Training an NLP classification model involves several steps. First, you need to collect and preprocess labeled training data. Then, you choose a suitable classification algorithm and vectorization technique. Next, you split the data into training and evaluation sets, and perform training by feeding the labeled data into the chosen model. Finally, you evaluate the model's performance and fine-tune it if necessary.