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Guide explains how to build AI-driven self-healing on Linux using Bash: monitor services, predict failures with Python ML models (TensorFlow/PyTorch), and trigger automated fixes (e.g., restart Apache). Covers environment setup, integrating predictions into scripts, using tools like Nagios, Prometheus, and Grafana, and best practices for testing, security, and continuous model improvement.