Machine Learning

Build, train and operate machine learning models with MLOps practices that keep them accurate in production. Models that stay accurate after launch.

• Feature engineering and model training
• MLOps pipelines and model registry
• Vision and document AI services
• ML opportunity assessment
• Trained and validated models
• Automated training and deployment pipelines
• Drift monitoring and retraining plan
• AWS services: Amazon SageMaker, SageMaker Studio, AWS Glue, Amazon Rekognition