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DevOps & Automation Track

Become a Job-Ready DevOps / Platform Engineer

DevOps Master Program

A 20-week, hands-on DevOps engineering program covering Linux, Git, Docker, Kubernetes, CI/CD, Terraform, monitoring and cloud automation — with 15+ real production projects and live mentor sessions.

Live Instructor-LedLinux & GitDocker & KubernetesCI/CD PipelinesTerraform IaCCloud DevOpsPlacement Support
20 Weeks
6 Phases
15+ Projects
Live Mentorship

Only 20 seats per batch — Limited enrollment

Program Fee

Rs. 74,999

Rs. 1,07,999

30% off — Full DevOps engineering stack included

20 Weeks (5 Months)

Beginner to Advanced

15+ Real Production Projects

CI/CD + Kubernetes + Terraform

DevSecOps Security Basics

Live Sessions + LMS Access

1-on-1 support available after every live class session

Enroll Now Talk to Admissions

No-cost EMI · Batch starts every month

Learning Path

Linux & Git
Docker & Containers
Kubernetes & Orchestration
CI/CD Pipelines
Terraform & IaC
Monitoring & SRE

Full Syllabus

Complete Curriculum

Click any module to expand topics. Every phase ends with a real-world project.

Phase 1

Linux, Git & Networking Foundations

3 Weeks

Master the Linux command line, shell scripting, networking fundamentals and Git workflows — the non-negotiable foundation every DevOps engineer must have.

Module 1 — Linux Administration
6 topics

Topics Covered

  • Linux filesystem hierarchy and navigation
  • User management: users, groups, sudo, PAM
  • File permissions: chmod, chown, ACLs
  • Process management: ps, top, kill, systemd, journalctl
  • Package management: apt, yum/dnf, snap
  • Cron jobs and task scheduling

Hands-On Lab

Automate user provisioning and log rotation using shell scripts on Ubuntu

Module 2 — Shell Scripting & Automation
6 topics

Topics Covered

  • Bash scripting: variables, loops, conditionals, functions
  • Text processing: grep, sed, awk, cut, sort
  • Input/output redirection and pipes
  • Script debugging: set -x, error handling, exit codes
  • Python scripting for sysadmin tasks
  • Automating repetitive operations

Hands-On Lab

Write a production-grade deployment script with logging, error handling and notifications

Module 3 — Networking & Git Fundamentals
6 topics

Topics Covered

  • TCP/IP, DNS, HTTP/HTTPS, SSH protocol
  • Network tools: netstat, ss, curl, ping, traceroute, nmap
  • SSH: key-based auth, config files, tunnels, jump hosts
  • Git internals: commits, trees, objects
  • Branching strategies: GitFlow, trunk-based development
  • Pull requests, code review and merge strategies

Hands-On Lab

Set up SSH key-based authentication and implement a complete GitFlow workflow

Phase 1 Project — Linux Server Automation

  • Automated server setup script (LAMP stack)
  • Log monitoring and alerting script
  • Git repository with team workflow configured
  • SSH hardening and security baseline script
Phase 2

Docker & Containerisation

3 Weeks

Learn how to containerise applications using Docker, build production-ready images, manage multi-container applications with Docker Compose, and push to container registries.

Module 1 — Docker Fundamentals
6 topics

Topics Covered

  • Containers vs VMs — architecture deep dive
  • Docker Engine v29.3.1 (May 2026): daemon, CLI, BuildKit, Wasm runtime support
  • Docker images: layers, Union File System, caching
  • Docker Hub: pull, push, tags, private registries
  • Container lifecycle: create, run, stop, remove
  • Docker networking: bridge, host, overlay, none

Hands-On Lab

Containerise a Python Flask and Node.js application from scratch

Module 2 — Dockerfile & Best Practices
6 topics

Topics Covered

  • Dockerfile syntax: FROM, RUN, COPY, ADD, CMD, ENTRYPOINT
  • Multi-stage builds for optimised production images
  • Layer caching strategies for faster builds
  • Non-root user, HEALTHCHECK, .dockerignore
  • Image vulnerability scanning: Trivy, Docker Scout
  • Docker image size optimisation techniques

Hands-On Lab

Build a production-optimised Docker image: multi-stage, non-root, health checks

Module 3 — Docker Compose & Registries
6 topics

Topics Covered

  • Docker Compose: services, volumes, networks, depends_on
  • Environment variables and .env files
  • Docker Compose profiles for dev/staging/prod
  • Azure Container Registry (ACR) and Amazon ECR
  • Docker volumes: named volumes vs bind mounts
  • Docker secrets and config management

Hands-On Lab

Deploy a full-stack app (React + Node + PostgreSQL + Redis) with Docker Compose

Phase 2 Project — Containerised Microservices

  • 3-service application containerised with Docker
  • Multi-stage Dockerfile with security hardening
  • Docker Compose for local development environment
  • Images pushed to private container registry
  • Vulnerability scan report with remediations
Phase 3

Kubernetes & Container Orchestration

4 Weeks

Master Kubernetes — the industry standard for container orchestration. Learn to deploy, scale and manage containerised applications on both self-managed and managed Kubernetes (AKS/EKS).

