AWS Certified Machine Learning Engineer – Associate
MLA-C01 targets ML engineers who operationalize models on AWS. It covers preparing data for modeling, developing and tuning models with SageMaker, choosing deployment and orchestration approaches (endpoints, pipelines, CI/CD), and monitoring, securing and maintaining ML systems in production.
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Start MLA-C01 examSkills measured
Data Preparation for Machine Learning
28%Ingestion and transformation with Glue, EMR and SageMaker Data Wrangler, feature engineering, and data integrity and bias checks.
ML Model Development
26%Framing the problem, algorithm and model selection, training and tuning, and evaluation metrics and overfitting.
Deployment and Orchestration of ML Workflows
22%Real-time and batch inference, SageMaker Pipelines, infrastructure as code, and CI/CD for ML.
ML Solution Monitoring, Maintenance and Security
24%Model Monitor and drift, retraining triggers, cost and performance, and IAM, VPC and encryption.