Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Machine Learning Engineering for Production (MLOps) Coursera Specialization

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

Coursera Machine Learning Engineering for Production (MLOps) Specialization

Machine Learning Engineering for Production (MLOps) is an online non-credit specialization authorized by DeepLearning.AI and offered through Coursera

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Machine Learning Engineering for Production (MLOps) Specialization

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. 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. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills to participate in the development of leading-edge AI technology to solve real-world problems.

This repo contains my coursework, assignments, and Slides for Machine Learning Engineering for Production (MLOps) Specialization by deeplearning.ai on Coursera

Course notes, quizzes, and programming assignments for DeepLearning.AI's "Machine Learning Engineering for Production (MLOps) Specialization"

Coursera courses by Andrew Ng, Robert Crowe, Laurence Moroney, and Cristian Bartolomé Arámburu

Notes from Machine Learning Engineering for Production (MLOps) Specialization by DeepLearningAI

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Machine Learning Engineering for Production (MLOps) Specialization

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Repo for Machine Learning Engineering for Production (MLOps) Specialization

Machine Learning Engineering for Production (MLOps) Specialization on Coursera

Machine Learning Engineering for Production (MLOps) Specialization Course Notes

DeepLearning.ai Machine Learning Engineering for Production (MLOps) Specialization

this repo contain notes of Specialization Machine Learning Engineering for Production(MLops)

Machine Learning Engineering for Production (MLOps) Specialization on Coursera (offered by deeplearning.ai)

This repository is designed to assist students and colleagues in completing the DeepLearning.ai's Machine Learning Engineering for Production (MLOps) specialization course

Contains materials in the Coursera course "Machine Learning Modeling Pipelines in Production," the third course in the Machine Learning Engineering for Production (MLOps) Specialization Certificate of DeepLearning.AI. This repository is mainly for reference.

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Machine Learning Engineering for Production (MLOps) Specialization

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The series of courses I am taking at Coursera