PowerBI, a graphical analytics software developed by Microsoft, has incorporated various AI and ML tools to provide accurate predictions and insights for the data feeded into the software. PowerBI is equipped with the AutoML tool which automates the process of applying machine learning to obtain data driven insights. In recent years, the explosion of data has been phenomenal, and due to the rise in interconnectivity and the age of IoT it has led to the emergence of big data. Though AutoML, which uses machine learning, isn't equipped to handle big data. To tackle the presented challenge of volume and scalability, this study aims to provide a solution, AutoDL, with the usage of deep learning models and algorithms. In this study, we attempt to create a base automated deep learning pipeline providing better results on big data. The pipeline was tested on 2 big data sets and we received affirmative results.