MLOps for Engineers: How to Take an AI Model from Jupyter to Production Without Dying in the Attempt
Building a Machine Learning model in a Jupyter notebook is easy; keeping it alive, accurate, and monitored in production with real-world streaming data is where 87% of projects die. This is the practical MLOps guide for engineers: the 4 core pillars, modern tool stacks, and how to turn isolated scripts into automated industrial pipelines.
