Machine Learning Engineering for Production (MLOps)

Completed by Hemadri Raghu Vamshi

December 8, 2021

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 Hemadri Raghu Vamshi, 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: Hemadri Raghu Vamshi by July 15, 2021

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

View this certificate

Machine Learning Data Lifecycle in Production

DeepLearning.AI

Taught by: Robert Crowe

Completed by: Hemadri Raghu Vamshi by July 15, 2021

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

View this certificate

Machine Learning Modeling Pipelines in Production

DeepLearning.AI

Taught by: Robert Crowe

Completed by: Hemadri Raghu Vamshi by July 17, 2021

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

View this certificate

Deploying Machine Learning Models in Production

DeepLearning.AI

Taught by: Laurence Moroney & Robert Crowe

Completed by: Hemadri Raghu Vamshi by December 8, 2021

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

View this certificate