SageMaker

Amazon SageMaker is a fully managed platform covering every stage of the machine learning lifecycle: data labeling with Ground Truth, training on managed compute, hyperparameter tuning, bias detection and explainability with SageMaker Clarify, and real-time or batch inference hosting. It provisions infrastructure so teams focus on models, not clusters. The key AIF-C01 distinction is between SageMaker and AWS’s purpose-built AI services: SageMaker builds and trains custom models when no pre-built service fits, while Rekognition, Comprehend, and Transcribe deliver ready-to-call capabilities with no training. Proprietary data needing a tailored model points to SageMaker; adding image recognition or sentiment analysis points to the purpose-built services.