How to Choose a DevOps Course in Nepal

To choose a DevOps course in Nepal, check five things before you pay. Read the syllabus week by week and make sure it covers Linux, Git, Docker, CI/CD and one cloud properly. Find out how much of each class is spent typing commands on real servers, and how much is slides. Ask what you will have built by the end, and whether you can rebuild it from code. Check what the course expects you to know before Day 1. And ask how big the batch is and who teaches. If a course answers all five clearly, take a closer look. If it dodges two or three of them, keep looking.

DevOps is the work of getting software from a developer's laptop onto servers, and keeping it running there. If that is new to you, start with our post on what a DevOps engineer does, then come back. The checks below work on any DevOps training in Nepal. At the end we put our own course through the same list.

What a DevOps course should actually cover

A syllabus that only lists tool names tells you very little. Ask for it week by week. A serious DevOps course covers these, roughly in this order:

1. Linux and the terminal. Files, users, permissions, processes, services, logs and SSH. Almost every server you will touch at work runs Linux, so this comes first and needs more than a day or two.
2. Networking basics. IP addresses, ports, DNS, HTTP and HTTPS. When a site goes down, half the job is working out whether it is DNS, a port, a firewall or the app.
3. Scripting. Bash for small jobs, and ideally some Python for jobs that outgrow Bash.
4. Git and GitHub. Branches, pull requests and merge conflicts. Almost every pipeline starts from a Git push.
5. Docker. Writing a Dockerfile, building small images, and running an app with its database using Docker Compose.
6. CI/CD, short for continuous integration and continuous delivery. A pipeline that tests, builds and deploys your code on every push, in a tool like GitHub Actions, GitLab CI or Jenkins.
7. One cloud, in depth. AWS, Azure or Google Cloud: accounts, permissions, servers, storage, private networks and a database, plus how to keep the bill near zero while you learn.
8. Infrastructure as code. Terraform, or its open source fork OpenTofu, to create servers from files you can review, and to delete them cleanly.
9. Monitoring. Logs, metrics and alerts, for example with Prometheus and Grafana, so you know something broke before a user tells you.

Kubernetes is often the headline on the poster. It is worth learning, but it sits on top of everything above. A course that jumps into Kubernetes before you are at ease with Linux, networking and Docker is building the roof first. Check the order of topics as carefully as the list.

One cloud properly, or three on the surface

Some courses promise AWS, Azure and Google Cloud in a few weeks. The ideas carry across, since every cloud has servers, storage, private networks, permissions and managed databases. Learn them properly on one cloud and the second one is mostly new names for things you already know. AWS is a common first pick. Ask which cloud the course goes deep in, and how many weeks it gets. If AWS on its own is what you want, see our AWS training in Nepal page.

Signs a DevOps course is mostly slides

DevOps is learned at a terminal. You type a command, it fails, you read the error and you fix it. A course that is mostly slides can't give you that. Watch for these signs:

• The syllabus lists tools but no labs, drills or things you build.
• The trainer runs the demo on their own machine and students watch.
• Nobody tells you what to set up on your laptop, like a Linux virtual machine or Docker. If you never install anything, you never run anything.
• There is no plan for cloud accounts. Real cloud practice needs an account you control, set up safely, with billing alerts. A course that skips this is either avoiding the cloud or hoping you won't ask.
• Nothing ever breaks on purpose. Fixing a broken server, a failing pipeline or a crashing container is most of the job. Good courses break things in class so you learn to fix them calmly.
• The certificate is the main thing they sell. A certificate shows you finished. It doesn't show you can fix a server.

Ask to sit in on one class, or ask what students typed in the last session. The answer tells you a lot, quickly.

What you should be able to build by the end

By the end of a good DevOps course you should be able to show a small working setup, not just describe one. Something like this:

• A Linux server you set up and locked down yourself, with your own users, key-only SSH, a firewall and HTTPS on a real domain.
• A real app in a Docker container, running with its database through Docker Compose.
• A pipeline that runs tests and builds the image on every pull request, then deploys it.
• The cloud setup written in Terraform, so you can delete all of it and build it again from the code.
• A dashboard and at least one alert that tells you when the app is down.
• A README that someone else could follow to rebuild the whole thing.

Keep all of it on your own GitHub. In an interview, walking through your setup and explaining why you made each choice counts for far more than a long list of tools on a CV. If the course ends with you watching the trainer build this, you leave with nothing to show.

Do you need coding or Linux first?

Less than people fear, but more than nothing. Most DevOps courses don't expect you to be a developer, and you won't be writing apps from scratch. You will read code, write scripts and fix config files, so you need patience with small details.

