Workshop on using AI, especially large language models, for systems engineering tasks such as requirements, architecting, traceability, verification and risk analysis.
A one-day (or two half-day) workshop on the practical use of AI, particularly large language models, in systems engineering tasks including requirements capture and authoring, architecting, subsystem requirements derivation, traceability, verification and risk analysis. It is anchored in the principles and process framework of PPI's five-day systems engineering course, and focuses on where AI adds value, where it does not, and how to use it safely and responsibly.
PPI states that prior PPI training is not needed and that the learning transfers to implementations based on ISO/IEC/IEEE 15288, the INCOSE Systems Engineering Handbook or SEBoK.
Expert Systems Engineering Professional (ESEP) · Member, INCOSE Crossroads of America Chapter
Systems engineering consultant and trainer with more than four decades in engineering, engineering management, consulting and training. PPI Principal Consultant and editor of PPI's Systems Engineering Newsjournal.
B.Eng (Electronic), University of Stellenbosch · Certified Systems Engineering Professional (CSEP) · Technology Advisory Board member, Cape Peninsula University
South African systems engineer, consultant and trainer. CTI states he was the first presenter of its Systems Engineering Professional (SEP) exam-preparation course.
Certificate upon completion.
PPI states that the course may be credited towards maintenance of INCOSE Certified Systems Engineering Professional (CSEP) certification for 8 Professional Development Units, qualifies for 8 hours of Engineers Australia and Engineering New Zealand CPD, and that PMI PDUs may be claimed.
Certification relevance indicates subject-matter relevance only. It does not imply accreditation, formal alignment or endorsement by any certifying body.
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