AI roadmap for DevOps professionals
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This repository offers a comprehensive roadmap and practical resources for DevOps professionals transitioning into AI, targeting individuals seeking career growth and organizations aiming for safe AI adoption. It provides structured learning paths, enterprise guidelines, and productivity tips to master AI infrastructure and workflows.
How It Works
The project outlines an 18-month learning journey from DevOps Engineer to AI Infrastructure Architect, featuring a visual roadmap with three phases. It includes guides for building AI agents with Golang and LangChain, and for setting up AI-powered MCP servers using Golang and Kubernetes. The approach emphasizes practical application and enterprise-grade frameworks for secure AI implementation.
Quick Start & Requirements
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Maintenance & Community
The repository is maintained by the DevOps VN community and was last updated in July 2025. Support is encouraged through starring the repository or sponsoring development.
Licensing & Compatibility
Licensed under the MIT License, permitting commercial use and integration with closed-source projects.
Limitations & Caveats
The repository is documentation-centric, with no executable code provided for direct testing or benchmarking. The learning path is extensive, requiring significant time commitment for completion.
10 hours ago
Inactive