AWS MLS-C01 Machine Learning Specialty Proxy Exam

The AWS Certified Machine Learning – Specialty (MLS-C01) certification validates your expertise in building, training, tuning, and deploying machine learning models on AWS. This certification is designed for data scientists and ML practitioners.

This certification is ideal for data scientists, ML engineers, and AI practitioners. It demonstrates advanced skills in data engineering, exploratory data analysis, model training and tuning, model evaluation, deployment, and operational excellence across AWS ML environments.

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• Data Engineering (S3, Glue, Data Wrangler, Feature Store, Kinesis)
• Exploratory Data Analysis (Athena, QuickSight, Data Visualization)
• Model Training and Tuning (SageMaker, Autopilot, Hyperparameter Tuning)
• Model Evaluation and Selection (Metrics, Cross-Validation, Confusion Matrix)
• Model Deployment and Inference (SageMaker Endpoints, Batch Transform)
• ML Frameworks and Algorithms (XGBoost, Linear Learner, KNN, PCA)
• Natural Language Processing (Comprehend, Translate, Polly, Lex)
• Computer Vision (Rekognition, Lookout for Vision, SageMaker CV)
• Model Monitoring and Governance (Model Monitor, Clarify, Registry)
• Security and Compliance for ML (IAM, KMS, VPC, PrivateLink, Encryption)