Machine Learning Engineering on AWS

Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycle

Key Features

• Gain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and more
• Use container and serverless services to solve a variety of ML engineering requirements
• Design, build, and secure automated MLOps pipelines an...