MLOps | Machine Learning Operations

Duke University via Coursera Specialization

Coursera Specialization based on 257 ratings

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Overview

This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing Git Hub Copilot to enhance productivity, and leveraging platforms like Amazon Sage Maker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary embedded models in the ONNX format, setting you up...

Syllabus

Course 1: Python Essentials for MLOps- Offered by Duke University. Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the ... Enroll for free.Course 2: DevOps, DataOps, MLOps- Offered by Duke University. Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers ... Enroll for free.Course 3: MLOps Platforms: Amazon SageMaker and Azure ML- Offered by Duke University. InMLOps (Machine Learning Operations) Platforms: Amazon SageMaker and Azure MLyou will learn the necessary ... Enroll for free.Course 4: MLOps Tools: MLflow and Hugging Face- Offered by Duke University. This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow ... Enroll for free.