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The librarymlops · advanced

MLOps & Production ML

Deploy, monitor, and maintain ML systems. Docker, Kubernetes, CI/CD, experiment tracking, and drift detection.

★★★★★—· 0 learners
40 hours · 44 lessons
№ 01What you'll build · week by week
44 lessons total
From the reviews
“Closer to an apprenticeship than a course.”
★★★★★
Marco V. · Engineer · Linear
What you'll have shipped
01A working mlops project
02Reviewed code, retired and promoted
03A portfolio piece you'd actually link to