pstrongGet up and running with machine learning life cycle management and implement MLOps in your organizationstrongppbrppstrongKey Features strongpulliBecome well-versed with MLOps techniques to monitor the quality of machine learning models in productionliliExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsliliPerform CICD to automate new implementations in ML pipelinesliulpbrppstrongBook Description strongppMLOps is a systematic approach to building, deploying, and monitoring machine learning ML solutions. It is an engineering discipline that can be applied to various industries and use cases. This book presents comprehensive insights into MLOps coupled with real-world examples to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.ppbrppThe book begins by familiarizing you with the MLOps workflow so you can start writing programs