Data Science

DevOps, DataOps, MLOps

(0 reviews)
Share icon
Coursera With GroupifyAI

It pertains to the development of operations pipelines that employ the principles and practices of DevOps, DataOps, and MLOps for the development and deployment of models.

Key AI Functions:Python Libraries,Big Data,Machine Learning,Devops,Rust Programming

Description for DevOps, DataOps, MLOps

  • Develop operations pipelines by utilizing DevOps, DataOps, and MLOps.
  • Describe the principles and practices of MLOps, including continuous integration and delivery, model training and development, and data management.
  • Utilize MLOps tools and platforms to develop and deploy machine learning models in a production environment.
  • Level: Advanced

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Duke University

    Duration: 44 hours (approximately)

    Schedule: Flexible

    Reviews for DevOps, DataOps, MLOps

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for DevOps, DataOps, MLOps