Many Data Science / Engineering enthusiasts out there have that dream of successfully deploying there Machine or Deep learning models into a usable Application. I also had this dream and I still do for many of my models yet to be deployed. This then prompted me to learn and map out the necessary pathways to be followed to successfully deploy a Machine Learning model. One other reason for this article is to prevent people from facing some issues I encountered during the course of deploying my model, one of which is the 17-times crashing of the model before the final deployment. This article contains the pathway and important links to articles, free books and videos to aid your model deployment.