Stop 17 · MLOps & Model DeploymentProjects · 2/2
End-to-End ML Pipeline
Part of the AI Engineer Roadmap
In short
A full pipeline from raw data to a monitored, deployed model — the project that proves you can own an ML system, not just a single training script.
How to learn this
- 1Build data ingestion, training, evaluation, deployment and monitoring as connected stages.
- 2Automate at least the training-to-deployment handoff, not just individual steps.
- 3Document the pipeline architecture so someone else could operate it.
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