Coursera – MLOps Machine Learning Operations Specialization 2023-12

Coursera – MLOps Machine Learning Operations Specialization 2023-12 Downloadly IRSpace

Apr 17, 2025 - 14:20 Updated: Aug 17, 2025 - 13:16

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Coursera – MLOps Machine Learning Operations Specialization 2023-12

MLOps Machine Learning Operations Specialization, 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 GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, 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 for success in the ever-evolving field of MLOps. 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 GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, 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 for success in the ever-evolving field of MLOps. Through this series, you will begin to learn skills for various career paths: 1. Data Science – Analyze and interpret complex data sets, develop ML models, implement data management, and drive data-driven decision making. 2. Machine Learning Engineering – Design, build, and deploy ML models and systems to solve real-world problems. 3. Cloud ML Solutions Architect – Leverage cloud platforms like AWS and Azure to architect and manage ML solutions in a scalable, cost-effective manner. 4. Artificial Intelligence (AI) Product Management – Bridge the gap between business, engineering, and data science teams to deliver impactful AI/ML products.

What you’ll learn

Master Python fundamentals, MLOps principles, and data management to build and deploy ML models in production environments.
Utilize Amazon Sagemaker / AWS, Azure, MLflow, and Hugging Face for end-to-end ML solutions, pipeline creation, and API development.
Fine-tune and deploy Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face.
Design a full MLOps pipeline with MLflow, managing projects, models, and tracking system features.

Specificatoin of MLOps Machine Learning Operations Specialization

Publisher : Coursera
Teacher : Noah Gift
Language : English
Level : Expert
Number of Course : 4
Duration : 6 months at 5 hours a week

Content of MLOps Machine Learning Operations Specialization

MLOps _ Machine Learning Operations Specialization

Requirements

You should have basic Python programming experience, familiarity with computer science concepts, and a strong foundation in mathematics (especially linear algebra and statistics).

Coursera – MLOps Machine Learning Operations Specialization 2023-12