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🗓️ Day 22 of #30DaysOfAzureAI
Accelerating MLOps with the v2 Solution Accelerator
Last week was for Azure ML developers. This week is "Workshop" week; the content is for everyone. You might be a student starting your AI or Data Science journey, wanting to learn more about MLOps, or an AI app Developer wanting to work through practical examples.
Today, we look at the Azure MLOps (v2) Solution Accelerator and learn how it can help you streamline and automate your machine learning workflows.
🎯 What we'll cover
- The Azure ML MLOps Solution Accelerator.
- Simplified, end-to-end, and modular approach to MLOps.
- Template-based approach to data science.
- Machine learning operations (MLOps)
- Learn Module: Introduction to machine learning operations (MLOps)
- Learn Module: Start the machine learning lifecycle with MLOps
🚌 The Azure MLOps (v2) Solution Accelerator
Today's article introduces you to the Azure MLOps (v2) Solution Accelerator. The Azure MLOps (v2) Solution Accelerator is a project designed to simplify the implementation of MLOps in Azure.
MLOps is a set of automated and collaborative workflows that allow teams of machine learning professionals to quickly and easily deploy their models into production.
The solution accelerator provides a modular end-to-end approach based on pattern architectures, with the goals of simplicity, modularity, repeatability, security, collaboration, and enterprise readiness. It achieves these goals with a template-based approach for end-to-end data science, driving operational efficiency at each stage. The solution accelerator is designed to be customizable to fit each organization's unique needs and can be up and running in just a few hours.
Watch the Azure MLOps (v2) Solution Accelerator Overview Video
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📍 30 days roadmap
What's next? View the #30DaysOfAzureAI Roadmap