This session will focus on the practical implementation of MLOps within Microsoft Fabric to achieve effective AI/ML model governance. We'll walk through the end-to-end process of building automated pipelines for model training, deployment, monitoring, and retraining, emphasizing how Fabric's integrated tools (Synapse, Data Factory, MLflow) facilitate version control, experiment tracking, and continuous validation. We'll also discuss strategies for seamless integration with Power BI for operational reporting and real-time insights into model performance and governance metrics.