The rapidly changing landscape of data science demands more than just model building; it requires robust, scalable, and dependable infrastructure to support the entire machine learning lifecycle. This manual delves into the vital role of Data machine learning Engineering, exploring the practical skills and frameworks needed to bridge the gap betwee