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A terminal-first AI/ML interview guide that converts key themes (fundamentals, deep learning, metrics, data handling, MLOps) into fast, reproducible Bash drills: distro-specific installs, venv setup, a tiny scikit-learn model with metrics, shell data triage, a JSON CLI predictor, and git/seed/checksum hygiene—plus common pitfalls, quick-fire Q&A, and next steps to automate, expose via FastAPI, and containerize.