Machine Learning
RecognitionAmazon SageMaker AI
Managed platform for building, training, tuning, and deploying machine-learning models.
Key points
- It provides ML lifecycle infrastructure; select it when a custom model is required rather than a prebuilt AI API.
Best-known use cases
- Train and deploy a custom prediction model.
What candidates often confuse it with
- SageMaker AI builds custom ML solutions; services such as Comprehend or Rekognition provide prebuilt capabilities.
Key takeaway
Choose SageMaker AI for the custom ML lifecycle.
Related services
- Amazon Comprehend
- Amazon Rekognition
Relevant exam tasks
- D2.2