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Cut through AI hype with a Linux-first, terminal-driven roadmap that takes you from zero to runnable models using bash, git, and Python. Prep your box, learn data tooling, build classical ML with scikit-learn, step into PyTorch/TensorFlow (CPU ok), and lock down reproducibility with venv, requirements, Makefiles, and DVC, plus mini-projects and troubleshooting to ship fast.