stage 01 · planFree preview
90-Day Run-Book to Get a Job
- Get the full 90-day orientation roadmap from day one to job-ready
- Set weekly milestones and know exactly what to build each stage
- Start with the end in mind — a clear plan to land the role
Batch is live · Enrolment open
Become an AI-powered DevOps engineer who ships to production.
Start from the fundamentals and go all the way to shipping real systems — pipelines, Kubernetes, Terraform and observability, with AI in your workflow. No prior experience required.
The curriculum
- 01Learn from a working engineerReal production experience, not textbook theory.
- 02Practice on real scenariosHands-on labs that mirror actual on-the-job work.
- 03Build & deploy production-grade projectsShip real systems, end to end — not toy demos.
- 04Showcase a portfolio that stands outProjects & a capstone you can defend in interviews.
- 05Land a high-paying DevOps roleResume, LinkedIn & mock interviews to close the offer.
stage 02 · foundation
Why DevOps | DevOps Fundamentals
- Understand the DevOps culture, lifecycle and where the field is heading
- See the real career paths and how modern teams actually work
- Build the mental model that ties every later chapter together
stage 03 · commit
Linux & Bash Scripting
- Work confidently in the Linux shell — files, processes, permissions
- Automate routine tasks with Bash scripting
- Debug and operate real Linux systems like an engineer
stage 04 · design
Networking & System Design
- Understand OSI / TCP-IP, DNS and how traffic actually flows
- Work with load balancers and core network security
- Reason about how systems are designed to scale
stage 05 · versioning
Git & GitHub
- Master Git — branching, merging, rebasing and history
- Collaborate through pull requests and code review on GitHub
- Contribute to open source and manage real team workflows
stage 06 · intelligence
AI & Agentic AI Mastery for DevOps
- Build AI agents that automate real DevOps workflows
- Work hands-on with modern agentic AI frameworks
- Put AI to work on troubleshooting, operations and automation
stage 07 · build
Docker Containers & Docker Compose Mastery
- Containerize real applications with clean, multi-stage Dockerfiles
- Manage images, volumes and networks; debug running containers
- Run multi-service apps locally with Docker Compose
stage 08 · cloud
Multi-Cloud Mastery (AWS, Azure, GCP) for DevOps
- Navigate the core services across AWS, Azure and GCP
- Design with compute, networking, storage and identity on each cloud
- Choose the right cloud and pattern for the job
stage 09 · provision
Terraform for AWS Cloud
- Provision AWS infrastructure declaratively with Terraform
- Structure reusable modules and manage remote state
- Apply IaC best practices to real AWS environments
stage 10 · provision
Terraform for Azure Cloud
- Provision Azure resources with the AzureRM provider
- Model resource groups, networking and services as code
- Reuse patterns and state strategies across Azure projects
stage 11 · provision
Terraform for GCP Cloud
- Provision Google Cloud resources declaratively with Terraform
- Work with the GCP provider, projects and networking
- Standardise IaC across all three clouds
stage 12 · orchestrate
Multi-Cloud Kubernetes Mastery
- Deploy, scale and operate applications on Kubernetes
- Run clusters across managed services — EKS, AKS and GKE
- Handle real production concerns: rollouts, scaling and resilience
stage 13 · package
Advanced Helm Chart Mastery
- Package and release applications with Helm charts
- Master templating, values, dependencies and hooks
- Build reusable charts for production delivery
stage 14 · observe
Observability Mastery
- Instrument systems with metrics, logs and traces
- Build dashboards and alerts with Prometheus and Grafana
- Turn signals into fast, confident troubleshooting
stage 15 · observe
OpenTelemetry Mastery
- Instrument applications with OpenTelemetry SDKs
- Collect and export metrics, logs and traces
- Trace requests end-to-end across distributed systems
stage 16 · gitops
GitOps with ArgoCD Mastery
- Ship to production the GitOps way with ArgoCD
- Keep clusters continuously synced from Git
- Manage rollouts, drift and multi-environment delivery
stage 17 · integrate
Jenkins CI/CD Mastery
- Build pipelines that test, build and ship on every commit
- Write declarative and scripted Jenkins pipelines
- Automate delivery to real cloud and Kubernetes targets
stage 18 · secure
DevSecOps in Cloud & CI/CD Pipelines
- Bake security into the pipeline with a DevSecOps mindset
- Add scanning, secrets management and policy gates
- Secure cloud infrastructure and CI/CD end to end
stage 19 · portfolio
GitHub Portfolio Mastery
- Build a GitHub profile that stands out to recruiters
- Showcase projects with clean READMEs and structure
- Turn your work into a portfolio you can defend in interviews
stage 20 · brand
LinkedIn Mastery
- Optimise your LinkedIn profile for DevOps roles
- Build presence and network with the right people
- Attract recruiters and inbound opportunities
stage 21 · projects
12 DevOps Projects Mastery
- Build 12 production-grade projects across the full stack
- Apply every tool and concept end to end
- Leave with a portfolio of real, shippable systems
stage 22 · freelance
Freelancing Mastery
- Find and win DevOps freelance clients and gigs
- Scope, price and deliver engagements professionally
- Build a sustainable income stream from your skills
See the full syllabus (opens on the LMS in a new tab)
Free bonuses
Enrol and get 2 courses, free
Every DevOps: Zero to Hero enrolment includes these standalone courses at no extra cost — yours as part of the flagship.
