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.
This course is designed to provide a comprehensive understanding of the MLOps lifecycle, including:
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Model Deployment
Learn how to efficiently deploy machine learning models in various environments. -
Monitoring and Maintenance
Explore techniques to monitor model performance, handle drift, and ensure reliability in production. -
CI/CD for ML
Understand 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.
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Tutorials
Step-by-step guides to help you build and deploy MLOps pipelines. -
Code Examples
Hands-on code snippets and scripts to accelerate your learning.
This course is an ongoing effort, and your feedback is invaluable! Feel free to submit issues, pull requests, or suggestions to improve this repository.