Chronic obstructive pulmonary disease (COPD) is crucial and heterogeneous diseases which has benefitted from various novel techniques to understanding and analyze its evolution and divergent trajectories. Chronic obstructive pulmonary disease (COPD) is a lung condition that worsens with time and impairs airflow permanently. Artificial intelligence(AI) has transformed the way we interpret and analyse complex systems using clinical, imaging, and genomic. In the fields of automated clinical decision making, radiological interpretation, and prognostication, AI has demonstrated impressive outcomes. The particular characteristics of COPD and the availability of populations with accurate phenotypes create the perfect environment for the development of AI. This study gives an overview of AI and deep learning and highlights some recent achievements in using AI to treat COPD. This work has built multiple models to detect the disease some of which are Logistic Regression, K-Nearest Neighbors, XGBoost and Artificial Neural Network. The proposed models are applied on pre-processed data after which the accuracies are compared to check which algorithm provides the most beneficial outcome.