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DevOps, DataOps, MLOps
Coursera
Course
Unknown

DevOps, DataOps, MLOps

Duke University

Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for people working (or seeking to work) as data scientists, software engineers or developers, data analysts, or other roles that use ML. By the end of the course, you will be able to use web frameworks (e

Unknown5 weeks36,873 enrolled

About this Course

Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for people working (or seeking to work) as data scientists, software engineers or developers, data analysts, or other roles that use ML. By the end of the course, you will be able to use web frameworks (e

What You'll Learn

  • Build operations pipelines using DevOps, DataOps, and MLOps
  • Explain the principles and practices of MLOps (i.e., data management, model training and development, continuous integration and delivery, etc.)
  • Build and deploy machine learning models in a production environment using MLOps tools and platforms.

Instructors

N

Noah Gift

Interdisciplinary Data Science (MIDS)

A

Alfredo Deza

Topics

MLOps (Machine Learning Operations)
Rust (Programming Language)
PyTorch (Machine Learning Library)
Machine Learning
Cloud Solutions
CI/CD
Tensorflow
Hugging Face
Big Data
Containerization

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

MLOps (Machine Learning Operations)
Rust (Programming Language)
PyTorch (Machine Learning Library)
Machine Learning
Cloud Solutions
CI/CD
Tensorflow
Hugging Face
Big Data
Containerization

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