Machine Learning Engineering for Production (MLOps) Specialization

Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements. Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a productionized ML application. The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance.