Every developer today can prompt AI to build features. Almost none understand the Linux, Docker, Traefik and architecture decisions that determine whether those features survive or collapse. Go from AI user to systems engineer.
You can build screens and call APIs, but the server side is still a black box. This workshop opens it up - how an application actually runs on a Linux server, talks to a database, and reaches users through a gateway.
You use AI to write code, but you're tired of copy-pasting and want to truly understand how systems are designed. You'll see how AI services plug into a real architecture - next to the applications, databases, gateways and containers around them.
You've done the tutorials. You can build apps. But when something breaks in production, or an
interviewer asks "how would you design this system?" - you freeze.
Any developer can now prompt their way to a working feature. This skill is being commoditised fast. AI code is cheap - systems thinking is not.
Knowing why to use Linux, how Traefik routes traffic, where Docker fits, and how to wire AI into a real system - that's what separates engineers in 2026.
Not just "use terminal commands." You understand why Linux is the foundation of every production system, what the file system means, and how to move through it with confidence.
Application → Database → Traefik → User. You'll see every handoff point - so when something breaks, you'll know exactly where to look.
You'll stop copy-pasting Docker commands and start understanding containers as isolated system environments - when to use them and why they exist.
How to integrate AI services into a real system architecture - not just as a feature, but as a component with its own infrastructure requirements.
From code commit to live server, you'll have a mental model of the complete engineering pipeline. System design interview questions will have answers.
"Walk me through how you'd architect this" - you'll have a real answer backed by a real system. Not theory. Not YouTube knowledge. Real.
Modern systems are multiple components working together:
This is system architecture.
Why Linux runs every production server. File system structure, permissions, processes, and the tools every engineer must know.
How your app and database actually communicate - connection pooling, query routing, and building a live app + DB stack from scratch.
Why Docker exists, what a container actually is, and how Docker Compose wires multiple services together - containerising the stack you built and finally understanding every Dockerfile command.
A reverse proxy, load balancer and SSL terminator. Configure Traefik to route real traffic to your app, understand virtual hosts, and see exactly what happens when a request arrives.
AI is not magic - it's an API call with infrastructure requirements. Integrate an LLM API into the system you built: latency, rate limits, caching, and AI features that don't kill your system under load.
A final walkthrough of the complete system built across the sessions - the architecture diagram, and how to explain it in interviews.
16,000+ students trained across cohorts and workshops. This curriculum was built from the ground up to address the exact gap AI has created - developers who can prompt, but can't architect. Founder of Selfmade Ninja Labs, the cloud Linux and Docker environment you practise on.
Not generic praise. Specific transformations from developers who took previous workshop.
No upsells. No hidden fees. Everything you need to go from AI user to systems engineer.
Basic programming knowledge is helpful but not required. The workshop focuses on systems thinking and infrastructure - not writing code. If you can read and understand simple scripts and configurations, you're ready.
Yes. The workshop takes you from zero systems knowledge to a solid mental model. Every concept is explained from first principles before it is built on.
Right after payment you get the complete recorded workshop - both days, about 8 hours - on the Selfmade Ninja Academy dashboard. Watch instantly, at your own pace, as many times as you like.
Linux (Ubuntu), Docker, Traefik, PostgreSQL and a real LLM API. All tools are free or have free tiers, and Selfmade Ninja Labs gives you a cloud Linux environment to practise on.
You'll get a confirmation email with your access details. Sign in and start watching whenever you're ready - the recordings and labs are available anytime.