AWS Certified Machine Learning Engineer - Associate

Position yourself for in-demand technical ML roles

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Prepare for the exam

Exam overview

Category Associate
Exam duration 130 minutes
Exam format 65 questions
Cost 150 USD. Visit Exam pricing for additional cost information, including foreign exchange rates
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

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.

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Prepare for the exam

Go from start to certified. Follow our Exam Prep Plan on AWS Skill Builder, our online learning center, so you can approach exam day with confidence.

1

Get to know the exam with exam-style questions

Follow the 4-step plan.

Review the exam guide.

Take the AWS Certification Official Practice Question Set to understand exam-style questions.

2

Refresh your AWS knowledge and skills

Enroll in digital courses where you need to fill gaps in knowledge and skills, practice with AWS Builder Labs, AWS Cloud Quest, and AWS Jam.

3

Review and practice for your exam

Review the scope of the exam. Explore each exam domain’s topics and how they align to AWS services. Reinforce your knowledge and identify learning gaps with exam-style questions and flashcards. Follow instructors as they walk through exam-style questions and provide test-taking strategies. Continue practicing with AWS Builder Labs and/or AWS SimuLearn.

4

Assess your exam readiness

Take the AWS Certification Official Pretest.

Key FAQs to help you get started

The ideal candidate for this exam has at least 1 year of experience in machine learning engineering or a related field and 1 year of hands-on experience with AWS services. Professionals who do not have prior machine learning experience can take the training available in the Exam Prep Plans and get started building their knowledge and skills.

Per the World Economic Forum Future of Jobs Report 2023, demand for AI and Machine Learning Specialists is expected to grow by 40%. However, 70% of North American IT leaders say they have the greatest difficulty filling AI/ML specialist roles. This certification can position you for in-demand machine learning jobs in AWS Cloud.

AWS Certified Machine Learning Engineer - Associate is a role-based certification designed for ML engineers and MLOps engineers with at least one year of experience in AI/ML.

AWS Machine Learning - Specialty is a specialty certification covering topics across data engineering, data analysis, modeling, and ML implementation and ops. It is more suitable for individuals with 2 or more years of experience developing, architecting, and running ML workloads on AWS.

For professionals looking to dive deeper into machine learning, we recommend AWS Certified Machine Learning - Specialty.

This certification is valid for 3 years. Before your certification expires, you can recertify by passing the latest version of this exam. Learn more about recertification options for AWS Certifications.