AI System Management
Administering, maintaining, and optimizing enterprise AI systems including model deployments, data pipelines, compute resources, and monitoring infrastructure.
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Future-Proof
Why It Matters
Production AI systems require ongoing care — model retraining, data pipeline maintenance, and infrastructure scaling — and professionals who keep these systems reliable ensure AI delivers sustained business value.
How to Get Started
Learn MLOps fundamentals through the Google MLOps specialization on Coursera, get hands-on with Kubernetes and MLflow, and practice deploying and monitoring a model end-to-end.
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