Project: Model Deployment Pipeline
Description
In this project, you will create a pipeline for deploying machine learning models into production environments. This project will help you understand how to streamline the deployment process to ensure models are deployed efficiently and reliably.Project Prompt
- Develop a pipeline that automates the deployment of machine learning models into production environments.
- Implement features for model versioning, monitoring, and rollback.
- Create a user-friendly interface for configuring and managing model deployments.
- Ensure the pipeline is modular and reusable across various machine learning projects.
Getting Started
- Choose suitable tools and frameworks for model deployment (e.g., Docker, Kubernetes, MLflow).
- Set up a backend service to handle model deployment tasks.
- Develop the frontend interface for configuring and managing model deployments.
- Implement features for model versioning, monitoring, and rollback.
- Test the pipeline with various models to ensure flexibility and reliability.