Deploying and Monitoring ML Models
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.**