AWS AI General Flashcards
1
Q
List all of the services available in AWS SageMaker AI?
A
Data Preparation & Labeling
- Ground Truth: Data preparation and labeling. Could manage the labeling process for teams to label the data or 3rd parties or mechanical turks
- Data Wrangler: Provide a visual interface to import from many locations, transform using many transformations including Python pandas, and output data to many locations
- Feature store: Centralized repository to store, retrieve, and share ML features across models and teams.
- Clarify: Detects bias in datasets and models and explains predictions for transparency and fairness.
- Processing: Run data preprocessing and postprocessing workloads using your own containers or built-in environments.
Model Building & Experimentation
Model Training
Model Deployment & Inference
MLOps (CI/CD, Monitoring, Governance)
Edge, IoT, and Other Special Use Cases
