Amazon SageMaker Canvas
Build highly accurate ML models using a visual interface, no code requiredWhy SageMaker Canvas?
Through a no-code interface, you can create highly accurate machine learning models —without any machine learning experience or writing a single line of code. SageMaker Canvas provides access to ready-to-use models including foundation models from Amazon Bedrock or Amazon SageMaker JumpStart or you can build your own custom ML model using AutoML powered by SageMaker AutoPilot. With SageMaker Canvas, you can use SageMaker Data Wrangler to easily access and import data from 50+ sources, prepare data using natural language and 300+ built-in transforms, build and train highly accurate models, generate predictions, and deploy models to production.
Ready-to-Use Models
Foundation Models
SageMaker Canvas provides access to ready-to-use foundation model (FMs) such as Claude 2, Llama-2, Amazon Titan, Jurassic-2, and Command (powered by Amazon Bedrock) as well as publicly available FMs such as Falcon, Flan-T5, Mistral, Dolly, and MPT (powered by SageMaker JumpStart)
Tabular, CV, and NLP models
SageMaker Canvas provides access to ready to use tabular, NLP, and CV models powered by AWS AI services, including Amazon Rekognition, Amazon Textract, and Amazon Comprehend.
Custom Models
Data Preparation
SageMaker Canvas offers no-code data exploration and preparation through a point-and-click or natural language UI powered by SageMaker Data Wrangler.
Build Models
SageMaker Canvas uses Amazon’s AutoML powered by SageMaker AutoPilot to build a custom model trained on your dataset.
Evaluate Models
SageMaker Canvas helps you understand model performance with common evaluation metrics and visuals.
Use Models
You can generate predictions in the SageMaker Canvas UI or deploy to a SageMaker endpoint.