building_ml_models.md

Building ML Models

SDKs & Infrastructure-as-Code

• [Docs] SageMaker Python SDK
• [Docs] Boto3 and AWS CLI
• [Docs] CloudFormation
• [Docs] CDK
• [Docs] [External] Terraform

Training

• [Code] Tensorboard on SageMaker
• [Docs] Supported pre-built containers/frameworks (script mode)
• [Docs] SageMaker Environment Variables
• [Docs] How Amazon SageMaker Provides Training Information
• [Docs] Deep Learning Containers
• [Blog] Operationalize your Amazon SageMaker Studio notebooks as scheduled notebook jobs
• [Blog] Why Bring Your Own Container to Amazon SageMaker and How to do it right !
• [Blog] The Multiverse of Amazon SageMaker Toolkits
• [Code] Scheduled jobs on SageMaker Studio Notebooks
• [Code] Training - end-to-end example with Scikit-Learn
• [Code] Using local mode
• [Code] Using custom training containers
• [Code] Training toolkit and Inference toolkit
• [Video] Using Script Mode with Amazon SageMaker
• [Video] Training - end-to-end example with Script Mode

Distributed Training

• [Blog] Choose the best data source for your Amazon SageMaker training job
• [Blog] Scalable Medical Computer Vision Model Training - Part 1
• [Blog] Scalable Medical Computer Vision Model Training - Part 2
• [Blog] Run PyTorch Lightning and native PyTorch DDP on Amazon SageMaker Training
• [Code] SageMaker Distributed Training Workshop- several up-to-date distributed training examples
• [Code] SageMaker Distributed Training examples - Several examples on distributed training
• [Code] Use SageMaker with Trainium and Inferentia