MLOps 2024 Roadmap: From Zero to Pro
In the rapidly evolving landscape of artificial intelligence and machine learning, the significance of operationalizing machine learning models cannot be overstated.
Machine Learning Operations, or MLOps, has developed as a vital field that bridges the gap between data science and IT operations. As we approach 2024, this blog will serve as your comprehensive roadmap, guiding you from a beginner’s understanding to becoming an expert in MLOps.
Understanding MLOps — The Foundation
What is MLOps?
MLOps, a fusion of “machine learning” and “operations,” refers to the set of practices and processes aimed at streamlining the development, deployment, and maintenance of machine learning models in production environments.
It is inspired by DevOps, focusing on collaboration, automation, and continuous improvement throughout the machine learning lifecycle.
Why MLOps?
Explore the unique challenges that machine learning systems present and understand how MLOps addresses these challenges.
MLOps provides various benefits to enterprises that use machine learning technologies, including faster time-to-market, higher quality, cheaper costs, improved collaboration, and increased…
