CourseraAbout This Course
Master MLOps practices to transform ML prototypes into scalable, production-ready systems using Docker, MLflow, and Kubernetes. Automate deployments, monitor performance, and optimize AI infrastructure for robust applications. Add to list Coursera 3 hours 40 minutes Self-Paced Paid Course
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