Taught and reviewed by Pritam Phadtare, Lead DevOps Instructor · Syllabus last updated

This is a live DevOps course, taught on Zoom in batches of no more than 15 people. You get 60 hours of core classes, a 10-hour GenAI module, and five projects deployed on AWS with public links you can share. The fee starts at ₹35,000.
You’ll also get two certificates at the end. We’ll be upfront about those, though. A certificate is a receipt. It shows you finished something. What actually gets people hired in DevOps is the work they’ve built and whether they can talk through it calmly when an interviewer starts poking holes. So this page spends most of its time on what you’ll build, and then gives you a straight answer on which certificates are worth chasing and in what order.
Our DevOps certification course is a live online programme of 60 hours over about 10 weeks, with weekend classes, batches capped at 15, and five AWS projects. You earn two SwitchtoDevOps certificates and prepare for vendor exams like AWS and CKA. Fees start at ₹35,000.
One distinction clears up most of the confusion people have. A certificate from a course says you completed that course. A certification from AWS or the Linux Foundation says you passed their proctored exam. Both have a place. They’re not the same thing, and plenty of course pages blur them on purpose.
This course gets you the first and prepares you properly for the second. The exam itself is booked and paid for separately, with the vendor. The certification map below explains which exam makes sense for you, because the answer for a fresher is quite different from the answer for someone with five years in ops.
People join from pretty different starting points. That’s a big reason batches stay small: a 22-year-old who’s never opened a terminal and a QA engineer with four years of experience need different kinds of help in the same class.
| You are | Where you’ll start | What you’ll need |
|---|---|---|
| A fresher or final-year student | Linux and Git from scratch, no DevOps background assumed | Consistency more than talent. Most of the learning happens in practice between classes |
| A developer, tester or sysadmin | You’ll move faster through basics and spend longer on Kubernetes, Terraform and pipelines | Usually the quickest switch, since you already understand how software ships |
| From a non-IT background | Same starting line as freshers, with extra time on command-line comfort in the first two weeks | Patience. It’s doable, and people do it, but it takes steady weekly effort |
| An experienced engineer | Look at the Expert course instead, which goes into service mesh, multi-cloud, SRE and production architecture | A clear goal, like a platform or SRE role |
If you’re coming from completely outside tech, read our guide on switching to DevOps from a non-IT background before you commit to any course. It’s realistic about how long it takes.
Who shouldn’t join? If all you want is to pass one vendor exam quickly, a short exam-prep bootcamp will suit you better and cost less. If you can’t find roughly 12 to 16 hours a week for ten weeks, it’s better to wait than to fall behind in week four. And if you need a university degree for a visa or a government job, no skills course will give you that.
We’ll say this plainly because most of the industry won’t. In DevOps hiring in India, especially at product companies and global capability centres, certificates are rarely what decides an offer. What tends to move things, roughly in this order, is:
Think about what actually happens in a technical round. Nobody asks you to recite what a Kubernetes Deployment is. They ask why your pod kept restarting, how you’d roll back a bad release at 2 a.m., or why you put the database in a private subnet. You can only answer those well if you’ve hit those problems yourself, at least once, in a project that’s yours.
Certificates still help. Some companies use them as a screening filter, and a recognised one can get your resume past a recruiter who doesn’t know the tools. That’s useful. It just isn’t the main event.
If you’d rather learn on your own first and see how far you get, our free DevOps roadmap follows the same order of topics we teach.
There are three kinds of “DevOps certification”, and they mean very different things to an employer. Course certificates show completion. Vendor certifications from AWS, the CNCF or HashiCorp show you passed an independent exam. Co-badged credentials add an industry or skilling-scheme logo to a course certificate.
| Type | Who issues it | What it proves | How employers usually treat it |
|---|---|---|---|
| Course completion certificate | The training provider (including us) | You completed the programme and its projects | A modest signal on its own. Stronger when paired with projects they can open |
| Vendor certification | AWS, CNCF / Linux Foundation, HashiCorp, and others | You passed a proctored exam set by the people who make the tool | Widely recognised. Often used as a resume filter |
| Co-badged or skilling-scheme credential | A course provider, with an industry body or government skilling logo added | Depends entirely on what the logo certifies | Varies a lot. Ask what’s being certified and whether your target employers look for it |
You’ll earn two. The DevOps Practitioner certificate comes from finishing the core course, all five projects and the capstone. The GenAI DevOps Specialist certificate comes from the separate GenAI module.
They’re honest records of real work, and each one sits next to a portfolio an interviewer can click through. They don’t replace an AWS or CNCF certification, and anyone telling you their in-house certificate does is overselling.
