Machine Learning School by Svpino (Santiago Valdarrama) is an intensive, practical training program designed for software engineers and data scientists who want to master MLOps and production machine learning. Moving past basic Jupyter notebooks, Santiago provides a comprehensive roadmap for building, deploying, and maintaining scalable ML systems in the real world. Inside, you will discover how to architect robust model pipelines, automate training loops, and implement continuous integration and continuous deployment (CI/CD) workflows. The curriculum covers essential cloud infrastructure strategies, focusing on deployment techniques that ensure your models perform efficiently at scale without breaking. By mastering these production-level engineering skills, you can bridge the gap between experimental data science and reliable software engineering.