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DeepLearning.AI - Machine Learning Engineering for Production (MLOps) Specialization 

  • Offered byCoursera

Machine Learning Engineering for Production (MLOps) Specialization
 at 
Coursera 
Overview

Duration

4 months

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning Engineering for Production (MLOps) Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion
    Financial aid available
Details Icon

Machine Learning Engineering for Production (MLOps) Specialization
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps
  • Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles
  • The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production
  • In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data
  • Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance.
  • Learn how to use well-established tools and methodologies for doing all of this effectively and efficiently
Read more

Machine Learning Engineering for Production (MLOps) Specialization
 at 
Coursera 
Curriculum

Introduction to Machine Learning in Production

Machine Learning Data Lifecycle in Production

Machine Learning Modeling Pipelines in Production

Deploying Machine Learning Models in Production

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Machine Learning Engineering for Production (MLOps) Specialization
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Students Ratings & Reviews

5/5
Verified Icon2 Ratings
Y
Yash Pratap Singh
Machine Learning Engineering for Production (MLOps) Specialization
Offered by Coursera
5
Learning Experience: It is great for those who are looking for market relevant skills in ML ops
Faculty: Lawrence Maroney and Andrew NG are the pioneers of machine learning and they proved their worth well in this course Yes the course curriculum is highly relevant to current market demand of an machine learning engineer
Course Support: Yes it has added credibility to my profile
Reviewed on 23 Jul 2022Read More
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Machine Learning Engineering for Production (MLOps) Specialization
 at 
Coursera 

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