Welcome to the first entry in our series on deploying machine learning models in AWS. As cloud computing and machine learning continue to evolve and intersect, understanding the dynamics of deployment becomes invaluable. Whether you're an enthusiast, a budding data scientist, or a seasoned professional, the insights offered by this series are tailored to empower you to make the most of AWS's vast ecosystem. One recurrent pitfall in the journey of many machine learning beginners is the confinement of their models within the boundaries of a Jupyter notebook. Picture this: after hours or even days of data wrangling, feature engineering, [...]