These are the ones hiring managers recognise without needing an explanation.
The AWS Certified Solutions Architect – Associate is a broad AWS exam and a sensible first certification for most people. The AWS Certified DevOps Engineer – Professional goes much deeper, and AWS aims it at people with two or more years of hands-on experience running AWS environments. It’s 180 minutes long and listed at $300.
The Certified Kubernetes Administrator (CKA) is run by the CNCF with the Linux Foundation. It’s a hands-on exam in a live terminal, which is exactly why people respect it. The CNCF lists it at $445. HashiCorp’s Terraform Associate is a lighter exam focused on infrastructure as code.
Exam prices as listed in October 2026. They change, so always check the official page before you book.
You’ll see course certificates carrying an extra logo from an industry association or a government skilling programme. Some of these have real value in specific contexts, like certain government or campus hiring. Others mostly decorate a PDF.
Before paying extra for one, ask two things. What exactly does this logo certify? And do the companies you’re applying to actually ask for it? If nobody can answer the first question clearly, that’s your answer.
| Your profile | Sensible first exam | Why | Wait on |
|---|---|---|---|
| Fresher or non-IT switcher | AWS Solutions Architect – Associate, or Terraform Associate | Broad, associate-level, and it pairs well with your projects | AWS DevOps Engineer – Professional, until you’ve got real work experience on AWS |
| Developer, tester or sysadmin | AWS Solutions Architect – Associate, then CKA | Builds on what you already know about delivery and systems | — |
| Working DevOps or cloud engineer | CKA, then AWS DevOps Engineer – Professional | Proves operating skill at depth, which is what senior roles look for | — |
We’ve written a longer piece on whether DevOps certifications are worth it, including when they pay off and when they don’t. Short version: take one after the course, not before, and pick it based on the job you want next.
The core course is 20 live classes of three hours each, on Saturdays and Sundays. Every module ends with a lab where you build something, not a quiz.
| Week | What you’ll learn | What you’ll have built by the end |
|---|---|---|
| 1 | Linux and Git: command line, permissions, shell scripting, cron jobs, branching and pull requests | A working environment and a few automation scripts you’ll keep reusing |
| 2 | AWS core services: EC2, S3, IAM, VPC, RDS, CloudWatch | A three-tier app running in a properly segmented VPC |
| 3 | Docker: images, Dockerfiles, multi-stage builds, Compose, volumes | A small microservices app, fully containerised |
| 4 | Kubernetes: pods, deployments, services, ingress, autoscaling, Amazon EKS | Those microservices running on EKS and scaling under load |
| 5 | CI/CD with Jenkins and GitHub Actions: declarative pipelines, blue-green and canary releases | A pipeline that goes from a Git commit to EKS, with tests |
| 6 | Terraform and infrastructure as code: HCL, providers, state, modules | Your whole AWS setup rebuilt from code |
| 7 | Monitoring and logging: CloudWatch, Prometheus, Grafana, ELK, SLIs and SLOs | Dashboards and alerts that actually fire when something breaks |
| 8 | DevSecOps: Trivy, Checkov, AWS Secrets Manager, HashiCorp Vault, SAST and DAST | A pipeline that blocks insecure images and leaked secrets |
| 9–10 | Capstone build and interview preparation | The capstone, ready to present |
A few notes on how this plays out in practice.
Week 4 is where most people wobble. Kubernetes has a lot of moving parts, and networking in particular tends to confuse everyone the first time. That’s fine. It’s also the week where having 15 people in the room, not 50, matters most. Our Kubernetes explained for beginners guide is worth reading the weekend before.
Week 6 tends to be the one people enjoy most, oddly. Watching Terraform rebuild an entire environment you set up by hand in week 2 makes the idea of infrastructure as code click in a way slides never do. If you want a head start, read Terraform explained.
Alongside the core weeks there’s a separate 10-hour module on GenAI for DevOps. It covers using AI to draft Terraform and Kubernetes YAML (and catching where it gets things wrong), AI-assisted incident response, and building a small bot that explains a failed deployment in plain English. More detail on the GenAI for DevOps module page.
Before week 1, you’ll set up a free-tier AWS account with budget alerts switched on, install Docker and a code editor, and clone a starter repo. It takes an evening. If your laptop struggles to run three or four containers at once, tell us early. There are workarounds, but it’s much easier to sort out before class than in the middle of a Kubernetes lab.
Each project ends up at a public URL. That’s deliberate. “I built a CI/CD pipeline” is easy to say. Sending a link where the interviewer can see it running is a lot more convincing.
