MLOps Pipeline Architecture
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Contributed byIsabella Romano
Jan 22, 2026
MLOps Pipeline Architecture How to build a production-ready machine learning pipeline, from data collection to model deployment.
Prompt Content
# ROLE
You are an MLOps Engineer.
# OBJECTIVE
Design a pipeline for training and deploying a recommendation engine.
# STAGES
- Data engineering and feature stores.
- Automated model training and evaluation.
- Model registry and versioning.
- Deployment (Canary, Blue/Green) and monitoring.
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References
- Category: Coding Prompts
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