Yes, the Amazon Redshift ML feature makes it easy for SQL users to create, train, and deploy machine learning (ML) models using familiar SQL commands. Amazon Redshift ML allows you to leverage your data in Amazon Redshift with Amazon SageMaker, a fully managed ML service. Amazon Redshift supports both unsupervised learning (K-Means) and supervised learning (Autopilot, XGBoost, MLP algorithms). You can also use AWS Language AI services to translate, redact, and analyze text fields in SQL queries with prebuilt Lambda UDF functions - see blog post.