AI and Machine Learning
Amazon SageMaker AI and Amazon Lex
Different AI/ML capabilities: SageMaker AI is a managed platform for building, training, and deploying machine-learning models, while Lex builds conversational voice and text interfaces.
Key points
- SageMaker AI supports the machine-learning lifecycle for custom models.
- Lex recognizes intent and manages conversational interactions for chatbots and voice bots.
- Other in-scope AI services provide prebuilt capabilities such as text analysis, speech, translation, document extraction, or image analysis.
Best-known use cases
- Build and deploy a custom machine-learning model with SageMaker AI.
- Build a conversational bot with Amazon Lex.
What candidates often confuse it with
- SageMaker AI is the model-development platform; Lex is a conversational-interface service.
- Comprehend analyzes text, Polly synthesizes speech, and Transcribe converts speech to text.
Key Cloud Practitioner takeaway
Custom ML lifecycle points to SageMaker AI; conversational bots point to Lex.
Related services
- AWS analytics services
- Other in-scope service recognition
Relevant exam tasks
- D3.7