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Amazon Web Services (AWS)

AWS Machine Learning Engineer - Associate

The AWS Certified Machine Learning Engineer Associate validates that you can prepare data and build, train and deploy machine learning models on AWS, then monitor, secure and maintain them in production. It is held by machine learning engineers, MLOps engineers, data scientists and developers who put models into service.

Exams: MLA-C014 coursesValid for: 3 years
Overview

The certification is earned through the Machine Learning Engineer Associate exam, which AWS has updated since the MLA-C01 version, so confirm the current exam code when you book; it suits candidates with at least a year of hands-on work with Amazon SageMaker AI and related AWS machine learning services. Preparation draws on AWS Technical Essentials, DevOps Engineering on AWS, Practical Data Science with Amazon SageMaker and MLOps Engineering on AWS, with exam-style practice to bring it all together.

Your path to certification

Your path to certification

Prepare

Start from where you are; we help you assess your level.

Train

4 courses with an instructor

Sit the exam

MLA-C01

Stay current

Recertify within three years by passing the latest Machine Learning Engineer exam or earning the Generative AI Developer Professional.

Where you sit the exam

Where do you sit the exam? At our test centre

AWS Certification exams are delivered through Pearson VUE at our Authorised Test Centre in Mazzeh. We confirm the exact exam and version with you before you book.

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Training

Preparation courses

Stay current

Renewal and validity

Passing the latest exam or the Generative AI Developer Professional gives you three more years, and passing this exam also recertifies an AI Practitioner; alternatively, add one year in the final 90 days through AWS's online maintenance activities, which need an active AWS training subscription. Check AWS's current recertification policy before you plan, because requirements change.

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