  Massive Open Online Courses (MOOCs) have transformed the educational
landscape, offering scalable and flexible learning opportunities, particularly
in data-centric fields like data science and artificial intelligence.
Incorporating AI and data science into MOOCs is a potential means of enhancing
the learning experience through adaptive learning approaches. In this context,
we introduce PyGlide, a proof-of-concept open-source MOOC delivery system that
underscores autonomy, transparency, and collaboration in maintaining course
content. We provide a user-friendly, step-by-step guide for PyGlide,
emphasizing its distinct advantage of not requiring any local software
installation for students. Highlighting its potential to enhance accessibility,
inclusivity, and the manageability of course materials, we showcase PyGlide's
practical application in a continuous integration pipeline on GitHub. We
believe that PyGlide charts a promising course for the future of open-source
MOOCs, effectively addressing crucial challenges in online education.
