1. The document provides step-by-step instructions for creating an AutoML class on CP Central to identify laptop batteries. It outlines selecting classification techniques, specifying class details, testing the class, training an ML model, and deploying the trained model to production. 2. Key steps include selecting AutoML as the classification technique, specifying inclusion keywords of "laptop" and "battery", testing the class on a full catalog, validating test results, training the ML model by labeling example products, and deploying the trained model for live classification. 3. Upon completing all configuration and testing steps, the class is launched and ready for production classification of products as the targeted laptop batteries or not.