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The AWS Certified Machine Learning - Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinee's ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.

Candidate must have 1-2 years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with:

• The ability to follow model-training best practices
• The ability to follow deployment and operational best practices
• The ability to express the intuition behind basic ML algorithms
• Experience performing basic hyperparameter optimization
• Experience with ML and deep learning frameworks

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• Domain 3: Modeling 36%
• Domain 2: Exploratory Data Analysis 24%
• Domain 1: Data Engineering 20%
• Domain 4: Machine Learning Implementation and Operations 20%

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Career Path

In case you want to specialize in more specific AWS services, you can opt for other Amazon specialty certifications like the AWS Certified Advanced Networking Specialty, the AWS Certified Alexa Skill Builder Specialty, or the AWS Certified Database Specialty if to name a few.

Reference: https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf

What is the duration of the AWS Certified Machine Learning - Specialty

• Language : English, Japanese, Korean, and Simplified Chinese
• Length of Examination: 130 minutes
• Passing Score: 720
• Number of Questions: 54
• Format: Multiple choices, multiple answers