Module 1 — Kubernetes Architecture & Workloads
6 topics

Topics Covered

  • Kubernetes 1.36.1 (May 2026) architecture: control plane, nodes, etcd
  • Pods, multi-container pods and init containers
  • Deployments, ReplicaSets and DaemonSets
  • StatefulSets for stateful applications
  • Jobs and CronJobs for batch workloads
  • Namespace isolation and resource quotas

Hands-On Lab

Deploy a 3-tier application on Kubernetes with Deployments and Services

Module 2 — Services, Networking & Storage
6 topics

Topics Covered

  • Services: ClusterIP, NodePort, LoadBalancer, ExternalName
  • Ingress controllers: NGINX Ingress, path and host routing
  • TLS termination with cert-manager and Let's Encrypt
  • Persistent Volumes, PVCs and StorageClasses
  • ConfigMaps and Secrets management
  • Network Policies for pod-level firewall

Hands-On Lab

Configure Ingress with TLS, persistent storage and network policies for an app

Module 3 — Kubernetes Operations & Managed K8s
6 topics

Topics Covered

  • Resource requests and limits — CPU and memory
  • Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler
  • Azure Kubernetes Service (AKS): cluster creation and node pools
  • Amazon EKS: cluster setup and managed node groups
  • Kubernetes RBAC: roles, role bindings, service accounts
  • Rolling updates, rollbacks and canary deployments

Hands-On Lab

Deploy and scale an application on AKS with HPA, RBAC and cluster autoscaler

Module 4 — Helm & GitOps
6 topics

Topics Covered

  • Helm architecture: charts, values, templates, hooks
  • Creating and publishing custom Helm charts
  • Helm repositories and versioning
  • GitOps principles and Argo CD basics
  • Flux CD for automated reconciliation
  • Managing Kubernetes across multiple clusters

Hands-On Lab

Package an application as a Helm chart and deploy via GitOps with Argo CD

Phase 3 Project — Production Kubernetes Platform

  • Multi-service app deployed on AKS with Helm
  • Ingress with TLS certificate automation
  • HPA and cluster autoscaler configured
  • RBAC policies for development team
  • GitOps deployment pipeline with Argo CD
Phase 4

CI/CD Pipeline Engineering

4 Weeks

Design and implement production-grade CI/CD pipelines using Jenkins, GitHub Actions and Azure DevOps. Automate build, test, security scan and deployment workflows.

Module 1 — Jenkins CI/CD
6 topics

Topics Covered

  • Jenkins architecture: master, agents, executors
  • Freestyle jobs vs Pipeline jobs
  • Declarative Pipeline: stages, steps, post conditions
  • Jenkins shared libraries and reusable functions
  • Jenkins credentials store and Vault integration
  • Blue Ocean UI and build notifications

Hands-On Lab

Build a Jenkins Declarative Pipeline: code checkout → build → test → deploy to K8s

Module 2 — GitHub Actions
6 topics

Topics Covered

  • GitHub Actions: workflow syntax, triggers, jobs, steps
  • GitHub-hosted and self-hosted runners
  • Secrets, environment variables and OIDC authentication
  • Reusable workflows and composite actions
  • Matrix builds for cross-platform testing
  • GitHub Actions for Docker build, push and K8s deploy

Hands-On Lab

Build a GitHub Actions workflow: test → Docker build → push to ACR → deploy to AKS

Module 3 — Azure DevOps Pipelines
6 topics

Topics Covered

  • Azure Pipelines: YAML multi-stage pipelines
  • Azure Boards: Epics, User Stories, Sprints
  • Azure Artifacts: npm, NuGet, Maven package feeds
  • Deployment environments and approval gates
  • Integration with AKS, ACR and Azure App Service
  • Pipeline templates and extends for reusability

Hands-On Lab

Build an end-to-end Azure DevOps pipeline with approval gates and Kubernetes deployment

