AWS Certified Machine Learning Engineer - Associate validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles.
Recommended training for this certification
AWS does not require you to take any specific AWS training as part of your exam prep.
Recommended:
- Standard Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C01): includes only free resources.
- Enhanced Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C01): includes free resources. Additional AWS Skill Builder subscriber content, like AWS Builder Labs, game-based learning.
Exams
Exam overview:
- Category: Associate
- Exam duration: 130 minutes
- Exam format: 65 questions
- Cost: US $ 150,–
- Intended candidate: Individuals with at least 1 year of experience using Amazon SageMaker and other ML engineering AWS services
- Candidate role examples: backend software developer, DevOps engineer, data engineer, MLOps engineer, and data scientist
- Testing options: Pearson VUE testing center or online proctored exam
- Languages offered: English, Japanese, Korean, and Simplified Chinese
The exam includes these topics:
- Data preparation for ML models
- Feature engineering
- Model training
- Model performance and metrics
- Model integration and deployment
- Performance and cost optimization
- Security