You Build Your Cloud

From Zero to Platform Engineer

Go from beginner to a mid-level systems, platform, or DevOps engineer in 6–12 months. No tutorial hell. No fluff. A real path, with a real community behind you.

Built and led by a senior engineer with 27 years in the trenches: banks, governments, telcos, hosting providers, and ISPs. The path we wish we'd had when we started.

What you'll become

• Career-ready: leave with a fully engineered homelab as your portfolio. Real infrastructure, real automation, real architecture you can walk a hiring manager through.
• Confident: hold your ground in design discussions, ask the right questions, and defend your choices.
• A systems thinker: debug calmly, see the whole architecture, and know why the pieces fit.
• Connected: the people you learn with become future colleagues, collaborators, and references.

What's inside

• Foundations: Linux, networking, storage, virtualisation.
• The Protocols: HTTP, TLS, DNS, SMTP, actually understood.
• The Homelab: design and build your own production-grade environment from the ground up. The project that becomes your portfolio.
• Infrastructure as Code: Terraform and Ansible, done right.
• Pipelines: CI/CD that's automated, reliable, and boring (in the best way).
• The Cloud Choice: AWS, Azure, Hetzner, DigitalOcean. Pick the right one, not the biggest.
• Production-Grade: Docker, Kubernetes, and patterns that hold up at 3 AM.
• AI-Ready Infrastructure: run your own models, GPU workloads, and AI pipelines. Use AI as a force multiplier in your daily engineering, without surrendering your data.
• Security First: built in from day one, not bolted on later.

How we think

We're not anti-cloud, but we're anti-default. Cloud, hybrid, or self-hosted should be a deliberate choice. Self-hosting is a superpower when privacy and data sovereignty matter, and that now includes AI. The homelab you build with us proves you can run real production infrastructure, including your own models, on hardware you control.

Most courses teach a tool. We teach you to engineer systems, including when not to reach for Kubernetes, and when not to ship your data off to someone else's LLM. And we do it together: ask, share, get unstuck, help someone else get unstuck. That's the part no YouTube playlist can give you.

If you're ready to stop stitching tutorials together and start thinking like an engineer, join us.