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

| Document | Description | Status | | ------------------------------------------------------------------------- | ----------------------------------------------------------------- | ------------ | | | Complete visual learning path with 3 phases and navigation | ✅ Available | | | Complete guide to building MCP servers with Golang and Kubernetes | ✅ Available | | | Complete guide to building AI Agent with Golang and LangChain | ✅ Available | | | A Step-by-Step Guide for Beginners to Design, Build, and Scale Your Business Infrastructure on Amazon Web Services | ✅ Available |