A frontend, an app layer and a database, laid out across public and private subnets. It’s the project interviewers use to check whether you really understand VPCs, security groups and IAM, or whether you just clicked through a tutorial. Expect a question like: why is the database not reachable from the internet, and how would you let a developer debug it safely?
Several small services talking to each other, containerised and deployed on Kubernetes. This is the architecture system-design rounds love to probe. You’ll be ready for questions about service discovery and what happens when one service goes down.
S3, CloudFront, Route 53 and SSL, with GitHub Actions deploying on every push. It’s simple on purpose, and it’s the one you’ll probably show first because it loads instantly on a phone.
Commit, build, test, scan, deploy to Kubernetes. Interviewers will ask what happens if the tests fail halfway, and how you’d roll back.
Terraform provisions it, EKS runs it, Jenkins ships it, Prometheus and Grafana watch it, ELK collects the logs and security scanners guard the pipeline. It’s the closest thing to a real production setup you’ll build in the course, and the one worth spending the most time explaining well.
We’ll help you write these up for your resume and practise presenting them. There’s more on that in our guide to presenting DevOps projects in interviews.
A quick word on what makes a project interview-ready, because it isn’t the tool list. It’s a short README that says what the project does, a diagram, and two or three things that went wrong while you built it and how you fixed them. Interviewers remember the candidate who says “my pipeline kept failing because the image tag wasn’t changing, and here’s how I found it” far longer than the one who lists twelve tools.
Want to see how a class actually runs before deciding? Book a free 45-minute demo. The instructor builds a CI/CD pipeline live, from an empty repo to a working deploy, and you can ask whatever you like.
The course builds the hands-on skills that AWS and CKA exams test, but it isn’t an exam-cramming course. Here’s an honest mapping of what’s covered and where you’ll need to study further on your own.
| Exam | Covered well in the course | You’ll need extra study on |
|---|---|---|
| AWS Solutions Architect – Associate | EC2, S3, IAM, VPC, RDS, CloudWatch, deploying real architectures (weeks 2, 4, 6) | Wider AWS services, cost optimisation and exam-style scenario questions |
| CKA | Deployments, services, ingress, autoscaling, troubleshooting on EKS (weeks 4, 5, 7) | Cluster setup and upgrades with kubeadm, etcd backup and restore, speed under time pressure |
| Terraform Associate | State, modules, providers, real AWS provisioning (week 6) | Terraform Cloud features and exam-specific terminology |
| AWS DevOps Engineer – Professional | CI/CD concepts, monitoring, IaC thinking | AWS-native tools like CodePipeline and CloudFormation, plus real work experience |
Because you’ll have built three-tier and multi-service architectures yourself, a lot of the Associate exam’s scenario questions will feel familiar. What the course doesn’t do is drill practice papers. Plan two to four weeks of focused exam prep after the course, using AWS’s own exam guide and sample questions.
The CKA is a practical exam in a live terminal, so the habits you build in weeks 4 to 7 matter more than memorised facts. The gap is cluster administration on self-managed Kubernetes (we use EKS, which handles a lot of that for you) and raw speed. Practise in a timed environment before you book.
On timing: book your exam for a few weeks after the course ends, not months. The skills are freshest then, and having a date on the calendar keeps you practising. If you’re also job hunting, do the exam first if you can. A certification that says “in progress” on a resume carries far less weight than one that says “passed”.
DevOps pays well in India compared with many IT tracks. Still, a lot of the salary numbers you’ll find online are inflated. Here’s the realistic all-India picture we use:
| Level | Typical range | What moves it |
|---|---|---|
| Entry, first DevOps role | 5–10 LPA | Higher in Bengaluru and Gurugram, lower in tier-2 cities |
| Mid-level, 3–5 years | 12–25 LPA | City, company type and how deep your Kubernetes and cloud skills go |
| Senior, SRE or lead | 25 LPA and above | Especially at product companies and global capability centres |
Ranges reflect self-reported learner outcomes and market observation, not a guarantee. See how we calculate placement figures and our guide to DevOps engineer salary in India for sources and dates.
The roles you’ll be aiming at are DevOps engineer, cloud engineer, build and release engineer, and, a bit later, SRE or platform engineer.
Placement assistance on this course means resume building around your projects, mock technical interviews and referrals where we have them. It doesn’t mean a guaranteed job, and we’d be wary of anyone promising one. Where you land depends far more on your portfolio and how you interview than on which course logo is on your certificate.
