Automated Machine Learning (AutoML) is a research area in artificial intelligence and machine learning that focuses on developing systems and algorithms that can automate the process of building and optimizing machine learning models. AutoML aims to make machine learning more accessible and easier for non-experts by automating tasks such as data preprocessing, feature selection, model selection, hyperparameter tuning, and model evaluation. This field is rapidly growing and has the potential to significantly impact industries and domains that rely on machine learning technology.