The burgeoning landscape of data science demands more than just model building; it requires robust, scalable, and dependable infrastructure to support the entire data science lifecycle. This manual delves into the vital role of Data AI/ML Engineering, outlining the practical skills and technologies needed to bridge the gap between data analysts and