AWS Certified Machine Learning Engineer - Associate

Position yourself for in-demand technical ML roles. Beta registration opens August 13, 2024.

Beta exam overview

Category Associate
Exam duration 170 minutes
Exam format 85 questions
Cost 75 USD/10,000 JPY. 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

AWS Certified Machine Learning Engineer - Associate validates technical ability to implement ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles. Be among the first to earn this new certification when registration opens on August 13, 2024.

Interested in the beta exam?

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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.

Get to know the exam

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

Full details will be available on August 13th.


Refresh your AWS knowledge and skills

Enroll in digital courses where you need to fill gaps in knowledge and skills. All recommended courses are included in the exam prep plans in Step 3.


Review and practice for your exam

Note: AWS does not require you to take any specific AWS training as part of your exam prep.


Assess your exam readiness

Resources will be available on August 13th.

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.

AWS Certification uses beta exams to validate performance of exam questions before the questions are used on standard versions of an exam. An exam can go through the beta process before the exam is launched for the first time. AWS Certification can also complete a beta process when an exam content outline changes. Candidates who pass the beta exam will be among the first to hold the new certification.

You can find more information about beta exams on the Before Testing policy page. The section on “Beta exams” includes information regarding the differences between the beta version and the standard versions of an exam.