Machine Learning Specialty
MLS-C01Quick Answer
Machine Learning Specialty is a specialty certification from Amazon Web Services that costs $300 and takes 150–200 hours to prepare for. The AWS Machine Learning Specialty validates deep expertise in designing and implementing ML solutions on AWS at scale — model training, hyperparameter tuning, SageMaker pipelines, feature engineering, model deployment strategies, and ML security.
Exam details are sourced from official vendor documentation. Some vendors do not publish passing scores publicly. Always verify current requirements at the official exam page before registering.
About This Certification
The AWS Machine Learning Specialty validates deep expertise in designing and implementing ML solutions on AWS at scale — model training, hyperparameter tuning, SageMaker pipelines, feature engineering, model deployment strategies, and ML security. It is the senior ML credential in the AWS ecosystem.
Who It's For
Senior ML engineers, AI researchers, and data scientists with hands-on SageMaker experience and a working understanding of ML theory. Not an introductory certification — this is for practitioners who already build and ship models.