AWS Certified Machine Learning Engineer - Associate (MLA-C01)
The AWS Certified Machine Learning Engineer - Associate certification validates your ability to build and deploy ML solutions on AWS.
Prepare with practice exams covering SageMaker, ML pipelines, and model deployment.
Exam Domains Covered
- Domain 1: Data Preparation for ML (28%) - Prepare and process data for ML models
- Domain 2: ML Model Development (26%) - Build and train ML models
- Domain 3: Deployment and Orchestration (22%) - Deploy and manage ML models in production
- Domain 4: ML Solution Monitoring and Maintenance (24%) - Monitor and optimize ML solutions
How the 30-Day Path Works
Phase 1: Foundation (Days 1-10)
Build your ML fundamentals with daily quizzes covering SageMaker, data preparation, and feature engineering.
Phase 2: Deep Dive (Days 11-20)
Master model training, hyperparameter tuning, and ML pipelines with focused practice.
Phase 3: Mastery (Days 21-30)
Complete model deployment, monitoring, and take full-length practice exams to test your readiness for MLA-C01.
Full-Length Practice Exams
Test your knowledge with 2 practice exams (65 questions each) that simulate the real AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam experience.
Earn Your Certificate
Upon completing the 30-day path and achieving 80% or higher on practice exams, earn your NestedCerts completion certificate for AWS Certified Machine Learning Engineer - Associate (MLA-C01).
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