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AWS CERTIFICATION

AWS Certified Machine Learning - Specialty

This certification allows businesses to hire employees with essential requirements of carrying out some critical cloud activities on AWS cloud. AWS Certified Machine Learning – Specialty status attests to one’s proficiency in creating, honing, optimizing, and deploying machine learning (ML) models on the platform.

AWS Certified Machine Learning - Specialty

Who should take this exam?

AWS Certified Machine Learning – Specialty is designed for those with more than a year of experience building, architecting, or executing machine learning/deep learning workloads on the AWS Cloud. These people often work in development or data science roles. 

It is recommended to have the following before taking up the course: 

  • ML or deep learning workloads have been developed, architected, and operated in the AWS Cloud for at least two years. 
  • Being able to explain the logic behind simple machine learning algorithms 
  • Knowing fundamental hyperparameter optimization 
  • Experience and familiarity with machine learning and deep learning frameworks 
  • The capacity to adhere to model deployment, training, and operational best practices

What does it take to earn this certification?

You must take and pass the AWS Certified Machine Learning – Specialty test to obtain this credential (MLS-C01). Multiple-choice and multiple-answer question types are included in the test. The test guide contains further details, including the exam’s list of topics and the passing score.

Download the exam guide »

Examine example questions that show the structure of the questions asked on this test and provide justifications for the right responses.

Download the sample questions »

Exam overview

Level: Specialty
Length: 180 minutes to complete the exam
Cost: 300 USD
Visit Exam pricing for additional cost information.

Format: 65 questions; either multiple choice or multiple response
Delivery method: Pearson VUE and PSI; testing center or online proctored exam

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