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Machine Learning Engineering for Production (MLOps) Specialization
Become a Machine Learning expert. Productionize your machine learning knowledge and expand your production engineering capabilities.
Free
This Course Includes
coursera
4.6 (3.4K reviews )
2 months at 10 hours a week 
english
Online - Self Paced
specialization
DeepLearning.AI
About Machine Learning Engineering for Production (MLOps) Specialization
Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from DeepLearning.AI
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..