Introduction to MLOps

Understand the bridge between data science and production engineering, recognize why models fail in production, and articulate the end-to-end MLOps lifecycle.

Assumes: Basic machine learning and Python scripting.

Modules

1. The Gap Between Data Science and Production
2. Core Principles and Pillars of MLOps
3. The End-to-End Machine Learning Lifecycle

Tools

• Git
• Python
• Linux