Amazon Web Services
AWS Machine Learning Specialty
AWS Certified Machine Learning – Specialty (MLS-C01)
AWS's specialty certification for data scientists and ML engineers who build, train, tune, and deploy machine learning models on AWS. Validates deep knowledge of SageMaker, the ML lifecycle, and AWS data services.
What's on the exam
MLS-C01 Exam Guide
Data Engineering
20%Data repositories for ML (S3, lakes) · Data ingestion solutions (Kinesis, Glue) · Data transformation pipelines · Batch vs. streaming processing
Exploratory Data Analysis
24%Sanitizing and preparing data · Feature engineering · Handling missing data and outliers · Visualization and descriptive statistics · Labeling and ground truth
Modeling
36%Framing business problems as ML problems · Model selection (built-in algorithms, deep learning) · Training, tuning, and hyperparameter optimization · Evaluation metrics and validation · Overfitting, underfitting, and regularization
Machine Learning Implementation and Operations
20%Deploying and operationalizing models (SageMaker endpoints) · Performance, availability, and scaling · Security for ML solutions · Monitoring, retraining, and A/B testing · Choosing between AI services and custom models
Program in development
We're building a blueprint-complete program for this exam. Meanwhile, explore live programs across 6 exam.
Explore programs →