1The Engine
DevOps (DevSecOps, AIOps, LLMOps)
DevOps Engineer
Containers, clusters and infrastructure as code — plus the security and AI-ops practices modern teams expect.
- Docker
- Kubernetes
- CI/CD
- IaC
- DevSecOps
- AIOps
Two stages of core craft — the delivery loop itself, then the Python that automates it — before the road forks into the cloud you'll practise it on: AWS or Azure.
one road, two branches
at a working pace
full progression
The road
Every stage is taught live by a working engineer — and every stage assumes only the one before it.
1The Engine
DevOps Engineer
Containers, clusters and infrastructure as code — plus the security and AI-ops practices modern teams expect.
Why this stage
“Build the pipeline, break it, then secure it — the job is the loop, not the tools.”
2The Glue
Automation Engineer
Syntax to scripts that do real work — files, APIs, data and the automation you'll reuse at your desk.
Why this stage
“Pipelines are code. The engineers who automate the automation get promoted first.”
The road forks — pick a side
Practise the loop on AWS
The Cloud Track
Senior DevOps Engineer (AWS)
Provision, operate and automate on AWS at professional level — delivery pipelines, monitoring and incident response.
Destination
Senior DevOps Engineer (AWS)
Practise the loop on Azure
The Cloud Track
Senior DevOps Engineer (Azure)
Design and implement DevOps practices on Azure — pipelines, artifacts, testing and release strategy.
Destination
Senior DevOps Engineer (Azure)
Either cloud completes the same skill set — and the loop you learned transfers to both.
The road is mapped and the first batch is live. Take the first step — or talk to us and find out which stage you're already standing on.
Your roadmap
6–9 monthsDevOps
The Engine · 3–4 months
Python
The Glue · 2–3 months
Amazon AWS
AWS DevOps Pro
The Cloud Track · 2–3 months
Microsoft Azure
AZ-400
The Cloud Track · 2–3 months
Senior DevOps Engineer (AWS) / Senior DevOps Engineer (Azure)
where this road ends