AI Pipeline

AI Pipeline #

The AI pipeline is a continuous process where data is collected, prepared, used to train models, evaluated for performance, and continuously improved after deployment.

  1. Collect Data #

  2. Prepare data #

  3. Train Model #

    • Iterate until model is good enough

  4. Deploy Model #

    • Get data back
    • Maintain & update model
timeline
    title AI Pipeline
    Collect Data : Data Ingestion
                 : Data Understanding
    Prepare Data : Cleaning
                 : Feature Engineering
                 : Sampling
    Train Model  : Model Training
                 : Validation & Metrics
    Deploy Model : Deployment
                 : Monitoring & Retraining

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