MLOps Course

Welcome to the MLOps Course! This repository is dedicated to helping you master Machine Learning Operations (MLOps)—the discipline of deploying, monitoring, and maintaining machine learning models in production.

🚀 What You'll Learn

This course is designed to provide a comprehensive understanding of the MLOps lifecycle, including:

• Model DeploymentLearn how to efficiently deploy machine learning models in various environments.

• Monitoring and MaintenanceExplore techniques to monitor model performance, handle drift, and ensure reliability in production.

• CI/CD for MLUnderstand continuous integration and delivery practices tailored for machine learning projects.

• Scalable and Reproducible Pipelines Build workflows that are scalable, automated, and reproducible for real-world applications.

📁 What's Inside

• TutorialsStep-by-step guides to help you build and deploy MLOps pipelines.

• Code ExamplesHands-on code snippets and scripts to accelerate your learning.

🤝 Contributions & Feedback

This course is an ongoing effort, and your feedback is invaluable! Feel free to submit issues, pull requests, or suggestions to improve this repository.