What helps before Day 1:

• Comfort with a computer: installing software, following setup steps and finding files.
• A laptop that can run a Linux virtual machine and Docker. 8GB of RAM is a sensible minimum.
• Some time in a terminal. If you have never opened one, spend a week on the basics. Our post on Linux commands every beginner should learn first is a good place to start.
• An hour or two a day to practise between classes.

If a course says no Linux is needed, ask where in the syllabus Linux is taught and for how long. If Linux is your weak spot and you want more time on it, a Linux course first is a fair choice. If you already write code, you start with an advantage, because you understand what is being deployed.

Online or in a class in Kathmandu

Both can work. What matters is what happens when you get stuck. DevOps errors often live on your own machine: a virtual machine that won't start, a Docker install that fails on Windows, an SSH key in the wrong folder. In a classroom, a mentor looks at your screen and finds it in two minutes. Online, it depends on the course.

• Are the online classes live, or recordings?
• Can the mentor see your screen when you are stuck?
• Do online students get the same review of their work as the people in the room?
• What is the maximum batch size? An average is no use to you.

Recorded courses are cheaper and easy to start, but nobody checks your work and many people stop partway. If you live outside Kathmandu or work full time, a live online seat with real feedback can work well. If you can reach a classroom, the first weeks of setup usually go faster in person.

Questions to ask before you pay

People often search for the best DevOps training in Kathmandu, but there isn't one that suits everyone. The right course for you is the one that answers these clearly. Take the list with you when you visit or call, and write down each answer.

1. Can I see the full syllabus, week by week?
2. Does it cover Linux, networking, scripting, Git, Docker, CI/CD, one cloud, Terraform and monitoring, roughly in that order?
3. How much of each class is hands-on, and what do students build each week?
4. Which cloud do you teach, and whose account do the labs run in? How do you stop a surprise bill?
5. What will I have built by the end, and can I rebuild it from code?
6. What do I need to know before Day 1, and what laptop do I need?
7. What is the maximum batch size, in the room and online?
8. Who teaches, and do they work on real infrastructure?
9. How am I assessed at the end?
10. Does the course prepare me for a certification, and is the exam fee included?
11. What exactly does the career support include, and do you promise a job?

The right answer to the last one is no. No institute controls who gets hired. Good job help gets you ready and opens a few doors, and the employer still makes the call.

A note on certifications

AWS Certified Cloud Practitioner (exam code CLF-C02) is the usual first AWS exam. It checks that you understand what the cloud is and what the main AWS services do, but it doesn't test whether you can run a server. The Certified Kubernetes Administrator (CKA) exam is different, since you solve tasks at a live command line. Exam fees are paid to AWS or the Linux Foundation, so ask whether a course fee covers them. Our guide on which AWS certification to take first goes into more detail.

How our Cloud Computing and DevOps course measures up

Here is how our own Cloud Computing and DevOps course answers the list, going by what the course page states.

• The course runs 10 weeks, Monday to Friday, 2 hours a day, about 100 hours of live class. Plan on 2 more hours of practice at home every class day. Sunday is an open classroom for enrolled students, from 11 AM to 4 PM.
• The first four weeks are foundation: Linux and the terminal, then Linux admin with Bash, Python and Git, then how the internet works with Nginx and HTTPS, then AWS. Docker, GitHub Actions, and Terraform with Ansible come in Weeks 5 to 7. Kubernetes with Helm and Argo CD, then Prometheus, Grafana and incident response, come in Weeks 8 and 9. Jenkins is read side by side with GitHub Actions, and there is a short look at Azure.
• Labs run on your own laptop and your own AWS account on the Free plan, set up with MFA and budget alarms in the first AWS week. Sign-up needs a card, and a dollar prepaid card from a Nepali bank works.
• Things break on purpose. There is a CrashLoopBackOff drill in Kubernetes, where a container keeps crashing and you find out why, and a timed incident drill with a written postmortem.
• In Week 10 you rebuild your capstone from one README, then tear it down with terraform destroy. You present it to a panel with a fault injected live for you to find and fix.
• A batch has 10 seats in our Old Baneshwor classroom and up to 5 online.
• No Linux background is needed. You do need strong computer fluency and a laptop with 8GB of RAM or more. A short diagnostic before Day 1, with no pass or fail, shows the mentor where you start.
• You are assessed with a proctored certification exam and a capstone review, and you get the certificate of completion when you pass both.
• The course prepares you for AWS Cloud Practitioner (CLF-C02). The exam fee is paid separately to AWS.
• Career support covers a CV and LinkedIn review and a 1:1 mock troubleshooting interview. We do not guarantee placements.

The full week-by-week plan and the syllabus PDF are on the DevOps course page. Whichever course you choose, take the same list with you. The right one answers every question clearly.