MLflow for Kubernetes: Deploy and Manage ML Models at Scale
Build scalable MLOps with MLflow, KServe, Docker, and Kubernetes. Automate deployments, monitor models, and workflows.
4.67 (3 reviews)
163
students
1.5 hours
content
May 2025
last update
$29.99
regular price
What you will learn
Deploy ML models to Kubernetes at scale using MLflow and KServe
Implement CI/CD pipelines and automate model updates using Kubernetes
Track experiments, perform hyperparameter tuning, and compare model versions with MLflow
Build, package, and monitor production-ready ML services with Docker, MLflow, and Kubernetes
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6592327
udemy ID
30/04/2025
course created date
08/05/2025
course indexed date
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