Specialty certification for machine learning engineers on AWS. Validates ability to design, implement, deploy, and maintain ML solutions using SageMaker and other AWS AI/ML services.
AWS Machine Learning Specialty (MLS-C01) is a senior-level credential best pursued once you already have hands-on experience in this field — it validates depth employers screen for at senior and lead levels, with typical compensation in the $145K–$180K range.
Specialty certification for machine learning engineers on AWS. Validates ability to design, implement, deploy, and maintain ML solutions using SageMaker and other AWS AI/ML services.
Key topics covered: Data engineering for ML, Exploratory data analysis, Modeling techniques, ML implementation & operations, AWS ML services (SageMaker, Rekognition, Comprehend).
Best suited for: Data scientists and ML engineers with 1+ year of ML experience on AWS.
Common career paths: ML Engineer, Data Scientist, AI/ML Architect, SageMaker Specialist.
Data scientists and ML engineers with 1+ year of ML experience on AWS.
Full step-by-step roadmap coming soon. See the roadmap page for updates.
ML EngineerData ScientistAI/ML ArchitectSageMaker Specialist
Specialty certification for machine learning engineers on AWS. Validates ability to design, implement, deploy, and maintain ML solutions using SageMaker and other AWS AI/ML services. offered by Amazon Web Services, focused on Data & AI.
AWS Machine Learning Specialty (MLS-C01) is issued by Amazon Web Services.
AWS Machine Learning Specialty (MLS-C01) is classified as Advanced-level. It generally assumes several years of hands-on professional experience.
The AWS Machine Learning Specialty (MLS-C01) exam costs $300. Always confirm current pricing on the official Amazon Web Services certification page, as fees change periodically.
Professionals holding AWS Machine Learning Specialty (MLS-C01) commonly report compensation in the $145K–$180K range, though actual pay varies by employer, geography, and total experience.
AWS Machine Learning Specialty (MLS-C01) is categorized under Data & AI on CertPlanet, alongside other related certifications you can compare directly.
That depends on your current experience level and goals — as an Advanced-level credential, it's a significant time investment best suited to professionals who already have hands-on experience and want formal recognition for it.
See the dedicated comparison page for AWS Machine Learning Specialty (MLS-C01) to view it side-by-side against alternative certifications in Data & AI.
Registration happens directly through Amazon Web Services's official certification portal, linked from this page.
A structured, step-by-step study roadmap for AWS Machine Learning Specialty (MLS-C01) is available on this site, built around the exam's actual focus areas rather than a generic study checklist.