History of INLPTA

ImageThe International NLP Trainers Association (INLPTA) was formed in late 1993 by Wyatt Woodsmall (NLP Master Trainer and Master Modeler, USA), Marvin Oka (NLP Master Trainer, Australia), and Bert Feustel (NLP Master Trainer, Germany) in response to a growing need amongst NLP Trainers around the world for the establishment of a unified accreditation body based on a consistency of quality in the accreditation standards, professional conduct and ethical applications of NLP technology.

INLPTA is an international cooperative association of aligned NLP Trainers and Master Trainers who have agreed to abide by and uphold INLPTA's standards of quality, professionalism and ethics in their NLP accreditation trainings and in the conduct of their NLP business. INLPTA has trainers in over 50 countries on all five continents who are doing quality trainings following the INLPTA guidelines and it continues to expand into even more countries.

The enthusiastic and positive response to the formation of INLPTA from the NLP training community in general has come from increased awareness that:

  • NLP can play a significant role in contributing to the evolution of individuals, groups, communities, societies, nations, the world, and humankind.
  • While the technology of NLP itself is neutral, it can be used in evolutionary or de-evolutionary ways. Therefore, NLP must be taught and learned within contextual frameworks of ecology and meta ethics.
  • For NLP to optimally evolve itself as a field, the NLP training community must be self monitoring and united in the way it maintains its frameworks of ecology and meta ethics

It is the aim of INLPTA to serve as the catalyst for this self monitoring process. INLPTA is not a policing body, but rather it is a cooperative. INLPTA is an affiliation of aligned NLP training professionals who believe that NLP has much to offer humanity and that as a profession and field of study it must transcend the boundaries of individual personalities, egos, and the power politics which prevent NLP's evolution.

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