This video explains how to deploy machine learning models for real-time predictions using Amazon SageMaker. It covers creating an endpoint configuration, setting up an Amazon endpoint, and using Amazon API Gateway and Lambda functions to access the model. The video also discusses A/B testing different model variants in production using Amazon CloudWatch for performance comparison. This approach allows efficient testing and selection of the best-performing model version for real-world applications.