Production-Ready Track

DevOps Engineering

Complete DevOps Mastery

Comprehensive DevOps bootcamp covering everything from Linux fundamentals to advanced Kubernetes and GitOps. Build real CI/CD pipelines and infrastructure as code.

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DevOps Curriculum

14 weeks of intensive, hands-on training covering the complete DevOps lifecycle

Total Duration: 18 Weeks
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Week 1-2

Linux & Scripting

Topics Covered:

  • Linux kernel fundamentals & architecture
  • File permissions & ownership (chmod, chown)
  • User, group & privilege management (sudo, useradd)
  • Secure remote access with SSH & SCP
  • systemd service management (systemctl, unit files)
  • Processes, signals & job control
  • Package management & disk/mount essentials

Hands-On Labs:

  • ▹Configure an SSH server with key-based login
  • ▹Create and manage a custom systemd service
  • ▹Write a restricted sudoers policy
  • ▹Automate server setup with shell scripts
Week 3-4

Containers & Docker

Topics Covered:

  • Container runtimes: containerd & containerd-shim
  • Dockerfile instructions (RUN, CMD, ENTRYPOINT, COPY, ADD, ENV)
  • Shell vs exec form & the .dockerignore file
  • Image optimization & best practices (small images, layer caching, non-root, HEALTHCHECK)
  • Docker storage & volumes for persistent data
  • Linux namespaces & container isolation
  • Multi-container apps & container networking

Hands-On Labs:

  • ▹Write an optimized multi-stage Dockerfile
  • ▹Run a Flask + MongoDB multi-container app with networking
  • ▹Apply image size & security best practices
  • ▹Persist data with Docker volumes
Week 5-6

Kubernetes Deep Dive

Topics Covered:

  • Pods, ReplicaSets, Deployments, Services & Namespaces
  • Scheduling: taints/tolerations, node & pod affinity
  • Resource requests/limits, quotas, HPA & VPA
  • ConfigMaps, Secrets, init & multi-container pods
  • Storage, volumes & StatefulSets
  • Networking, DNS & service networking
  • Security: RBAC, ServiceAccounts, TLS & security context
  • Cluster ops: kubeadm upgrades & etcd backup/restore
  • Packaging with Helm (templating, values, hooks, subcharts)

Hands-On Labs:

  • ▹Deploy and expose microservices with Deployments & Services
  • ▹Control scheduling with affinity, taints & tolerations
  • ▹Secure a cluster with RBAC and ServiceAccounts
  • ▹Package an app with a custom Helm chart
  • ▹Back up & restore etcd and run blue-green / canary rollouts
Week 7-8

CI/CD Pipelines

Topics Covered:

  • GitLab CI/CD architecture & runners (shared/specific)
  • Pipeline building blocks: stages, jobs, artifacts, needs
  • Variables, masking, predefined variables & secrets
  • Rules at job & workflow level; merge requests
  • Schedules, resource groups, parallel matrix & timeouts
  • Caching dependencies & using services
  • Unit testing, coverage & test reports
  • Docker build & Kubernetes deployment from pipelines

Hands-On Labs:

  • ▹Build a multi-stage GitLab pipeline for a Node.js app
  • ▹Configure unit tests, coverage & artifact reports
  • ▹Build and push a Docker image from the pipeline
  • ▹Deploy to Kubernetes with secrets & placeholder tokens
Week 9-10

Infrastructure as Code

Topics Covered:

  • HCL fundamentals, providers & input/output variables
  • Resource attributes, dependencies & lifecycle rules
  • Terraform state, remote backend & state locking
  • Meta-arguments: count, for_each & conditional expressions
  • Datasources, functions & version constraints
  • Provisioners, taints, import & debugging
  • Reusable modules & workspaces
  • Provisioning cloud compute (EC2 / ECS) with Terraform

Hands-On Labs:

  • ▹Provision cloud compute with Terraform
  • ▹Build reusable Terraform modules
  • ▹Configure a remote backend with state locking
  • ▹Use count/for_each and workspaces for multi-environment setups
Week 11-12

Configuration Management with Ansible

Topics Covered:

  • Ansible architecture: control node, managed nodes & inventories
  • Configuration files (ansible.cfg) & precedence
  • Ad-hoc commands & core modules
  • Playbooks, plays & YAML structure
  • Facts, variables, register & magic variables
  • Variable precedence & scopes
  • Conditionals, loops, blocks & error handling
  • Jinja2 templating & templates
  • Roles, includes/imports & reuse
  • Ansible Vault for secrets & dynamic inventory

