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A terminal-first guide to AI certifications for Linux users: when certs help, how to pick (AWS MLS-C01, Google PML, Azure AI-102, TensorFlow, NVIDIA DLI), and how to prep entirely with Bash/Python via a reproducible lab, MLOps tasks, and CPU-friendly DL. Includes environment setup, mapped hands-on labs, a 30–60–90 plan, exam-day tactics, and portfolio-focused tips.