## Low Code - No Code - [Docs] [SageMaker JumpStart Available Model Table](https://sagemaker.readthedocs.io/en/v2.82.0/doc_utils/jumpstart.html) - [Blog] [Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models](https://aws.amazon.com/blogs/machine-learning/implementing-mlops-practices-with-amazon-sagemaker-jumpstart-pre-trained-models/) - [Video] [Introduction to Amazon SageMaker Canvas](https://www.youtube.com/watch?v=Sy3GDQT6Lnk) - [Workshop] [SageMaker Canvas Immersion Day](https://catalog.us-east-1.prod.workshops.aws/workshops/80ba0ea5-7cf9-4b8c-9d3f-1cd988b6c071/en-US) - [Workshop] [AWS Machine Learning Low-Code Immersion Day](https://catalog.us-east-1.prod.workshops.aws/workshops/f560a788-af64-4e5a-a02c-a6c88516ab02/en-US/) ## AutoML - [Code] [Direct Marketing with Amazon SageMaker Autopilot](https://github.com/aws/amazon-sagemaker-examples/blob/main/autopilot/sagemaker_autopilot_direct_marketing.ipynb) - [Video] [Using AutoML to create high-quality models with just a few clicks](https://www.youtube.com/watch?v=f9aCwmVWvC8) - [Video] [Using AutoML for Common Financial Services Use Cases](https://www.youtube.com/watch?v=r2-VmuUh7jM) ## Data Wrangler - [Code] [Amazon SageMaker Data Wrangler for Diabetic Patient Readmission Prediction](https://github.com/aws-samples/amazon-sagemaker-data-wrangler-hospital-readmission-prediction) - [Video] [External] [Using SageMaker Data Wrangler to process a stroke prediction dataset](https://www.youtube.com/watch?v=AEYSNNiIq-k) - [Video] [External] [Using advanced import and export options with SageMaker Data Wrangler](https://www.youtube.com/watch?v=O5W-tvbQ664)