by VersusControl · MCP Server · ★ 972
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
DevOps AI Guidelines & Learning Path 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 Description
| Stars | 972 |
| Forks | 260 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.672/100 |
| Last Updated | 2026-04-14 |
| Created | 2025-07-20 |
| Platforms | aws, browser, go, mcp |
| Est. Tokens | ~499k |
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devops-ai-guidelines is First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines. It is categorized as a MCP Server with 972 GitHub stars.
devops-ai-guidelines is primarily written in Go. It covers topics such as agentic-ai, ai, ai-agent.
You can find installation instructions and usage details in the devops-ai-guidelines GitHub repository at github.com/VersusControl/devops-ai-guidelines. The project has 972 stars and 260 forks, indicating an active community.
devops-ai-guidelines is released under the MIT license, making it free to use and modify according to the license terms.
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