DevOps, DataOps, MLOps

DevOps, DataOps, MLOps

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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

Features of Course

  • 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

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