  As Large Language Models (LLMs) and other forms of Generative AI permeate
various aspects of our lives, their application for learning and education has
provided opportunities and challenges. This paper presents an investigation
into the use of LLMs in asynchronous course creation, particularly within the
context of adult learning, training and upskilling. We developed a course
prototype leveraging an LLM, implementing a robust human-in-the-loop process to
ensure the accuracy and clarity of the generated content. Our research
questions focus on the feasibility of LLMs to produce high-quality adult
learning content with reduced human involvement. Initial findings indicate that
taking this approach can indeed facilitate faster content creation without
compromising on accuracy or clarity, marking a promising advancement in the
field of Generative AI for education. Despite some limitations, the study
underscores the potential of LLMs to transform the landscape of learning and
education, necessitating further research and nuanced discussions about their
strategic and ethical use in learning design.
