This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Machine Learning – Specialty 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 optimization

• Experience with ML and deep learning frameworks

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

What does it take to earn this certification?

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 responses. Additional information, such as the exam content outline and passing score, is in the exam guide.

Exam overview

Level: Specialty
Length: 180 minutes to complete the exam
Format: 65 questions; either multiple choice or multiple responses