This repository offers a structured starting point for MLOps initiatives, delivering pre-configured directories, CI/CD patterns, and Docker integration tailored for machine learning deployments. It is designed to work with platforms like Kubernetes, Vertex AI, Databricks, Azure ML, and AWS SageMaker by standardizing how Python packages and containers are structured. The template includes guidance for testing, versioning, and deploying ML artifacts in a reproducible manner.