Cloud with its vast reach and resources offers many tantalizing opportunities to improve AIArtificial Intelligence (AI) based learning systems. ML serves as a valuable tool for practitioners working on real-life problems using Reinforcement learningReinforcement Learning. A key need is to develop the ability for enabling incremental training for neural networkNeural Network parameters, when the training dataset is constantly evolving. In this chapter, we will study analyticsAnalytics methods such as MapReduceMapReduce, HadoopHadoop and example of some services provided by various Public CloudsPublic Cloud. NLPNatural Language Processing (NLP) is an active research area with a promising future using Cloud computingCloud Computing resources, so we will end the chapter by looking at an example of detecting hate speech using NLPNatural Language Processing (NLP).