Summary and Quiz on Data Quality, Labelling, and Governance

Explore AWS tools for maintaining high data quality, effective labeling workflows, bias detection, and robust governance in machine learning. Understand how Glue Data Quality validates datasets, Ground Truth and A2I manage human labeling and review, SageMaker Clarify detects bias, and security services enforce encryption and data access control. Gain knowledge to build dependable and fair ML pipelines on AWS.