AWS MLS-C01AWS Certified Machine Learning – Specialty
Build and deploy ML solutions on AWS
CertPath Score
9
/10
About this certification
The AWS ML Specialty validates the ability to design, implement, deploy, and maintain machine learning solutions on AWS. It covers data engineering, exploratory data analysis, modeling, and ML implementation using AWS services like SageMaker.
What you'll validate
- ✓Data engineering for ML
- ✓EDA and feature engineering
- ✓Modeling with SageMaker
- ✓Model deployment and monitoring
- ✓ML security and compliance
Pros & Cons
Advantages
- +Most recognized cloud ML certification
- +Strong salary impact
- +AWS SageMaker is the leading ML platform
Disadvantages
- −AWS-specific
- −Requires genuine ML knowledge — not just cloud
- −One of the harder specialty exams
Who it's for
Best for
- →Data scientists working in AWS environments
- →ML engineers deploying models on AWS
Not ideal for
- ×Beginners to ML
- ×Those without AWS experience
Career paths this unlocks
Study Resources
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Register for the exam
Purchase directly on AWS Training — benefit codes sometimes available via AWS events
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Jobs for AWS MLS-C01 holders
AWS MLS-C01 holders report $10k–$30k+ salary uplift on average.
LinkedIn Jobs
Updated daily
Indeed
Dice (tech roles)
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Job links open external sites. Search results are live and not curated by CertPath.
Quick Facts
- Exam Cost
- $300
- Exam Duration
- 180 minutes
- Questions
- ~65
- Passing Score
- 750/1000
- Exam Format
- Multiple Choice
- Study Time
- ~200 hours
- Validity
- 3 years
- Salary Impact
- Strong ($10k–$30k+ uplift reported)
Prerequisites
- !1+ years ML/data science experience
- !AWS SAA or equivalent
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