The objective of this study is to propose an enabling strategy in complementary training competencies to generate qualified human capital in the mastery of advanced techniques in artificial neural networks. A horizontal case study is proposed which covers training stages in the student at an early stage for the training of a civil engineer in computer science. The case described here describes how the student, in the exploratory and training process, reaches a framework of maturity that allows him/her to validate specific competencies at different levels, such as applying computer science procedures, managing information technologies, software development, and modeling and applying engineering sciences. The coverage of competency integration courses allows maturity in knowledge, such as knowing, knowing how to know, knowing how to do, and being. The advances indicate a maturity of knowledge in the training process.