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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