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MLOps Specialization

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Become a machine learning engineer. Enhance your programming abilities with MLOps

Key AI Functions:Microsoft Azure,Big Data,Data Analysis,Python Programming,Github,Machine Learning,Cloud Computing,Data Management,Devops,Amazon Web Services (Amazon AWS),Rust Programming,MLOps
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Description for MLOps Specialization

  • Develop and implement machine learning models in production environments by mastering Python fundamentals, MLOps principles, and data management.
  • For the development of APIs, pipeline creation, and end-to-end ML solutions, employ Azure, MLflow, Hugging Face, and Amazon Sagemaker / AWS.
  • Utilize the ONNX format with Hugging Face to optimize and deploy containerized models and Large Language Models (LLMs).
  • Manage projects, models, and monitoring system features by designing a comprehensive MLOps pipeline using MLflow.

    • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by Duke University

    Duration: 6 months at 5 hours a week

    Schedule: Flexible

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