Abstract: The present disclosure provides a computing device (100) for classification of an aspirating/dispensing operation in an automated analyzer (50). The computing device (100) comprises a memory (22) storing a neural network model (24). The neural network model 24 sequentially comprises a plurality of convolution blocks (202-1, 202-2 . . . 202-N). The computing device (100) further comprises a processor (20) communicably coupled to the memory (22) and at least one measurement sensor (106) associated with a pipetting probe (104) of a pipetting device (102). The processor (20) is capable of executing the neural network model (24). The processor (20) is further capable of executing instructions (26) to classify the aspirating/dispensing operation into at least one correct class or at least one incorrect class.