In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability issues, and mitigate bottlenecks.Read more.
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The techniques and tools covered in Machine Learning Modeling Pipelines in Production are most similar to the requirements found in Data Scientist job advertisements.
Machine Learning Modeling Pipelines in Production is a part of one structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
