AI Monitoring Systems
Deploying and managing systems that continuously monitor AI model performance, data drift, bias, and operational health in production environments.
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Why It Matters
AI models degrade over time as data distributions shift; professionals who monitor and maintain model health prevent silent failures that erode business value and create compliance risk.
How to Get Started
Learn MLflow, Evidently AI, or Arize for model monitoring, and take a machine learning operations (MLOps) course on Coursera or DataCamp to understand the full model lifecycle.
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