mlops-zoomcamp

The mlops-zoomcamp repository addresses the challenges of deploying and monitoring machine learning models, providing a structured approach for ML/AI teams. It is particularly beneficial for data scientists, ML engineers, and DevOps professionals who need a reliable framework for MLOps practices. With a steady growth of 599 stars over 96 days, it indicates a stable community interest, suggesting that it is a production-ready solution. However, teams looking for highly customisable workflows or those requiring extensive enterprise features may find it less suitable.

This repository is a strong choice for teams seeking a comprehensive open source tool for engineering teams focused on MLOps. Teams should consider alternatives if they require advanced features or integrations not covered in this course.

The primary users of this repository include ML engineers, data scientists, and DevOps teams. It is typically used in products and systems that involve machine learning model deployment, monitoring, and orchestration.

Latest commit: 2025-12-01. Over the past 97 days, this repository gained 599 stars (+4.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.