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

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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

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