Docker, CI/CD, model registry, monitoring, and GPU inference — MLOps in production.
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Deploy, monitor, and maintain AI systems in production. Docker, Git, CI/CD, model registry, experiment tracking, monitoring, model/data drift, cloud, GPU inference, and distributed systems.
A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.
Enroll to unlock all 13 modules, 13 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.
Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.