**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.**
Deploying Machine Learning Models in Production
This course is part of Machine Learning Engineering for Production (MLOps) Specialization
Taught in English
Some content may not be translated
Instructors: Laurence Moroney
Sponsored by MAHE Manipal
33,457 already enrolled
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(326 reviews)
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15 quizzes
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(326 reviews)
85%
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There are 4 modules in this course
Learn how to make your ML model available to end-users and optimize the inference process
What's included
7 videos7 readings3 quizzes2 app items
Learn how to serve models and deliver batch and real-time inference results by building scalable and reliable infrastructure
What's included
8 videos8 readings6 quizzes3 app items
Learn how to implement ML processes, pipelines, and workflow automation that adhere to modern MLOps practices, which will allow you to manage and audit your projects during their entire lifecycle
What's included
9 videos10 readings3 quizzes2 app items1 ungraded lab
Establish procedures to detect model decay and prevent reduced accuracy in a continuously operating production system
What's included
13 videos9 readings3 quizzes1 app item
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