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2009

Use of AI in Learning & Development

Abstract

To support the UK achieving net zero by 2050, there is a need to decarbonise the current gas networks of transmission and distribution levels. The conversion of the NTS into a hydrogen transmission network has been widely discussed and extensive work is underway to prove the technical capability and commercial viability of a 100% hydrogen network. There is also additional work to support the governments clean power targets and a three-molecule approach has been adopted within National Gas to consider (bio)methane, hydrogen (including hydrogen blends) and carbon dioxide.

The gas networks need to be prepared to operate and safely manage the transportation of all three molecules, especially with the ambition to develop a 100% hydrogen network in the future, upskilling and training the current workforce and the workforce of the future is a fundamental step to ensuring the facilitation of the energy transition.

Identifying the skills and competencies required both during the transition and after the transition to maintain the future systems was discovered in the Skills and Competencies NIA that closed in Q4 2023. A competency framework was developed that will provide a baseline for the training and resourcing strategy proposed for operational and technical skills and competency requirements for current and future workforces.

The project produced a comprehensive plan to identify the known gaps and to provide a roadmap for key developments of standards and policies which will drive the training and competency needs. Furthermore, it identified potential training facilities to support the development of the plan and ultimately facilitate rollout. The project also enabled a large-scale training and competency programme to be developed alongside the relevant technical standards and policies in readiness for deployment to the relevant engineers.

National Gas would therefore like to understand how AI tools can be used to accurately and efficiently produce training materials and create a more effective, personalised training experience.

The Use of AI for Learning & Development will provide National Gas with a number of new learning opportunities. Initially, it will test the hypothesis that AI can effectively create training specifications, learning modules and assessments from policy documentation. It will also demonstrate the best tool to use for the implementation of such an application, should the proof of concept be successful.

file format pdf download NIA_NGT0290_Use_of_AI_in_Learning_and_Development.pdf
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2025-10-01
2025-12-19
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