Basics of model deployment

Hi,

I'm a bit overwhelmed by the quantity and so many different courses/guides on how to deploy a model and feel lost.

It seems that the most common tools are flask, docker, and then AWS/GCP. Also, heroku and streamlit.

I would like to understand the steps on how to deploy a model independently of the framework (pytorch, keras, etc).
Could someone provide a rough guideline to understanding the steps on how to deploy a model into production? In what order …

basics datascience deployment model deployment