Overview
MLOps, or Machine Learning Operations, is a set of practices that combines machine learning and software engineering. It helps teams manage the lifecycle of machine learning models, from development to deployment. In this introduction, you will learn the basics of MLOps, including its importance, key concepts, and how it improves collaboration between data scientists and IT operations.
📚 Key Learning Objectives
- ✓ Define MLOps and its significance in machine learning.
- ✓ Identify key components of the MLOps lifecycle.
- ✓ Explain the role of collaboration in MLOps.
- ✓ Describe tools commonly used in MLOps.
- ✓ Outline best practices for implementing MLOps.
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