How to Learn DevOps From Scratch in Nigeria: A Step-by-Step Roadmap

Learning DevOps from scratch in Nigeria does not start with Docker or Kubernetes. It starts with the basics.

A practical DevOps learning path moves through eight stages: Linux, Git and version control, programming, networking, cloud, containers, infrastructure as code, and CI/CD. Skipping the early stages and jumping straight into advanced tools can make DevOps harder to understand and harder to apply.

This guide breaks down what to learn at each stage, how long each one can realistically take, and what to build along the way so you finish with a portfolio of practical projects. It also covers DevOps roles and salaries in Nigeria and shows how a structured course can fit into the same learning path.

What Is DevOps, and What Does the Job Involve?

DevOps brings software development and IT operations together so changes reach users faster and more reliably. The standard academic definition calls it “a set of practices intended to reduce the time between committing a change to a system and the change being placed into normal production, while ensuring high quality.”

The discipline got its name in 2009, when Belgian consultant Patrick Debois organised the first DevOps Days conference in Ghent. The first State of DevOps report followed in 2012, and the DORA framework for measuring delivery performance arrived in 2016.

Three principles run through it: shared ownership, workflow automation and rapid feedback. As the literature puts it, “at its most successful, DevOps is a combination of specific practices, culture change, and tools.”

In practice the job is building the systems that get code from a developer’s laptop into production safely, repeatedly and without someone doing it by hand at 2am.

Related reading: what is cloud DevOps.

Why Does the Order Matter So Much?

Because DevOps tools sit on top of each other, and skipping a layer means you can copy commands but cannot diagnose failures.

Kubernetes assumes you understand containers. Containers assume you understand Linux. Infrastructure as code assumes you understand the cloud resources it creates. Pipelines assume you understand version control.

The most common failure pattern in Nigeria, and everywhere, is starting with Kubernetes because that is what job adverts mention. People spend months on it, produce nothing that works, and conclude DevOps is beyond them. It was the sequence, not the ability.

What Are the Eight Stages, in Order?

Stage 1: Linux fundamentals

Roughly 3 to 4 weeks

Almost all cloud servers run Linux. Learn the file system, permissions, processes, package management and the command line properly.

Build: set up a Linux virtual machine and run it entirely from the terminal for a week.

Stage 2: Git and version control

Roughly 2 weeks

Git underpins everything else. Branching, merging, pull requests, resolving conflicts.

Build: put a small project on GitHub and work in branches from the start.

Stage 3: One programming language

Roughly 4 to 6 weeks

Python is the usual choice. You are not becoming a software developer. You need enough to automate tasks and read other people’s scripts.

Build: write a script that does something repetitive for you.

Stage 4: Networking fundamentals

Roughly 2 to 3 weeks

DNS, HTTP, IP addressing, ports, firewalls, load balancing. This stage is the one most self-taught learners skip, and it is why their cloud deployments break in ways they cannot explain.

Build: trace exactly what happens when you type a URL and press enter.

Stage 5: One cloud platform

Roughly 6 to 8 weeks

AWS, Azure or Google Cloud. Pick one. Learn compute, storage, networking, identity and billing. Use the free tier.

Build: deploy a working web application on cloud infrastructure you configured yourself.

Related reading: how to learn cloud computing and fundamentals of cloud computing.

Stage 6: Containers

Roughly 4 to 6 weeks

Docker first, then Kubernetes. Images, containers, registries, then orchestration.

Build: containerise the application from stage five and run it on a cluster.

Stage 7: Infrastructure as code

Roughly 4 weeks

Terraform or Ansible. Defining infrastructure in version-controlled files rather than clicking through a console.

Build: rebuild your entire stage five setup from a Terraform file, then destroy and recreate it.

Stage 8: CI/CD pipelines

Roughly 4 weeks

The core of the discipline. The literature is direct that “CI/CD is as critical to DevOps success as automation.” Jenkins and cloud-native tools such as AWS CodePipeline are common starting points.

Build: a pipeline that tests, builds and deploys automatically when you push to your repository.

