Overview of the AWS Certified Machine Learning - Specialty (MLS-C01) Exam
The AWS Certified Machine Learning-Specialty exam validates the technical proficiency of data scientists and machine learning engineers in designing, implementing, and maintaining scalable ML solutions on the AWS cloud. Candidates must demonstrate expertise in selecting appropriate algorithms, optimizing data engineering pipelines using AWS Glue and Amazon Kinesis, and managing model training and deployment via Amazon SageMaker. Mastery of exploratory data analysis, hyperparameter tuning, and feature engineering is required alongside proficiency in implementing security configurations with AWS IAM and KMS. The assessment emphasizes operationalizing models with Amazon Rekognition, Transcribe, and Polly while ensuring architectural scalability, performance efficiency, and cost-optimized infrastructure management.