Top DevOps Classes Near Greater Noida Compared for 2026

DevOps syllabus checklist (tick what the class covers)
[ ] Linux commands, users, permissions, systemd
[ ] Bash scripting with loops and conditions
[ ] Git: branch, merge, rebase, pull request
[ ] CI/CD: Jenkins or GitHub Actions pipeline
[ ] Docker: Dockerfile, images, volumes, networks
[ ] Kubernetes: pods, deployments, services
[ ] Infrastructure as Code: Terraform basics
[ ] Configuration: Ansible playbooks
[ ] Cloud: one provider (AWS or Azure) in depth
[ ] Monitoring: Prometheus and Grafana basics
[ ] One end-to-end capstone project

#!/usr/bin/env bash
# Disk usage alert - a typical first-week DevOps lab
THRESHOLD=80
usage=$(df / | awk 'NR==2 {gsub("%",""); print $5}')
if [ "$usage" -gt "$THRESHOLD" ]; then
  echo "WARNING: root disk at ${usage}%"
else
  echo "OK: root disk at ${usage}%"
fi

# Run these in the demo class lab, if allowed
git --version
docker --version
kubectl version --client
terraform -version
# If the lab cannot run basic tool versions,
# students probably do not get real practice.

# .github/workflows/ci.yml - a pipeline you should build in class
name: ci
on: [push]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Build Docker image
        run: docker build -t myapp:${{ github.sha }} .

Questions to ask before you pay:
1. How many hours of hands-on lab per week?
2. Do I get my own lab machine or cloud account?
3. Who is the trainer and what has he/she deployed?
4. Can I repeat a batch if I miss classes?
5. What exactly does placement assistance include?
6. Can I see a sample student project on GitHub?
7. Is the fee paid in instalments? What is refundable?

# Project: CI/CD pipeline for a Node.js app
## Tools
GitHub Actions, Docker, Kubernetes (minikube), Terraform
## What it does
Every push builds an image, runs tests and deploys to a cluster.
## What I learned
Debugging failed builds, writing manifests, rolling updates.

DevOps class scorecard (1 = poor, 5 = excellent)
Class name: ______________  Location: ______________
Syllabus depth (Linux to Kubernetes)  : __ / 5
Own lab machine / cloud account       : __ / 5
Daily practice hours                  : __ / 5
Trainer's real project experience     : __ / 5
Capstone project on GitHub            : __ / 5
Mock interviews and resume help       : __ / 5
Batch timing fits my day              : __ / 5
Commute or online option              : __ / 5
TOTAL                                 : __ / 40

Demo date: __________   Trainer: __________
Topic covered in demo: ____________________
Did I type commands myself?      Yes / No
Did the trainer answer doubts?   Yes / No
Was the lab working smoothly?    Yes / No
One thing I learned: ______________________
One concern: ______________________________
Would I join this class?         Yes / No / Maybe

Mon  Linux + bash practice (1.5 hrs)
Tue  Git branching exercises (1.5 hrs)
Wed  Docker images and containers (2 hrs)
Thu  CI pipeline changes (1.5 hrs)
Fri  Kubernetes manifests (2 hrs)
Sat  Mini project + README (3 hrs)
Sun  Revision + interview questions (1 hr)