AWS Certified Machine Learning Engineer - Associate

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.