ML platform
SageMaker JumpStart
Prebuilt models, foundation models, notebooks, and solution templates.
Key points
- Provides ready-to-use models, foundation models, notebooks, and example solutions.
- Helps teams start from curated assets instead of building everything from scratch.
- Can deploy or fine-tune supported models through SageMaker workflows.
- Includes solution templates for common ML use cases.
- Targets faster experimentation and prototyping within SageMaker.
When to use it
- Choose JumpStart when the team wants a prebuilt model or starter solution inside SageMaker.
- Use it to evaluate foundation models or ML examples before custom development.
- Use it when a notebook or solution template is the exam clue.
Exam tips
- JumpStart accelerates starting points; Autopilot automatically builds tabular models from data.
- JumpStart is still part of SageMaker, not a replacement for Bedrock managed generative AI APIs.
- For no-code model building by business users, Canvas is the better clue.
- Prebuilt does not mean no validation; teams still evaluate performance and fit.