Скачать или смотреть 7.3. Lineage - MLOps Coding Course

When your model fails, where do you start debugging? This video delves into data and model lineage, a fundamental concept in professional MLOps that creates a complete audit trail for your AI systems. It shows how tracking the entire lifecycle of your data and models can accelerate debugging, ensure compliance, and guarantee reproducibility. The video breaks down the four key components of lineage: data origin, transformations, training, and deployment. You'll understand why lineage is a business imperative, especially for meeting regulatory requirements like GDPR. The video concludes by demonstrating a practical lineage implementation in Python using MLflow's Dataset API to create a detailed, visual audit trail of your data's journey, highlighting key challenges and best practices.