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hardCapital OneUberAmazon

Architect a production ML system end to end: data pipelines, training, drift detection, and retraining schedules.

The 45-minute MLOps capstone reported from Capital One and Uber loops. The component walkthrough is table stakes, what's graded is sequencing, the batch-vs-realtime call made early, and knowing which pieces you'd cut for v1.

Updated Sep 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

The 45-minute MLOps capstone reported from Capital One and Uber loops. The component walkthrough is table stakes, what's graded is sequencing, the batch-vs-realtime call made early, and knowing which pieces you'd cut for v1.

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