Aim: With Industry 4.0, the period of digitalization has begun in the construction industry, as in many other industries. The use of artificial intelligence techniques or algorithms instead of traditional methods to solve the problems experienced in construction projects and increase the risk of the project has increased in recent years. These studies have shown that artificial intelligence techniques or algorithms give successful results in solving problems in construction projects. This study investigates the applications of artificial intelligence techniques on construction project duration and demonstrates the use of the Gene Expression Programming method in estimating construction project duration. Method: In this study, analyzes were made with Gene Expression Programming (GEP) technique to estimate the project duration by using the variables of the number of floors, floor area and total construction area of 71 construction projects (60 training and 11 test data) built between 2011-2016. Results: The determination coefficient (R2) for this study was calculated as 0.78 for the training set and as 0.72 for the testing set. Conclusion: In this study, it has been seen that the ability of the created algorithm to estimate the construction time with limited data provides partially acceptable performance.