What usually happens after the course is less dramatic than ads suggest. Most people spend the first few weeks polishing their projects and resume, then apply steadily, and the first interviews feel rough. That’s normal. By the third or fourth technical round, the questions start sounding familiar, because they’re the same ones you already hit in your own labs. People who keep building small things while they apply, like adding monitoring to an old project or writing a short blog post about a bug they fixed, tend to get there faster. It gives them something fresh to talk about.
The Professional course, which is the one this page describes, costs ₹35,000. The Expert course, for experienced engineers moving into senior or SRE roles, costs ₹80,000 for 150 hours over 5 months. Both are taught live online with a maximum of 15 people per batch, and there’s no GST added because we aren’t GST-registered.
EMI is available: the ₹35,000 course can be paid in 3 monthly instalments of ₹11,667, with no interest. For the full picture, including cost per hour, what the fee covers and what it doesn’t (exam vouchers, for example), see the full DevOps course fee breakdown.
If the course isn’t right for you, there’s a 7-day money-back guarantee: ask within 7 days of enrollment and you get a full refund, no questions asked. The details are in our refund policy.
There are three main formats, and the right one depends on how you learn.
Cheap and flexible. They’re great if you’re disciplined and only need content. The catch is that nobody notices when you stop, and a lot of people do.
Big brands bring structure and a well-known name for your resume. With 30 to 50 people in a batch, though, individual attention is limited.
What we run. They trade brand size for depth: you get someone who knows exactly where you’re stuck by week two. The trade-off is a smaller name on your certificate.
If a big brand name matters most to you, choose that honestly. The worst outcome is paying for any format and not finishing it.
Whichever you’re considering, ask four things. How many people were in the last batch? Is the demo teacher the same person who’ll teach you? Which certificate do I get, and who issues it? Do the projects end up somewhere I can show an employer?
We’ve also put together a fuller guide on how to choose a DevOps institute, with questions to ask during a demo class.
Every batch is taught live by Pritam Phadtare, Lead DevOps Instructor. He’s an AWS Certified Solutions Architect with more than eight years in DevOps and cloud engineering, and an ex-DevOps Lead at TCS, and he’s been teaching live batches since 2021. He also runs the GenAI module himself. There’s no rotating panel of trainers, and the person you meet in the demo is the person who teaches your batch.
Classes are three hours long, every Saturday and Sunday. The first part is usually explanation and live demo. The rest is building, with screens shared and problems fixed in the open. Every session is recorded, so if you miss one, you can catch up before the next weekend. Doubts between classes go to the batch group, and with 15 people, they don’t get lost in a scroll of 300 messages.
A typical Sunday might go like this. The first hour covers why Kubernetes Services exist and how traffic actually reaches a pod. Then everyone deploys the same app, someone’s service won’t route, and the class debugs it together on a shared screen. That last part, the unplanned bit, is often the most useful hour of the week.
Start with what you’ll build
A certificate will tell an employer you finished a course. Your projects will show them what you can actually do, and a vendor certification on top will help get you through the door. This course is built to give you all three, in that order.
If you’d like to see the teaching before deciding, book the free 45-minute demo. You’ll watch a CI/CD pipeline get built live, from scratch, and you can ask the instructor anything about the syllabus, the projects or the exams.
Lead DevOps Instructor · ex-DevOps Lead at Maxgen Technologies Pvt. Ltd · AWS Certified Solutions Architect
Pritam spent 8+ years in DevOps, most recently as a DevOps Lead at Maxgen Technologies Pvt. Ltd, where he sat on the hiring side of DevOps interviews. That is what he brings to teaching: he knows what a panel checks when a tester, a support engineer or someone from outside IT says they want to move into DevOps, and the course is built to close exactly those gaps.
He has taught every SwitchtoDevOps batch himself since 2021 — live, capped at 15 — and runs the GenAI-for-DevOps module personally.
Former students, in their own words
In your free demo you will build a live CI/CD pipeline from scratch — not watch a slideshow. It takes 45 minutes and shows you exactly what the full course feels like.
45 minutes, live with the instructor. No payment required.
We call you back within 24 hours. No spam.
Where our alumni have gone on to work
Transparent pricing with no hidden fees — pick the course that matches your goals
Course fee and payment options · 60 hours over 10 weeks · Weekend batches (Sat + Sun) · EMI available
DevOps Engineer roles (alumni report 8-16 LPA)
What is included in the course fee · 150 hours over 5 months · Full mentorship + placement
Senior DevOps/SRE roles (18-35 LPA market band)
The core training is national and 100% live online. For city-specific interview prep and the local hiring landscape, pick your city: