AWS Certified Machine Learning - Specialty (MLS-C01) Exam Guide
Introduction
The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for
individuals who perform an artificial intelligence and machine learning (AI/ML)
development or data science role. The exam validates a candidate’s ability to design,
build, deploy, optimize, train, tune, and maintain ML solutions for given business
problems by using the AWS Cloud.
The exam also validates a candidate’s ability to complete the following tasks:
• Select and justify the appropriate ML approach for a given business problem.
• Identify appropriate AWS services to implement ML solutions.
• Design and implement scalable, cost-optimized, reliable, and secure ML
solutions.
Target candidate description
The target candidate should have 2 or more years of experience developing,
architecting, and running ML or deep learning workloads in the AWS Cloud.
Recommended AWS knowledge
The target candidate should have the following AWS knowledge:
• The ability to express the intuition behind basic ML algorithms
• Experience performing basic hyperparameter optimization
• Experience with ML and deep learning frameworks
• The ability to follow model-training best practices
• The ability to follow deployment best practices
• The ability to follow operational best practices
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