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18.4 AI Architecture

AI architecture is the blueprint that connects all the parts of an AI system: data ingestion, storage, the model and its training pipeline, the serving layer that answers requests, and monitoring that watches quality over time. Good architecture makes each part replaceable.

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Data flows from ingestion through processing into model training and serving.

Think of an Ethiopian agriculture advisory app: weather and soil data flow in, a model predicts the best planting time, an API serves advice to farmers' phones, and monitoring flags if predictions drift when the climate changes. Each layer can be upgraded independently.

Scenario

You want to upgrade your model without breaking the live app. What architectural choice helps most?

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1/4 · 40 XP

What is the main goal of good AI architecture?