I'm trying to build a solid path toward learning DevOps and eventually becoming proficient. I've watched some TechWorld with Nana content and looked at courses such as Imran Teli's Udemy course, and the advice to start with the basics makes sense. What learning path would you recommend? Which courses or resources are genuinely useful, what mistakes should beginners avoid, and how much should I focus on hands-on projects versus structured lessons?
4 Answers
A strong foundation would be Linux first, followed by networking. After that, learn one cloud platform—AWS is a common choice—and then move through tools such as Terraform, GitHub Actions, Ansible, Docker, and Kubernetes. The exact order matters less than practicing each one with small projects. Don’t assume every company uses the same stack; focus on transferable concepts rather than memorizing one toolset.
Hands-on work is the most important part. Most of these technologies have free tiers or free local versions, so create small projects and deliberately break them, troubleshoot them, and improve them. You could begin with a simple application, containerize it, deploy it, add a CI pipeline, and then introduce infrastructure as code and monitoring. Keep notes about what you tried and why you changed it. That reflection is where a lot of the learning happens.
Exactly. Courses are useful for structure, but they won’t make you proficient by themselves. Building and repeatedly improving projects is what turns the concepts into practical skill.
You probably won’t master DevOps through a single course. Courses can teach tools, but practical experience is what develops the judgment to know how systems fit together. Start with Linux and Docker fundamentals, then choose one realistic application and learn how it works. Try deploying it as if it were a production service, using containers, a Kubernetes distribution, infrastructure automation, monitoring, and logging. This approach will naturally produce questions and teach you much more than passively watching videos. Take your time and investigate the details instead of rushing through a checklist.
Try to solve lots of real problems instead of collecting certificates or jumping between tutorials. Over time, you’ll become better at deciding whether a problem calls for a script, a pipeline, a container, infrastructure automation, or something else. A useful beginner plan is to learn the basics, build one project end to end, and research each gap as it appears. Avoid relying on automation tools or AI to generate everything for you; use them to understand concepts, then write and troubleshoot the solution yourself.
I’d be careful about defining DevOps as just a collection of tools. The tools are useful, but collaboration, automation, delivery practices, reliability, and feedback loops are just as important. Learn the purpose behind each tool rather than treating the tools as the whole discipline.