- Managing Machine Learning Production Systems
- Deployment Pipelines
- Model Pipelines
- Data Pipelines
- Machine Learning Engineering for Production
Machine Learning Engineering for Production (MLOps)
Completed by Mikhail Kyraha
December 23, 2021
Approximately 4 months at 6 hours a week to completeMikhail Kyraha's account is verified. Coursera certifies their successful completion of DeepLearning.AI Machine Learning Engineering for Production (MLOps) Specialization.
Course Certificates Completed
Introduction to Machine Learning in Production
Machine Learning Data Lifecycle in Production
Machine Learning Modeling Pipelines in Production
Deploying Machine Learning Models in Production
What you will learn
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.
Build data pipelines by gathering, cleaning, and validating datasets. Establish data lifecycle by using data lineage and provenance metadata tools.
Apply best practices and progressive delivery techniques to maintain and monitor a continuously operating production system.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Introduction to Machine Learning in Production
DeepLearning.AI
Taught by: Andrew Ng & Cristian Bartolomé Arámburu
Completed by: Mikhail Kyraha by June 9, 2021
At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.
Machine Learning Data Lifecycle in Production
DeepLearning.AI
Taught by: Robert Crowe
Completed by: Mikhail Kyraha by July 15, 2021
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
Machine Learning Modeling Pipelines in Production
DeepLearning.AI
Taught by: Robert Crowe
Completed by: Mikhail Kyraha by September 4, 2021
At the rate of 5 hours a week, it typically takes 5 weeks to complete this course
Deploying Machine Learning Models in Production
DeepLearning.AI
Taught by: Laurence Moroney & Robert Crowe
Completed by: Mikhail Kyraha by December 23, 2021
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course
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