Claude Skill
VersusControl/devops-ai-guidelines
Explore a comprehensive DevOps AI journey with learning paths, practical tips, and enterprise guidelines. Covers Go, AWS, prompt engineering, agentic AI, and MCP for DevOps.
Overview
Repository
Install this Skill
git clone https://github.com/VersusControl/devops-ai-guidelines.gitRegistry
Summary
A comprehensive DevOps AI journey covering learning paths, practical tips, and enterprise guidelines. This repository provides a structured roadmap for integrating AI into DevOps workflows, with hands-on examples in Go and AWS, and guidance on prompt engineering, agentic AI, and MCP.
DevOps 的首次 AI 之旅——涵盖全面学习路径、实用技巧与企业指南
Key features
- Structured learning paths for DevOps AI adoption
- Practical tips for prompt engineering and agentic AI
- Enterprise guidelines for AI integration in DevOps
- Hands-on examples using Go, AWS, and LangChain
- Roadmap covering cloud, copilot, and MCP topics
Use cases
- Learning how to integrate AI agents into CI/CD pipelines
- Applying prompt engineering to automate DevOps tasks
- Building AI-powered cloud operations on AWS
- Using MCP for model context in DevOps workflows
- Creating enterprise DevOps AI roadmaps
README excerpt
# DevOps AI Guidelines & Learning Path [](https://opensource.org/licenses/MIT) [](https://github.com/VersusControl/devops-ai-guidelines) > **Your complete journey from DevOps Engineer to AI Infrastructure Architect - with comprehensive learning paths, practical tips, and enterprise guidelines** ## Overview This repository provides everything you need to master AI in DevOps - from your first AI tool to becoming an AI Infrastructure Architect. Whether you're starting your AI journey, implementing AI in your team, or leading enterprise AI adoption, we've got comprehensive resources and proven frameworks to guide your success. ### What You'll Find Here - **Complete learning roadmap** from DevOps to AI Infrastructure Architect - **Structured tutorials** for AI fundamentals and advanced techniques - **Enterprise AI frameworks** for safe team implementation - **Career acceleration** strategies and interview preparation - **Daily productivity** tips and automation workflows - **Cloud optimization** using AI tools and techniques ## Repository Contents ### AI Learning Path for DevOps **Complete 18-month journey from DevOps Engineer to AI Infrastructure Architect** | Document | Description | Status | | ------------------------------------------------------------------------- | ----------------------------------------------------------------- | ------------ | | [**AI Roadmap Overview**](./01-ai-roadmap-for-devops/01-roadmap.md) | Complete visual learning path with 3 pha