPLOY Module 1 Linux & Git Shell, version control Foundation Module 2 Docker & K8s Containers, orchestration Containers Module 3 CI/CD & IaC Jenkins, Terraform Automate Deploy Production Monitoring, scaling Live
The DevOps course builds from Linux and Git basics to Docker, Kubernetes, CI/CD, and production deployments.

Quick summary — DevOps course syllabus

A complete DevOps course from fundamentals to production. This syllabus covers Linux, Git, Docker, Kubernetes, CI/CD, Terraform, monitoring, and hands-on projects.

In this syllabus you will learn:

  1. Module 1: Linux & Git — shell, scripting, version control.
  2. Module 2: Docker & Kubernetes — containers and orchestration.
  3. Module 3: CI/CD & IaC — Jenkins, GitHub Actions, Terraform.
  4. Monitoring — Prometheus, Grafana, logging.
  5. Capstone project — deploy a real app to production.

SECTION 01Module 1: Linux & Git

This module builds the foundation every DevOps engineer needs — Linux command line, shell scripting, and Git version control.

Topic What You Learn Labs
Linux Basics File system, permissions, processes, package managers Navigate and manage a Linux VM
Shell Scripting Variables, loops, conditionals, cron jobs Write a backup script
Networking IP, DNS, ports, SSH, firewalls Set up SSH keys & firewall rules
Git Commits, branches, merges, remotes Collaborate on a Git repo
GitHub Pull requests, code review, actions basics Open a PR with a review
Key insight: Linux and Git are non-negotiable. Every DevOps tool runs on Linux, and every workflow depends on Git.

SECTION 02Module 2: Docker & Kubernetes

This module covers containerization and orchestration — the core of modern DevOps.

Topic What You Learn Labs
Docker Basics Images, containers, Dockerfile, volumes Containerize a Python app
Docker Compose Multi-container apps, networking Run app + DB with Compose
Docker Registry Docker Hub, ECR, image tagging Push & pull images
Kubernetes Basics Pods, deployments, services, configmaps Deploy an app to K8s
K8s Advanced Ingress, autoscaling, secrets, RBAC Expose app via Ingress
Key insight: Docker packages the app; Kubernetes runs it at scale. Master both — they are the most asked DevOps skills in interviews.

SECTION 03Module 3: CI/CD & IaC

This module covers automation — pipelines that build, test, and deploy code, and infrastructure defined as code.

Topic What You Learn Labs
CI/CD Concepts Continuous integration, delivery, deployment Design a pipeline flow
GitHub Actions Workflows, jobs, secrets, matrices Build a CI pipeline
Jenkins Jobs, pipelines, plugins Create a Jenkins pipeline
Terraform Providers, state, modules, plan/apply Provision AWS infra with Terraform
Ansible Inventory, playbooks, roles Configure servers with Ansible
Key insight: CI/CD and IaC are what make DevOps valuable. Automating a single pipeline saves hours every week.

SECTION 04Monitoring

This module covers observability — how to know what is happening in your systems and fix issues before users notice.

Topic What You Learn Labs
Prometheus Metrics, exporters, PromQL Scrape app metrics
Grafana Dashboards, alerts, panels Build a monitoring dashboard
Logging ELK stack, Loki, log aggregation Centralize app logs
Alerting Alertmanager, PagerDuty, Slack Send alerts on high CPU
Tracing Distributed tracing with Jaeger Trace a request across services
Pro tip: Monitoring is often ignored by beginners, but it is what separates a hobby deployment from a production system.

SECTION 05Capstone project

The course ends with a capstone project where you deploy a real application to production:

  • Containerize a full-stack app
  • Deploy to Kubernetes (EKS or Minikube)
  • Set up a CI/CD pipeline with GitHub Actions
  • Provision infrastructure with Terraform
  • Add monitoring with Prometheus + Grafana
  • Document the entire architecture
Key insight: The capstone project is your portfolio piece. Document it with diagrams — it is what you will show in interviews.

SECTION 06Interview Q&A — DevOps syllabus

Q1Do I need coding experience for DevOps?

Basic scripting (Bash or Python) is essential. You do not need to be a developer, but you must be comfortable with automation.

Q2Which cloud should I learn first?

AWS is the most in-demand cloud. The course focuses on AWS, but the concepts transfer to Azure and GCP.

Q3How long does the course take?

Most students complete the course in 4-5 months with 6-8 hours per week. The capstone project may add 2-3 weeks.

Q4Is Kubernetes hard to learn?

Kubernetes has a learning curve, but the course starts with basics (pods, deployments) and gradually moves to advanced topics. Practice is key.

Q5What jobs can I apply for after this course?

You can apply for DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, and Platform Engineer roles — depending on experience and portfolio.

SECTION 07Test yourself — DevOps quiz

Five questions. No sign-up.

0 / 5

Pick an answer to see why it is right or wrong.

SECTION 08Frequently asked questions

Is DevOps hard for beginners?

DevOps has many tools, so it can feel overwhelming. Start with Linux and Git, then move step by step. Consistent practice is key.

Do I need a degree for DevOps?

No. Skills, hands-on experience, and a strong portfolio matter more than a degree. Certifications (AWS, CKA) help too.

Which is more important — Docker or Kubernetes?

Both are important. Docker is the foundation; Kubernetes is built on top. Learn Docker first, then Kubernetes.

Is DevOps still in demand in 2026?

Yes. DevOps is one of the most in-demand IT roles, and demand continues to grow as more companies adopt cloud and automation.

Can I get a job with just this course?

The course gives you the skills. A strong capstone project, portfolio, and some real-world practice greatly improve your chances. Apply for junior DevOps roles.

Classroom & online · Noida

Enroll in the DevOps Course

Our Data Analytics Training Course includes a full DevOps module — Linux, Docker, Kubernetes, CI/CD, and real projects.

₹15,500 · full programme ₹24,000
  • Complete DevOps syllabus
  • Hands-on labs
  • Capstone project
  • Weekday & weekend batches