Validates expertise in building, training, tuning, and deploying machine learning models on AWS.
Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.
Exam Summary
TIME
180
Minutes
TOTAL
65
Questions
PRICE
$300
USD
VALID
3
Years
PASS
750
/1000
Prerequisites (Optional)
Recommended experience before taking this exam
Recommended: 1-2 years of experience with ML/deep learning workloads on AWS
Understanding of basic ML algorithms
Exam Domains & Topics
Domain 1
20%
Data Engineering
Create data repositories for ML
Identify and implement data ingestion and transformation solutions
Domain 2
24%
Exploratory Data Analysis
Sanitize and prepare data for modeling
Perform feature engineering
Analyze and visualize data for ML
Domain 3
36%
Modeling
Frame business problems as ML problems
Select the appropriate model(s) for a given ML problem
Train ML models
Perform hyperparameter optimization
Evaluate ML models
Domain 4
20%
Machine Learning Implementation and Operations
Build ML solutions for performance, availability, scalability, and fault tolerance
Recommend and implement ML services and features
Apply basic AWS security practices to ML solutions
Deploy and operationalize ML solutions
AWS Certified Machine Learning - Specialty (MLS-C01) - Complete Exam Syllabus & Study Guide | Cloud Practice Test
