MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Machine learning with decentralized training data using federated learning on Amazon SageMaker

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

Zero-shot text classification with Amazon SageMaker JumpStart

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch

Generate creative advertising using generative AI deployed on Amazon SageMaker

Host the Spark UI on Amazon SageMaker Studio