π Your complete journey from DevOps Engineer to AI Infrastructure Architect - with comprehensive learning paths, practical tips, and enterprise guidelines
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.
- οΏ½οΈ Complete learning roadmap from DevOps to AI Infrastructure Architect
- π Structured tutorials for AI fundamentals and advanced techniques
- π‘οΈ Enterprise AI frameworks for safe team implementation
- π Career acceleration strategies and interview preparation
- π‘ Daily productivity tips and automation workflows
- βοΈ Cloud optimization using AI tools and techniques
Complete 18-month journey from DevOps Engineer to AI Infrastructure Architect
| Document | Description | Status |
|---|---|---|
| π AI Roadmap Overview | Complete visual learning path with 3 phases and navigation | β Available |
| π MCP for DevOps | Complete guide to building MCP servers with Golang and Kubernetes | β Available |
| π AI Agent for DevOps | Complete guide to building AI AgentΒ with Golang and LangChain | β Available |
| Document | Description | Time to Read |
|---|---|---|
| AI Guidelines for DevOps Teams | Complete framework for implementing AI safely in your organization | 15-20 min |
| Document | Description | Time to Read |
|---|---|---|
| AI Interview Preparation Guide | Master AI-related DevOps interview questions and scenarios | 10 min |
| 10 Essential AI Prompts for DevOps | Ready-to-use prompts that will boost your daily productivity | 5 min |
| Document | Description | Time to Read |
|---|---|---|
| AWS Certification 10x Faster with AI | Accelerate your AWS learning using AI tools and strategies | 8 min |
- Start with 10 AI Prompts for immediate productivity gains
- Use AWS AI Learning to accelerate certifications
- Prepare for interviews with AI Interview Guide
- Review Team Guidelines for safe AI implementation
- Share Daily Prompts with your team
- Establish security framework from the guidelines
- Implement AI Guidelines across teams
- Train teams using all resources as reference material
- Monitor and optimize based on provided frameworks
This project is licensed under the MIT License - see the LICENSE file for details.
If these guidelines have helped your team implement AI safely and effectively, consider:
- β Starring this repository
- π Sponsoring continued development
Made with β€οΈ by the DevOps VN community | Helping DevOps professionals thrive in the AI era
Repository last updated: July 2025