AWS Cloud TutorialLesson 53Free preview
AWS AI/ML on AWS
This lesson is part of AWS · All levels
Summary
AWS is organizing its AI/ML offerings into three layers: infrastructure and framework below, service (SageMaker) in the middle, and AI ready-to-use services above. Users can directly use AI services without data science expertise, or level up to custom model building with SageMaker. This layered architecture makes AWS AI/ML accessible to the needs and capabilities of the team.
Key points
- The bottom layer: infrastructure (GPU, Trainium/Inferentia chips) and open source framework
- Middle layer: Amazon SageMaker to build, train, and deploy models
- Top layer: Ready-to-use AI services such as Recognition, Comprehend, Transcribe
- SageMaker Studio provides a web-based work environment for the entire ML cycle
- Beginners can start without building their own models through ready-made services
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