Hands-On Labs:

  • ▹Set up a control node and managed nodes with SSH keys
  • ▹Write playbooks to deploy a multi-tier web app
  • ▹Build reusable roles and Jinja2 templates
  • ▹Encrypt secrets with Ansible Vault and use dynamic inventory
Week 13-14

Observability & Monitoring

Topics Covered:

  • The three pillars of observability: metrics, logs & traces
  • Prometheus architecture: TSDB, pull-based scraping & the data model
  • Exporters & instrumentation: node_exporter, cAdvisor, blackbox & client libraries
  • PromQL: selectors, rates, aggregations & functions
  • Recording rules & alerting rules
  • Alertmanager: routing, grouping, inhibition, silences & receivers
  • Kubernetes service discovery & relabeling
  • Grafana: data sources, dashboards, panels & template variables
  • Dashboards & alerts as code (provisioning, kube-prometheus-stack)
  • SLIs, SLOs & error budgets; the RED and USE methods

Hands-On Labs:

  • ▹Deploy Prometheus & Grafana on Kubernetes with the kube-prometheus-stack Helm chart
  • ▹Instrument a sample service and scrape custom metrics via exporters
  • ▹Write PromQL queries and build Grafana dashboards with templating
  • ▹Configure Alertmanager routing and send alerts to Slack/email
  • ▹Define an SLO with a multi-window error-budget burn-rate alert
Week 15-16

GitOps & Production

Topics Covered:

  • GitOps principles, benefits & trade-offs
  • ArgoCD architecture & core concepts (Applications, Projects)
  • Installation, reconciliation loop & sync strategies
  • App health checks, sync hooks & ignoreDifferences
  • Webhooks for faster reconciliation
  • RBAC, local users & SSO integration
  • Multi-cluster management & deployment
  • ApplicationSet & generators for scale

Hands-On Labs:

  • ▹Install ArgoCD and deploy an app declaratively
  • ▹Configure sync strategies, hooks & health checks
  • ▹Set up RBAC with local and SSO users
  • ▹Manage multiple clusters with ApplicationSet
Week 17-18

AI for DevOps (AIOps & AI Agents)

Topics Covered:

  • AI & LLM foundations for engineers: prompts, tokens, context & embeddings
  • AI-assisted DevOps: generate & review Dockerfiles, K8s manifests, pipelines & playbooks
  • Building AI agents: tool/function calling to drive kubectl, Terraform & CI safely
  • RAG over your runbooks, docs & dashboards with a vector database
  • AIOps: anomaly detection, alert-noise reduction & incident correlation
  • AI in observability: metric/log anomaly detection & root-cause analysis
  • ChatOps: AI assistants that triage alerts & summarize incidents
  • Responsible & secure AI: prompt injection, guardrails, secrets & cost control

Hands-On Labs:

  • ▹Use an AI coding assistant to scaffold and review a CI/CD pipeline
  • ▹Run a local LLM with Ollama and build a RAG over your runbooks
  • ▹Build a DevOps agent that calls kubectl/terraform via tool-calling
  • ▹Add anomaly-based alerting on Prometheus metrics
  • ▹Build a ChatOps bot that triages alerts and summarizes incidents

Tools You'll Master

Industry-standard tools used by top engineering teams worldwide

Containers

Docker
Podman
containerd

Orchestration

Kubernetes
Helm
Kustomize

CI/CD

GitHub Actions
GitLab CI
Jenkins
ArgoCD

Infrastructure as Code

Terraform
Ansible
Pulumi

Observability & Monitoring

Prometheus
Grafana
Alertmanager

AI & Agents

Copilot
Ollama
LangChain

Ready to Start Your DevOps Engineering Journey?

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DevOps Engineering Training

₹50,000/ complete program
Duration: 18 Weeks
Level: Beginner to Advanced
Next Cohort: November 2026

Payment plans available

What's Included:

  • 18 weeks of intensive training
  • 15+ hands-on projects
  • Real-world CI/CD pipelines
  • Multi-cloud deployments
  • 1:1 mentorship sessions
  • Resume and interview prep
  • Job referrals to partners
  • Lifetime lab access
30-day money-back guarantee
Lifetime access to materials
Certificate of completion

Flexible Payment Options

Choose the plan that fits your budget

1

Full Upfront Payment

50,000 INR or 2,100 SAR

Maximum savings with single payment

2

Two Installments

30,000 INR upfront

25,000 INR after 3 months

Balanced payment schedule

3

Three Installments

25,000 INR + 18,000 INR + 18,000 INR

Maximum flexibility for budget planning

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