Machine Learning in Production

Learn how to take your machine learning models from experimentation to production. This upcoming workshop will cover:

- The ML lifecycle and MLOps principles
- Containerization with Docker
- Model serving and APIs
- Monitoring model performance
- Handling concept drift and model decay
- A/B testing and shadow deployment
- Best practices for ML in production

This advanced workshop is ideal for those who have already built ML models and want to learn how to deploy them effectively.

**Note: This is an upcoming workshop. Registration will open soon.**