Module 4 — DevSecOps: Security in CI/CD
6 topics

Topics Covered

  • SAST: SonarQube and Semgrep in pipelines
  • DAST: OWASP ZAP integration
  • Container image scanning: Trivy in CI/CD
  • Secret scanning: GitLeaks and TruffleHog
  • Dependency scanning: OWASP Dependency-Check
  • Software Bill of Materials (SBOM) generation

Hands-On Lab

Add full DevSecOps security gates to an existing CI/CD pipeline

Phase 4 Project — Enterprise CI/CD Platform

  • Jenkins pipeline: build → SAST → test → deploy
  • GitHub Actions workflow for Docker + AKS
  • Azure DevOps pipeline with approval gates
  • Security scanning integrated (Trivy + SonarQube)
  • Multi-environment promotion (dev → staging → prod)
Phase 5

Infrastructure as Code — Terraform

3 Weeks

Master Terraform for cloud infrastructure automation. Learn to write modular, reusable Terraform code that provisions and manages production Azure and AWS infrastructure.

Module 1 — Terraform Foundations
6 topics

Topics Covered

  • Terraform / OpenTofu 1.12.0 (May 2026): providers, state, resources, data sources
  • HCL syntax: variables, outputs, locals, expressions
  • Terraform plan, apply, destroy and import
  • State management: local vs remote (Azure Storage, S3)
  • State locking and workspace management
  • Terraform Cloud and enterprise features

Hands-On Lab

Provision a complete Azure VNet, VM and storage using Terraform from scratch

Module 2 — Terraform Modules & Best Practices
6 topics

Topics Covered

  • Module structure: main.tf, variables.tf, outputs.tf
  • Reusable modules and the Terraform Registry
  • Module versioning and dependency management
  • for_each and count for dynamic resources
  • Terraform testing: terratest and terraform validate
  • Secrets management: Vault provider and sensitive variables

Hands-On Lab

Build and publish a reusable Terraform module for a 3-tier Azure application

Module 3 — Terraform in CI/CD & GitOps
6 topics

Topics Covered

  • Terraform in GitHub Actions: plan on PR, apply on merge
  • Atlantis for pull-request-based Terraform workflow
  • Drift detection and automated remediation
  • Terraform with Azure DevOps: service connection and OIDC
  • Policy as Code with Sentinel (Terraform Cloud)
  • Migrating existing infrastructure to Terraform

Hands-On Lab

Automate infrastructure deployment via GitHub Actions + Terraform with plan/apply PR workflow

Phase 5 Project — Full Azure IaC Platform

  • Modular Terraform codebase for full Azure stack
  • Remote state in Azure Storage with state locking
  • CI/CD pipeline for Terraform (plan on PR, apply on merge)
  • AKS cluster, ACR, networking all Terraform-managed
  • Compliance validation using terraform-compliance
Phase 6

Monitoring, Observability & SRE

3 Weeks

Build production-grade observability platforms. Learn the SRE (Site Reliability Engineering) mindset: SLIs, SLOs, error budgets, on-call practices and incident management.

Module 1 — Prometheus & Grafana
6 topics

Topics Covered

  • Prometheus architecture: scrape, storage, alert rules
  • PromQL: rate, histogram_quantile, aggregation operators
  • Exporters: node_exporter, kube-state-metrics, custom
  • Alertmanager: routing, inhibition, silencing
  • Grafana: dashboards, data sources, variables, annotations
  • Grafana Loki for log aggregation

Hands-On Lab

Deploy Prometheus + Grafana on Kubernetes with 20+ dashboards and alert rules

Module 2 — Azure Monitor & ELK Stack
6 topics

Topics Covered

  • Azure Monitor: metrics, logs, alerts, workbooks
  • Log Analytics KQL: querying application and infra logs
  • Application Insights: APM, distributed tracing, live metrics
  • Elasticsearch, Logstash, Kibana (ELK) fundamentals
  • Fluentd/Fluent Bit for log collection and forwarding
  • OpenTelemetry for vendor-neutral observability

Hands-On Lab

Set up Azure Monitor with Application Insights and build a KQL-powered dashboard

Module 3 — SRE Practices & Incident Management
6 topics

Topics Covered

  • SRE principles: error budgets, toil reduction
  • SLIs, SLOs and SLAs — defining and measuring
  • Incident management: severity levels, on-call rotation
  • Post-mortems: blameless culture, action items
  • Chaos Engineering with Chaos Monkey / Azure FIS
  • Runbooks, playbooks and automated remediation

Hands-On Lab

Define SLOs for a production application, simulate failures and write a post-mortem

Final Capstone — Full Production DevOps Platform

  • Prometheus + Grafana + Loki observability stack on K8s
  • Azure Monitor + Application Insights for cloud services
  • SLO dashboard with error budget tracking
  • Automated incident response runbook
  • Complete CI/CD pipeline from code to production K8s
  • GitHub portfolio with 6 production-ready projects

Hands-On

Real-World Projects

Portfolio-ready projects that employers recognise.

