An AI model's training pipeline involves five independent configuration steps. Step one offers 8 optimization algorithms, step two offers 6 learning rate schedules, step three offers 12 data augmentation techniques, step four offers 5 loss functions, and step five is a binary flag for whether to use pre-trained weights.