Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › AI/ML Engineer

Model life cycle

concept · part of AI/ML Engineer

The model life cycle encompasses all stages from data collection, preprocessing, model development, evaluation, deployment, to ongoing monitoring and maintenance. AI/ML engineers manage this entire process to ensure models are scalable, reliable, and effective in real-world applications. Understanding the life cycle helps prevent issues like model drift and ensures continuous improvement.

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