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ML Engineering and MLOps


Ship models that stay healthy long after launch. This cohort covers reproducible pipelines with DVC and Feature Stores, multi-model serving via FastAPI, TorchServe and Triton, and GitHub-Actions CI/CD that pushes blue-green releases to KServe. Observability with Prometheus, drift alerts using Evidently, and rollback playbooks prepare you for real-world incidents. Complete the industry capstone and walk into interviews as an ML Engineer, MLOps Engineer or Model Deployment Specialist.

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9 February

Beginner AI Foundations