Quick answer: Yes. You can move into DevOps without resigning first. Choose a course that is live on weekends and records every class, keep about 12–14 hours a week free for it, and build your projects on a real AWS account. From first class to interviews, most working people need roughly 5–6 months.
Nobody's first question about a DevOps course for working professionals is about Kubernetes. It's about time. Or the lack of it.
Picture a normal weekday. You log off around 6:30, crawl home through traffic, eat something, reply to the family WhatsApp group, and by 9:45 your brain is mush. A course has to squeeze in somewhere in there, and on paper it doesn't look like it will.
Money is the other worry. Fees in India swing from a few thousand rupees to well past a lakh, and the nightmare goes like this: you pay ₹35,000, a release blows up at work in week four, you fall behind, and you quietly stop logging in.
I'd like to help you dodge that. Below is the stuff that actually decides whether this works for someone with a job: the real weekly hours, which formats survive a busy month, what the syllabus should have in 2026, how your current role shapes the route, and a rough timeline. We run weekend batches ourselves at SwitchtoDevOps, so I'll tell you how ours works as well. Including who shouldn't join.
Key takeaways
- 12–14 hours a week is the honest number. Courses quoting 3–5 are usually counting homework and nothing else.
- Live weekend batches with recordings beat self-paced video for most people juggling a job.
- A tester, a support engineer and a developer don't take the same route in.
- Certifications are optional. Projects and interview performance aren't.
- Plan on 5–6 months, then add whatever your notice period is.
Can you learn DevOps while working full-time?
You can. It's usually the smarter route, too, since salary keeps landing every month while you skill up. Expect roughly 12–14 hours a week across 10 weeks of classes, then another 2–3 months for projects and interviews.
The tools themselves aren't what break people. If you survive sprint planning at your company, Linux and Terraform won't beat you. Consistency is the killer. Somewhere in those ten weeks a P1 ticket will swallow two of your evenings. Your Kubernetes Saturday will collide with a cousin's engagement. One week you'll be too fried to even open the laptop, and that's fine, it happens to everybody.
So don't rely on motivation. Set the week up so that skipping feels awkward. A live class at 10 on Saturday morning, with the instructor already sharing their screen and a dozen other people on the call, is weirdly hard to bunk. A video bookmarked for "later" is very easy to bunk. Two short weekday sessions beat one heroic five-hour Sunday. And pick a course that records everything, because you will miss one eventually.
Something people with jobs underrate: you're not a beginner in the way a fresher is. Restarted a service from a ticket? Written a crude shell script to clear /var/log before the disk filled up? Sat on a midnight incident bridge, or pushed a build to UAT? All of that lives next door to DevOps. You already know how production behaves when it's unhappy. Freshers have to learn that from scratch, while you mostly need the tooling.
Whether the switch makes sense at your age is a different question. We tackled it in switching to DevOps after 30. This page is about the mechanics.
How many hours a week does a DevOps course need?
Somewhere around 12–14. Six of them are the weekend live classes. The remaining 6–8 are you, alone with a terminal, on weekday evenings. That's just the maths of a 10-week course with two 3-hour classes every weekend.
You'll see institutes quote far less. Mostly they're counting assignments only, and I'd treat that number with some suspicion. Watching an instructor deploy to Kubernetes takes twenty minutes and looks simple. Doing it yourself, with the pod stuck in CrashLoopBackOff and the logs telling you nothing useful, takes an hour and a half. That hour and a half is the bit that gets you hired.
A sample week for someone working 9:30 to 6:30
| Day | What you do | Time |
|---|---|---|
| Monday | Redo Saturday's lab on your own AWS account | 1 hr |
| Tuesday | Rewatch the parts of the recording you found hard | 1 hr |
| Wednesday | Lab work or the week's assignment | 1.5 hr |
| Thursday | Read docs, write notes, post doubts in the course group | 1 hr |
| Friday | Rest | 0 |
| Saturday | Live class, then 1 hour of practice | 4 hr |
| Sunday | Live class, then 1 hour on your project | 4 hr |
| Total | 12.5 hr |
Friday's blank on purpose. Protect one evening for yourself. The people who try to study every single night are often the ones who vanish around week four.
What to do in a heavy work week
Some weeks the office wins. Release week, audit week, your on-call week, the week your manager discovers he needs a deck by Friday. When that happens, shrink to the bare minimum: attend both live classes (or watch the recordings before the next Saturday) and push your weekday practice one week out.
Just don't let it run into a second week. Kubernetes assumes Docker. CI/CD assumes both. Miss two weekends back to back and the third class might as well be in Mandarin.
Which DevOps course format works best for working professionals?
