An Overview, Introduction and Curated list of MLOps Tools

The set of engineering practices adopted by the data science and engineering teams to manage the entire machine learning life cycle using MLOps (Machine Learning Operations). The ultimate objective of all industrial Machine Learning initiatives is to create Machine Learning products and swiftly implement them in production. However, many Machine Learning initiatives fall short of promises since it is very difficult to automate and operationalize Machine Learning products. This problem is addressed by the MLOps Paradigm. To work with the MLOps the individual has to be aware of variety the tools used to help in different phases of life cycle. This article has created an expert knowledge about the MLOps tools used throughout Machine Learning life cycle in addition to that a comprehensive knowledge about the introduction and its operations.