A model for advanced in-house industrial training: a case study on intelligent system technology transfer using a project-oriented approach

Petroleo Brasileiro SA (PETROBRAS) in conjunction with Synergetics Science and Technology Inc. has developed a comprehensive graduate level educational program in intelligent system design technology. The primary goals of this program are: training professionals to apply artificial intelligence (AI) and neural networks (NN) techniques to managerial and technological problem solving, and to do this in a manner that is both time- and cost-effective. This particular program has been centered around two distinct areas of specialization: symbolic AI and the connectionist approach (NNs). The AI section of the course is titled CAVIAR. The NN section of the course is titled CERN. Short courses and seminars were also part of the program. For this paper, our focus has been to deal with the special needs of graduate-level education in large companies as part of employee professional training. We also explore the nuances of, and the various needs associated with teaching intelligent system design technologies to such a diverse group, as is found in large companies like PETROBRAS. This paper also describes the needs that led to the development of such a broad-based program, the goals and structures of the various courses, the student profiles, educational facilities (libraries and computer laboratories), and the lessons learned. Finally, the conclusion offers recommendations.