For the typical salaried person, a live weekend batch that records its classes. Self-paced is fine if you already do some DevOps at work and just need to patch gaps. Weekday evening batches suit people whose day genuinely ends at six. The 6–12 month university or edtech programs are for those who want a formal credential and can afford to take their time.
| Format | Weekly time | Length | Feedback and accountability | Placement help | Best for |
|---|---|---|---|---|---|
| Self-paced (AWS Skill Builder, Udemy, KodeKloud) | Whatever you give it | Open-ended | Low: forums or a Q&A board | Usually none | People already in ops or dev roles filling specific gaps |
| Live weekend batches | 10–14 hours with practice | 8–12 weeks | High: instructor, classmates, fixed class times | Varies, so ask for the terms in writing | Most working professionals |
| Live weekday evenings | 8–12 hours | 10–16 weeks | High, but easy to miss after a long day | Varies | People with fixed 9-to-6 jobs and no late calls |
| Long programs (university or edtech) | 6–10 hours | 6–12 months | Medium to high | Often a careers team | People who want a formal credential and can wait |
Weekly times are rough typical ranges, not any one provider's figures.
My problem with self-paced, for someone with a job, is simple: nothing drags you back after a rough week. The course sits there patiently forever, and that patience is exactly what hurts you. Lots of us own an Udemy course bought on an inspired Sunday and abandoned somewhere around section three. If that sounds familiar, the extra money for a live batch is probably worth it.
Weekday evenings look convenient until you actually try them. The 7 PM standup runs over, your eyes have been on a monitor since 9:30, and the 7:30 class becomes the first casualty. Weekend mornings hold up better for most people.
On price, don't just line up the fees. Divide each fee by the number of live instructor hours. We've done that sum for our own batches on the DevOps course fees and EMI page, if you want a reference point.
What should a DevOps course for working professionals include?
Six things, really. Class times you can make. Recordings for when you can't. A syllabus that matches what job posts ask for today. Projects on an actual AWS account. Someone who answers doubts after office hours. And career help that doesn't vanish once the last class ends.
Class times that fit a job
Weekend batch, fixed IST slots, recordings uploaded within a day. Get the missed-class policy in writing before paying. Finding out after your first clash with work is too late.
A syllabus that matches job listings
Open five DevOps openings on Naukri or LinkedIn. The same tool names keep popping up, almost word for word. A course should cover at least:
- Linux and Bash scripting
- Git and GitHub
- Core AWS: EC2, S3, IAM, VPC, RDS, CloudWatch
- Docker, plus a container registry
- Kubernetes on Amazon EKS
- CI/CD using Jenkins and GitHub Actions
- Terraform
- Prometheus and Grafana
Our DevOps roadmap shows how the pieces slot together.
Projects on real AWS accounts
Browser sandbox labs are fine for week one. Past that, get onto a real AWS account. That's where you meet the annoying, educational stuff: IAM "access denied" errors, a billing alert at midnight, a load balancer failing health checks for no obvious reason.
One project covers a lot of ground. Push code to GitHub, let a pipeline build a Docker image and push it to Amazon ECR, then deploy it onto a Kubernetes cluster in Amazon EKS. Bolt on monitoring. Then break something on purpose and watch the alert fire. If you can build that and explain every step, most junior DevOps interviews turn into a conversation instead of a quiz.
Cost, because nobody mentions it until the bill arrives. New accounts on the AWS Free Tier get up to US$200 in credits, valid for up to six months. Useful, not unlimited. An Amazon EKS cluster bills US$0.10 an hour, roughly US$72 for a month you forgot about it, worker nodes not included. Good instructors drill you to tear labs down after each session. Employers notice that habit, by the way.
Doubt support after office hours
Doubts never show up during class. They show up at 10:40 on a Wednesday night when terraform apply throws an error you've never seen before. Make sure there's a Slack or WhatsApp group, and ask what a normal reply time looks like.
Career help that keeps going
Resume reviews, mock interviews, referrals. All of it should continue after the final class, because your job hunt certainly will.
How do you switch to DevOps from your current role?
Not from zero. What you do today decides what carries over, what's missing, and which first DevOps title you can realistically go for.
| Current role | What carries over | What you need to add | Realistic first role |
|---|---|---|---|
| Tester / QA | Test automation, some Jenkins, release cycles | Linux, AWS, Docker, Kubernetes, Terraform | DevOps Engineer, Build and Release Engineer |
| Support / NOC | Linux commands, monitoring, incident handling | Scripting, CI/CD, infrastructure as code, containers | Cloud Support Engineer, Junior DevOps Engineer |
| System administrator | Linux, networking, servers, backups, shell scripts | AWS, Terraform, Docker, Kubernetes, pipelines | Cloud Engineer, DevOps Engineer |
| Developer | Git, code, build tools, debugging | Linux admin, AWS networking, Kubernetes, monitoring | DevOps Engineer, Platform Engineer |
| Non-IT | Problem solving, process thinking | Everything, starting with Linux and networking | Cloud Support Engineer, Junior DevOps Engineer |
For testers and QA engineers
If you've done automation, you're in decent shape. Your Selenium or API suites probably already run inside a Jenkins or GitHub Actions pipeline that somebody else built. The missing piece is what sits underneath that pipeline: servers, containers, cloud. Start with CI/CD. You're halfway there already.
