Automated Machine Learning (AutoML) refers to the process of automating the end-to-end process of applying machine learning to real-world problems, making it accessible to non-experts and improving efficiency for experts. It encompasses data preprocessing, model selection, hyperparameter tuning, and model evaluation to streamline the creation of machine learning models.