The flight load testing technology has important implications for load designing, strength flight test and life monitoring of the aircraft. In order to obtain the real-time distributed load on the complex wing surface, the data-driven load estimation method is proposed. The artificial neural network is established by deep-learning method. The data set of the structural response for the agent model training is generated by the high-precision finite element method. The deep learning results are verified by comparing with the FEM calculation results, the average error of the total load is about 0.2% and the position error of the pressure center is about 1%. The results show that the whole wing structural load can be estimated using the deep learning model with data from several strain test points in real time.