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Course Description

**Starting May 8, enrollment for the Machine Learning Engineering for Production Specialization will be closed. Please enroll in this specialization or to individual courses by then to gain access to this course material.**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. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills.Week 1: Neural Architecture SearchWeek 2: Model Resource Management TechniquesWeek 3: High-Performance ModelingWeek 4: Model AnalysisWeek 5: Interpretability
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Enroll Now - Select a section to enroll in

Section Title
Machine Learning Modeling Pipelines in Production
Language of Delivery
English
Section Schedule
Date and Time TBA
Course Fee(s)
Course Fee non-credit $49.00
Drop Request Deadline
TBD
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