In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.Read more.
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The techniques and tools covered in Introduction to Machine Learning in Production are most similar to the requirements found in Data Scientist job advertisements.
Introduction to Machine Learning in Production is a part of one structured learning path.
Machine Learning Engineering for Production (MLOps)