For support and NOC engineers
Good at running things, less practised at building them. You've likely handled more incidents than most developers will in their whole careers, and grep, tail and dashboards are second nature. The gap is scripting, Terraform and pipelines. Plenty of support folks go into cloud support first, then DevOps or SRE a year or two later, and there's nothing wrong with that route.
For system administrators
Shortest distance of anyone. You manage servers already. DevOps mostly asks you to manage them as code. Terraform tends to click within a couple of weeks; Kubernetes won't, so budget extra time there.
For developers
You'll learn the tools quickly, which is sort of the trap. Devs love diving straight into Kubernetes and skipping Linux networking and IAM. Interviewers spot that fast. Spend proper hours on VPCs, DNS and permissions before you get fancy.
For people from non-IT roles
Possible. Slower, though. Think 8–12 months rather than 5–6, and pick up Linux and basic networking on your own before spending money on a full course. There's a separate guide for you: switching to DevOps from a non-IT background.
Moving into DevOps inside your current company
Oddly overlooked, and often the fastest door. If your company has a DevOps or platform team, go have chai with them. Volunteer for pipeline tickets. Offer to automate that one deployment still done by hand from a 14-step Word document. Ask to shadow an on-call rotation. Check the internal job portal every week or so. Moving internally skips the notice period, and it skips the "minimum 2 years DevOps" filter that outside applicants run into.
One caveat. A course gives you skills, projects and interview practice. It does not set your salary. What you can show and explain across the table does.
How long does it take to become job-ready while working?
Five to six months for most people with a job. Ten weeks of class, then two or three months of projects, interviews and, if you want one, a certification. Your notice period sits on top.
| Month | Focus |
|---|---|
| 1–2 | Linux, Git, AWS basics, Docker |
| 3 | Kubernetes on Amazon EKS, CI/CD pipelines, Terraform |
| 4 | Capstone project, a tidy GitHub profile, resume and LinkedIn rewrite |
| 5–6 | Applications, mock interviews, real interviews, and a certification exam if you want one |
Freshers usually race through the learning part because they've got more free hours. People with jobs usually do better in the interview itself, since they can talk about real outages and real teams. Over six months it roughly balances out.
What stretches the timeline most? Two things. First, applying late. Start sending applications in month 4, even though you won't feel ready (nobody ever does), because your first three interviews will teach you things no course covers. Our DevOps interview questions guide helps with prep. Second, the notice period. Check the exact number in your offer letter instead of guessing, and factor it in before you tell a recruiter when you can join.
Is a DevOps course worth it if you already have a job?
Yes, if the roles you want list cloud, Kubernetes and CI/CD, and you can guard 12–14 hours a week for ten weeks. Not yet, if that time simply isn't there right now or you mostly want a certificate to post on LinkedIn.
It tends to pay off for people whose current role has flatlined while DevOps openings in their city or company sit a band higher. It also pays off for people who've tried to self-study twice, maybe three times, and stalled each time. You'll enjoy it more if you like fixing broken things and automating boring ones. And it goes a lot smoother when the family knows weekends are booked till the batch ends.
Sometimes waiting is smarter. Big migration or year-end audit coming up at work? Join the batch after it. Already in DevOps and only after one certification? A self-paced exam prep course costs a fraction. And if the main reason you're enrolling is that a counsellor promised you a job, pause. No honest institute can promise that.
Got 8+ years of experience? Then you're not chasing a junior DevOps title. You want a role that respects the years you've put in, so a longer, deeper program fits better — our Expert DevOps Course is built for exactly that. Our article on switching to DevOps after 30 covers how experienced people pitch themselves.
What salary can you expect after switching to DevOps?
Per Indeed India, a DevOps Engineer in India earns an average base of about ₹7.8 lakh a year. That's from 274 reported salaries, as of September 2026. Senior DevOps Engineers average roughly ₹13 lakh.
City matters more than people expect:
| City | Average base salary, DevOps Engineer (Indeed, Sept 2026) |
|---|---|
| Gurgaon | ₹10.7 lakh |
| Kochi | ₹9.4 lakh |
| Bengaluru | ₹8.7 lakh |
| Noida | ₹8.4 lakh |
| Pune | ₹8.1 lakh |
| All India | ₹7.8 lakh |
These averages lump everyone together, first-year engineers alongside people five or six years in. Use them as a rough market range. Not a promise. How we calculate figures.
Now the bit experienced switchers really want to know. Say you've done six years in testing or support and you move into DevOps. Those years count, just not fully. A company might put you above a fresher but below someone with six genuine years of DevOps. Some people take a flat move, occasionally a small cut, for the first DevOps role and then climb fast. Others, internal movers especially, keep their existing band. Whichever way it goes, the offer gets shaped by your interviews and by projects you can walk an interviewer through. The course certificate barely matters.
We've broken salaries down by experience and company type in our guide to DevOps engineer salary in India.
Which certification should you take first?
None, strictly speaking. You can get hired without one. If you want one anyway, the usual order for working professionals is AWS Certified Solutions Architect — Associate first, then the Certified Kubernetes Administrator (CKA) if you're targeting Kubernetes-heavy roles, and AWS Certified DevOps Engineer — Professional (DOP-C02) only after about two years of real AWS work.
| Certification | Exam fee | Format | Recommended experience | Valid for |
|---|---|---|---|---|
| AWS Certified Solutions Architect — Associate (SAA-C03) | US$150 | 130 minutes, 65 questions | 1+ year designing on AWS | 3 years |
| Certified Kubernetes Administrator (CKA) | US$445 | 2 hours of hands-on tasks in a live terminal, one retake included | None | 2 years |
| AWS Certified DevOps Engineer — Professional (DOP-C02) | US$300 | 180 minutes, 75 questions | 2+ years on AWS | 3 years |
Fees and formats as listed on the official exam pages in October 2026.
Why this order? SAA-C03 makes you genuinely understand VPCs, IAM and how AWS services talk to each other, and interviewers poke at exactly those. The CKA happens in a live terminal, so passing it proves you can work inside a cluster, not just recognise the right option out of four. DOP-C02 is a Professional-level exam built for people with on-the-job experience. Attempt it two months into learning and you'll most likely throw away US$300.
Exam fees aren't usually part of course fees (ours included). Unsure whether a certification is worth it for you? Read which DevOps certification is worth it.
What should you ask before you join?
Start with two. What happens when work makes me miss a class? And can I speak to a past student who did this while working full-time? Those answers reveal more than any brochure. Then go through the rest:
- What are the class timings in IST? Fixed days, fixed times, same every week.
- What if I miss a class? Recording up within a day, and somewhere to ask doubts about it.
- How long do the recordings stay available? You want a clear answer. Lifetime is ideal; a year is okay.
- How many hours a week should I plan for, total? If they only mention class hours, ask again.
- Who teaches, and what have they actually run in production? You should be able to find the instructor on LinkedIn and see real DevOps jobs there.
- Real AWS accounts? Who pays? Real ones, along with tips for staying inside the free credits.
- When can I ask doubts? Evenings and weekends, ideally with a typical reply time.
- What does placement help include, in writing? A list of services and how long they run. If you hear "guaranteed job", leave.
- Can I pause or shift to a later batch if work explodes? There should be a written transfer policy.
- Batch size? Small enough that the instructor knows your name. Somewhere around 10–20.
How does SwitchtoDevOps' course work for working professionals?
SwitchtoDevOps' Professional DevOps Course is live on Zoom every Saturday and Sunday, 3 hours a day, across 10 weeks, with a cap of 15 learners per batch. All classes get recorded. You get placement assistance. You don't get a job guarantee, because we don't think anyone can honestly offer one.
| What | Details |
|---|---|
| Course | Professional DevOps Course |
| Fee | ₹35,000, or 3 monthly instalments of about ₹11,667 with no interest |
| Length | 10 weeks, 60 live hours |
| Schedule | Saturday and Sunday, 3 hours each, live on Zoom, recorded |
| Weekly time to plan for | About 12–14 hours, including practice |
| Batch size | Up to 15 |
| Projects | 5, deployed on AWS, including a capstone |
| Placement | Resume help, mock interviews and referrals where available. No job guarantee |
| Not included | Certification exam fees and AWS charges beyond the free credits |
Fees and EMI are explained on the DevOps course fees and EMI page. What our placement assistance covers, and how we count placements, has its own page too.
Who shouldn't join? Existing DevOps engineers who only need exam prep, mainly. Also anyone who can't keep weekends free for the next ten weeks. Wait a bit, or pick something cheaper.
If it sounds like your kind of setup, the full syllabus and the next batch date are on our DevOps certification course page.
Try a weekend class before you decide
Still unsure whether this fits around your job? Sit in on a class and see. The free demo runs 45 minutes on a weekend. Watch how a live session works, grill the instructor about schedules and workload, then decide. You won't be asked to pay anything.
Sources
- Indeed India: DevOps Engineer salaries (updated 27 September 2026)
- AWS Certified Solutions Architect — Associate
- AWS Certified DevOps Engineer — Professional
- Linux Foundation: Certified Kubernetes Administrator
- AWS Free Tier
- Amazon EKS pricing
- AWS Skill Builder
All checked 21 October 2026.
