Machine Learning Engineering for Production (MLOps)

Completed by Christian Haller

July 10, 2022

Course Certificates Completed

Machine Learning in Production

Machine Learning Data Lifecycle in Production

Machine Learning Modeling Pipelines in Production

Deploying Machine Learning Models in Production

View certificate for Christian Haller, Machine Learning Engineering for Production (MLOps), offered through Coursera. Congratulations! You have completed all four courses of Machine Learning Engineering for Production (MLOps) Specialization.

In this Specialization, you learned how to conceptualize and maintain integrated systems. You mastered well-established tools and methodologies to build production systems that can handle relentless evolving data and continuously run at maximum efficiency. 

You're now familiar with the capabilities, challenges, and consequences of machine learning engineering in production and are ready to level up your career by participating in the development of leading-edge AI technology and solving real-world problems.

Course Certificates

Earned after completing each course in the Specialization

Machine Learning in Production

DeepLearning.AI

Taught by: Andrew Ng

Completed by: Christian Haller by January 22, 2022

At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.

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Machine Learning Data Lifecycle in Production

DeepLearning.AI

Taught by: Robert Crowe

Completed by: Christian Haller by February 21, 2022

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.

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Machine Learning Modeling Pipelines in Production

DeepLearning.AI

Taught by: Robert Crowe

Completed by: Christian Haller by May 14, 2022

At the rate of 5 hours a week, it typically takes 5 weeks to complete this course

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Deploying Machine Learning Models in Production

DeepLearning.AI

Taught by: Laurence Moroney & Robert Crowe

Completed by: Christian Haller by July 10, 2022

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course

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