Anyone else tired of “learn DevOps” content that never teaches real DevOps?
I’ll be blunt.
A lot of DevOps learning content is garbage.
It teaches tools in isolation:
- Docker course
- Kubernetes course
- Jenkins course
- Linux course
But real work is never “learn one tool.”
Real work is:
- CI pipeline failed at 2 AM
- Container works locally, breaks in prod
- Bad YAML deploy blocked release
- Logs missing during incident
- Infra drift nobody noticed
- Manual process slowing every sprint
That’s where most learners get exposed.
Now AI is making it more interesting.
AI can generate scripts, troubleshoot configs, explain errors, even speed up pipelines. But if someone doesn’t understand systems first, AI just helps them fail faster.
That gap is why we started building an AI-Powered DevOps hands-on program.
Focus is simple:
- Linux + scripting fundamentals
- Git + CI/CD workflows
- Docker + Kubernetes
- Cloud deployments
- Monitoring / observability
- Using AI tools in real DevOps workflows
- End-to-end projects instead of random tutorials
We launched it on Kickstarter to fund labs, cloud environments, and continuous updates.
Would genuinely like feedback from this sub:
What’s the biggest gap in most DevOps training today?