Scalability Trends

MLOps, or Machine Learning Operations, is a set of practices that focuses on deploying and maintaining machine learning models in a production environment, ensuring reliability and efficiency. MLOps combines the principles of Machine Learning with DevOps to streamline the end-to-end process of developing, deploying, and monitoring machine learning models. It involves collaboration and communication between data scientists and operations professionals, aiming to increase the quality, simplify management processes, and automate the deployment of machine learning and deep learning models in large-scale production environments. MLOps is not particularly easy to learn and may take a few months of dedication to learn all the necessary skills. However, if you are a DevOps engineer with knowledge of machine learning algorithms, you can easily transition to MLOps in just a few weeks.