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.

This repository contains resources for the talk "Machine Learning Operations with R". Azure Machine Learning service (Azure ML) is Microsoft’s cloud-based machine learning platform that enables data ...

This book offers solutions to common issues, detailed explanations of essential concepts, and step-by-step instructions to productionize ML workloads using the Azure Machine Learning service. You’ll ...

you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data.

Gain practical experience with tools like Docker, Kubernetes, MLflow, and cloud platforms such as AWS, GCP, or Azure. Integrate machine learning operations with existing DevOps practices, enhancing ...

For Azure ML, best practices include enabling multi-factor authentication (MFA), isolating ... enable detailed audit logs and minimize service account permissions As businesses increasingly rely on AI ...