devops-ai-guidelines

Why we included this project

This is a study curriculum, not a tool, aimed at DevOps engineers who want a guided route into AI work instead of stitching together scattered tutorials. The centerpiece is an 18-month roadmap that runs from a DevOps baseline to an AI Infrastructure Architect role, organized in three phases so you can start at the level that fits you. The tutorials are hands-on rather than theory-heavy: you build MCP servers in Go and Kubernetes, wire an AI agent with LangChain, and set up a monitoring agent that learns what normal looks like for your systems. Team leads get a framework for rolling AI out safely, and individual engineers get interview prep plus daily productivity tips and automation workflows they can use right away. For someone deciding where to invest time, the project-based guides make this a better starting point than diving into tool-specific documentation.