Artificial Intelligence (AI) was developed based on the concept of working procedures of human brain. In AI, dataset is required to develop the model. AI acquire knowledge from data for any physical phenomena. Hence, no assumption is required for the development of AI. In this article, various AI techniques {(Deep Learning(DL), Random Forest(RF), Recurrent Neural Net-work(RNN), K Nearest Neighbour(KNN), Decision Tree(DT), Classification and Regression Trees(CART), Logistic Regression(LR), Histogram-based Gradient Boosting(HGB) and Naive Bayes(NB)} are adopted to solve the various problems of offshore infrastructures. Various examples will be given to show the working procedures of AI models in different fields of offshore infrastructure. Participants will know the use of MATLAB for development of different AI techniques. The practical application of various AI will be discussed in the field of offshore infrastructure. This article also gives the advantages of various AI techniques.