SAS Certified AI & Machine Learning Professional
SAS's professional ML and AI certification validates expertise in using SAS software for machine learning. Covers data preparation, model building, and deployment.
Provider
SAS Institute
Level
Professional
Duration
3–6 months
Cost
$250
Passing Score
68%
Validity
No expiry (permanent)
Salary Impact
+$15,000–$25,000 avg
Prerequisites
SAS programming basics
ML and statistics fundamentals
2+ years analytics experience
Exam Format
60 multiple-choice questions, 90 minutes, $250 USD
Exam Topics & Weights
Machine learning overview and concepts
12%
Data preparation
18%
Model development and selection
22%
Model evaluation and comparison
18%
Model deployment
12%
Performance monitoring
18%
8-Week Study Plan
Weeks 1-2
Focus: SAS environment and ML fundamentals
SAS Viya and Model Studio overview
ML algorithms and selection
SAS documentation
Weeks 3-4
Focus: Data preparation and feature engineering in SAS
SAS Data Integration Studio
Feature engineering techniques
Data quality assessment
Weeks 5-6
Focus: Model building with SAS procedures and algorithms
SAS Model Studio
Supervised and unsupervised learning
Hyperparameter tuning
Weeks 7-8
Focus: Model evaluation, validation, and deployment
Model evaluation metrics
Cross-validation strategies
Model Registry and deployment
Weeks 9-10
Focus: Practice exams and SAS best practices
SAS official practice exam
SAS Viya best practices
Real-world case studies
Exam Tips & Strategies
SAS certification is prestigious in enterprise, especially finance and healthcare
No expiry is a huge advantage—this certification lasts forever
The passing score is 68%, the lowest of the major certifications. That said, the exam is still challenging.
Model evaluation accounts for 18%—understand metrics and validation strategies deeply
SAS Viya is the modern platform. Focus on Viya and Model Studio, not legacy SAS/STAT procedures
SAS has strong market presence in regulated industries. This cert opens doors in finance and pharma
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