01

Linux Server Automation Scripts

Bash scripts for server provisioning, log rotation, user management and backup automation

02

Dockerised Microservices App

3-service app (frontend + API + database) containerised with Docker Compose and pushed to ACR

03

Production Kubernetes Platform

Multi-service deployment on AKS with Helm, Ingress, TLS, HPA and GitOps via Argo CD

04

Jenkins CI/CD Pipeline

Full Jenkins pipeline: Git checkout → Maven/Node build → Trivy scan → Docker push → K8s deploy

05

GitHub Actions Full Workflow

Automated workflow: code test → build Docker image → push to ECR → deploy to EKS

06

Azure DevOps Enterprise Pipeline

Multi-stage Azure Pipeline with approval gates, environments and deployment to AKS

07

Terraform Azure IaC Module

Reusable Terraform modules provisioning VNet, AKS, ACR, Storage with remote state

08

Terraform CI/CD Integration

GitHub Actions Terraform workflow: plan on PR → human approval → apply on merge

09

Prometheus + Grafana Stack

Full observability stack on Kubernetes with 20+ dashboards, alert rules and PagerDuty integration

10

Azure Monitor Operations Centre

Log Analytics workspace with KQL queries, Application Insights and automated runbooks

11

DevSecOps Security Pipeline

CI/CD with SAST (SonarQube) + Trivy image scan + DAST (ZAP) + secrets detection integrated

12

End-to-End Production Deployment

Terraform infra → Helm chart → GitHub Actions CI/CD → Prometheus monitoring — full production stack

13

SRE Runbook & Incident Drill

Define SLOs, simulate cascading failures with chaos engineering, and write a blameless post-mortem

14

Microservices on EKS (AWS)

Docker-based microservices deployed to AWS EKS with ALB Ingress and CloudWatch monitoring

15

GitOps with Argo CD

Full GitOps workflow: infrastructure changes via PR → Argo CD syncs K8s cluster automatically

Tech Stack

Tools & Technologies

LinuxBashDocker v29.3Kubernetes 1.36HelmJenkinsGitHub ActionsAzure DevOpsTerraform / OpenTofu 1.12PrometheusGrafanaLokiArgo CD v3.3SonarQubeTrivyAzure MonitorAWS EKSAKS

You Prepare For

Certifications

⚙️

CKA

Certified Kubernetes Administrator (prep)

🏗️

HashiCorp Terraform

Terraform Associate Certification (prep)

🟦

AZ-400

Microsoft DevOps Engineer Expert (prep)

☁️

AWS DevOps Pro

AWS DevOps Engineer Professional (prep)

Bonus — Included Free

Bonus Learning Tracks

Python for DevOps

  • boto3 AWS automation
  • Azure SDK scripts
  • REST API calls with requests
  • YAML/JSON parsing
  • Paramiko SSH automation

Cloud Security Basics

  • IAM least-privilege design
  • Network security groups
  • Secrets management best practices
  • Container runtime security
  • CIS Benchmark hardening

Interview Preparation

  • 100+ DevOps interview questions
  • System design for DevOps
  • Kubernetes troubleshooting drills
  • CI/CD design questions
  • Mock technical interviews

After This Program

Career Outcomes

Entry-Level (0–1 yr)

  • Junior DevOps Engineer
  • Build & Release Engineer
  • Cloud Operations Analyst
  • CI/CD Engineer

Mid-Level (1–3 yr)

  • DevOps Engineer
  • Platform Engineer
  • Cloud DevOps Engineer
  • Kubernetes Engineer

Advanced (3+ yr)

  • Senior DevOps Engineer
  • Site Reliability Engineer
  • DevSecOps Engineer
  • Principal Platform Engineer

Ideal For

Who Should Enroll

Students & Freshers

No prior DevOps experience needed. Build 15 real projects in 5 months and land a DevOps role at an MNC or product company.

Software Developers

Own the deployment process. Add Docker, Kubernetes, CI/CD and Terraform to your developer skillset and command a 40-60% salary premium.

Sysadmins & IT Engineers

Modernise your infrastructure skills. Replace manual server management with automated, cloud-native DevOps workflows that scale.

Join the Next Batch

Ready to start your journey?

Live batches start every month. Only 20 seats per batch — enroll early to secure your spot.

Enroll Now Talk to Admissions
No-cost EMILive mentorshipLMS access for lifePlacement support