How Long Does the Whole Thing Take?

Around seven to nine months of consistent part-time study if you follow the sequence, and longer if you skip around and have to backtrack.

Two honest caveats.

You will not be employable at stage four. The useful threshold is somewhere after stage six, and stages seven and eight are what distinguish a DevOps candidate from a cloud beginner.

The portfolio is the point. If you complete all eight stages and have nothing to show, you have learned DevOps and cannot prove it. Build something real at every stage.

What Does DevOps Pay in Nigeria?

According to Paylab’s Nigeria salary survey, covering the middle 80% of earners in monthly gross terms:

Role	Monthly range (NGN)
DevOps Engineer	206,338 to 1,069,243
Cloud Engineer	214,913 to 852,472
Site Reliability Engineer	261,171 to 1,010,418
Solution Architect	299,631 to 1,203,898

DevOps sits among the higher-paying technical roles in Nigeria, above data science at the upper end. Two reasons: the skills take longer to acquire, and fewer people complete the path.

There is also the remote route. Nothing in the stack changes between Lagos and London, which is why Nigerian DevOps engineers are hired remotely by international employers, typically well above local bands.

Related reading: digital skills that pay in Nigeria and how to become a cloud engineer in Nigeria.

Should You Self-Teach or Take a Course?

Both work. The honest question is which one you will finish.

Self-teaching costs almost nothing beyond time. Documentation is free, free tiers are generous, and the communities are active. It requires sustained discipline across eight stages and several months, and most people who start do not finish.

Structured training costs money and provides sequence, an instructor when you are stuck, and a deadline. If you have already abandoned a self-paced attempt, that is useful information about which you need.

To show how a structured programme maps onto the roadmap, here is how the six-month DevOps and Cloud Computing with AI course at Digital Regenesys covers each stage:

Roadmap stage	Where the course covers it
1. Linux fundamentals	Not taught as a separate module. Learn the basics yourself before or alongside the course
2. Git and version control	Intermediate level: Git and version control, then GitHub
3. A programming language	Intermediate level: five sessions of Python programming
4. Networking fundamentals	Introductory level, in a cloud context: AWS networking and load balancing, plus VPCs
5. One cloud platform	Introductory level, in depth: AWS compute, storage, IAM, networking and RDS, then the fundamentals of Azure and Google Cloud
6. Containers	Intermediate level: Docker and Kubernetes, with a hands-on containerisation and orchestration lab
7. Infrastructure as code	Intermediate level: Terraform and Ansible, each with its own hands-on lab
8. CI/CD pipelines	Intermediate level: CI/CD with Jenkins and AWS CodePipeline, with a hands-on pipeline lab

Two differences from the roadmap are worth knowing.

The course teaches cloud before DevOps tooling. Its introductory level is entirely cloud foundations, and Git, Python and pipelines follow at intermediate level. Both orders work. Learning the cloud first means you understand what your pipelines are deploying to before you build them.

It goes further than stage eight. The advanced level moves into AI and machine learning on the cloud: model deployment and management, ML modelling on AWS, generative AI, and AI coding assistants. That is where DevOps is heading, and most self-taught roadmaps stop before it.

The course ends in three capstone project sessions, which answers the portfolio problem described earlier: you finish with real work to show, not only a certificate. It is IITPSA-accredited with 30 CPD points, runs as weekly live classes, and includes three years of access to recordings and materials.

A certification is worth considering once the foundations are solid. An AWS cloud computing certification is widely recognised, though it tests knowledge rather than teaching it. Learn first, certify second.

Conclusion

DevOps is learnable from zero in Nigeria, and the main obstacle is sequence rather than difficulty.

Three things to take away:

• Do not start with Kubernetes. Start with Linux. Almost every stalled attempt begins by skipping the foundations.
• Build something at every stage. Eight completed stages with no portfolio is an unprovable claim.
• The skills are identical worldwide, which makes DevOps one of the strongest routes from a Nigerian starting point into international remote work.

For the wider picture, see high-income skills in Nigeria and the cloud computing careers guide.