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Overview

The AWS Certified Machine Learning - Specialty credential helps organisations identify and develop talent with critical skills for implementing cloud initiatives. It validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Who should take this exam?

AWS Certified Machine Learning - Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. Before you take this exam, we recommend you have:

  • At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud

  • Ability to express the intuition behind basic ML algorithms

  • Experience performing basic hyperparameter optimisation

  • Experience with ML and deep learning frameworks

  • Ability to follow model-training, deployment, and operational best practices

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AWS Training

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Exam Review

To earn this certification, you’ll need to take and pass the AWS Certified Machine Learning – Specialty exam (MLS-C01). The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as the exam content outline and passing score, is in the exam guide.

Review sample questions that demonstrate the format of the questions used on this exam and include rationales for the correct answers.

AWS Whitepapers & FAQs

AWS Whitepapers

AWS FAQs

Schedule an Exam

To get certified, schedule your AWS Certified Machine Learning - Specialty exam directly on the AWS website.


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