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AI runs on Linux; this guide shows why and how to turn terminal fluency into an AI career, outlining Linux-heavy roles (MLOps/platform, systems/perf, edge, data pipelines, security), the key tools (Bash, Python, containers, CUDA/ROCm), and a hands-on roadmap: set up a reproducible env, use Docker/Podman, serve via FastAPI+Nginx with observability, automate with Bash/tmux, ship a portfolio with CI, and learn PyTorch/ONNX before tackling Kubernetes.