AWS Certified Machine Learning Engineer - Associate (CMLEA) (certyfikacja)

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.

Who should earn 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.

How will the AWS Certified Machine Learning Engineer - Associate help my career?

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.

How is AWS Certified Machine Learning Engineer - Associate different from AWS Certified Machine Learning - Specialty?

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.

What certification(s) should I earn next after AWS Certified Machine Learning Engineer - Associate?

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