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.


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