End-to-end architectural reference for building production ML/AI systems. Covers: 10 architecture patterns, data pipeline design (batch, streaming, Lambda), model training at scale, 7 serving patterns, and 20 production checklists (data quality, model serving, monitoring, incident response).
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End-to-end architectural reference for building production ML/AI systems. Covers: 10 architecture patterns, data pipeline design (batch, streaming, Lambda), model training at scale, 7 serving patterns, and 20 production checklists (data quality, model serving, monitoring, incident response).