This repository contain labs for Machine Learning in Production, a course by DeepLearning.AI, taught by Andrew Ng.
Machine Learning in Production covers how to design and build end-to-end ML systems that run reliably in real-world environments. It goes beyond model training to focus on the engineering practices needed to deploy, monitor, and continuously improve ML applications in production.
Week 2 Lab are implemented locally — not in DeepLearning.AI's cloud environment — using up-to-date library versions.
Course content and assignments are created by Course page on DeepLearning.AI and taught by Andrew Ng on DeepLearning.AI. All intellectual credit for the curriculum belongs to its original creators. This repository exists solely for learning.