Python for DevOps
Automate cloud and infrastructure tasks with practical, DevOps-focused Python.
Free with your enrolmentAgentic AI for DevOps
Build AI agents that automate real DevOps workflows, end to end.
Free with your enrolment Projects
Build a portfolio, not just notes
You leave every stage with something real. By the end you have a portfolio of production-grade projects and a capstone.
End-to-end CI/CD pipeline
Ship an application automatically on every commit, with tests and quality gates.
GitHub ActionsDocker
Kubernetes microservices deploy
Containerize and run a multi-service app on Kubernetes, packaged with Helm.
KubernetesHelm
Multi-environment Infrastructure as Code
Provision a complete cloud environment using reusable Terraform modules.
TerraformAWSAnsible
GitOps with ArgoCD
Deploy to production declaratively, continuously synced from Git.
ArgoCDKubernetes
Monitoring & alerting stack
Instrument a system and build dashboards and alerts that catch real issues.
PrometheusGrafana
AIOps workflow
Automate routine ops and troubleshooting with AI agents in the loop.
AI AgentsPython
Tools
The tools you'll actually use
Linux
Git
Docker
Kubernetes
Terraform
AWS
GitHub Actions
Jenkins
Ansible
Prometheus
GrafanaArgoCD
Helm
Azure
GCP
OpenTelemetry Community
You won't be doing this alone
#90DaysOfDevOps
Open to allThe free, open-source challenge that started the movement. Fork the roadmap, learn in public, and build the habit — no enrolment needed.
8,000+Forks
1,300+Stars
When you enrol
Students onlyEnrolling puts you inside our private Discord — 10,000+ learners already in. The invite comes with your enrolment.
- Doubt-solving
- Daily job postings
- Peer-to-peer study groups
- Resource drops
- Community interactions
Who this is for
Is this you?
- Complete beginners ready to put in the work
- Developers, sysadmins or IT folks moving into DevOps and Cloud
- Engineers who want hands-on, production-grade skills — not just theory
- Anyone who wants AI woven into their daily DevOps workflow
FAQ
Questions, answered
Do I need prior experience?
No. The course starts from the fundamentals — Linux, Git and the DevOps lifecycle — and builds up to production systems. Complete beginners are welcome, as long as you are ready to put in the work.
Will the sessions be recorded?
Yes. Every live session is recorded and made available on the LMS, usually the same day. You get 4 years of access to all recordings.
What are the class days and timings?
Live sessions run on a fixed weekly schedule with weekly doubt-clearing sessions on Wednesdays. Exact timings for the current batch are shared on enrolment and confirmed in the private community.
Is it live or self-paced?
It is a live cohort with the instructor, backed by recordings. You learn live, ask questions in real time, and revisit anything on demand.
What if I miss a live class?
No problem — watch the recording on the LMS and bring your questions to the next weekly doubt-clearing session.
How long do I have access?
You get 4 years of access to all recordings, materials and updates for the batch you enrol in.
Do I get a certificate or credential?
Yes. On completion you earn a verifiable DevOps Engineer (Associate) digital credential you can add to LinkedIn and your résumé, backed by the projects and capstone you ship.
What language are the sessions in?
Sessions are taught in Hindi / Hinglish so concepts are easy to follow, while all technical terms, tools and code stay in standard English.
Can I expense this with my employer?
Many learners do. You will receive an invoice on payment that you can submit to your employer for learning-and-development reimbursement.
How do I enroll?
Click any "Book Demo Class" button, choose your region (₹ for India, $ for the rest of the world), and complete payment. Your LMS and community access arrive right after.
Still deciding? Start now — your future team is waiting.
Join the live batch, build real systems, and walk away job-ready with AI in your workflow.