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SAS Certified Professional: AI & Machine Learning Mastery
Complete SAS Viya AI/ML Training with Real-World Case Studies & Certification Preparation.
Created byVeloxa Labs
Last updated 6/2026
English
What you'll learn
- Master the SAS Viya environment and tools
- Understand core AI and Machine Learning concepts
- Perform data cleaning, transformation, and feature engineering
- Build supervised models (Regression, Decision Trees, Random Forests, Gradient Boosting)
- Apply unsupervised learning techniques (Clustering, PCA, Association Rules)
- Develop deep learning models including CNNs and RNNs
- Evaluate and optimize model performance using advanced metrics
- Deploy machine learning models into production environments
- Monitor models and handle concept drift
- Solve real-world business problems using AI (churn prediction, fraud detection)
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Course content
7 sections • 31 lectures • 3h 43m total length
Requirements
- Basic understanding of statistics and mathematics
- Familiarity with programming concepts (any language)
- No prior SAS experience required (covered from basics)
- A computer with internet access
- Willingness to learn and practice hands-on exercises
Description
This course contains the use of artificial intelligence.
This comprehensive, industry-focused program is designed to help you master Artificial Intelligence and Machine Learning using the powerful SAS Viya ecosystem. Whether you are preparing for certification or aiming to build real-world AI solutions, this course provides a complete roadmap from fundamentals to advanced deployment strategies.
Built around a structured, modular approach, the course begins with core concepts such as AI fundamentals, SAS programming, and environment setup. It then progresses into critical data science workflows including data preparation, feature engineering, exploratory analysis, and visualization. You will gain hands-on experience implementing supervised and unsupervised learning techniques such as regression, decision trees, clustering, and dimensionality reduction.
As you advance, the course dives into deep learning using SAS tools, covering neural networks, CNNs, RNNs, and transfer learning. You will also learn how to deploy models into production environments, monitor their performance, and implement retraining strategies skills that are essential for modern AI professionals.
A key highlight of this course is its real-world case studies, including telecom churn prediction and financial fraud detection, allowing you to apply your knowledge in practical business scenarios. These case studies simulate real industry challenges and provide insights into end-to-end AI solution development.
This course is also aligned with professional certification pathways, helping learners confidently prepare for SAS AI & Machine Learning credentials.
At Veloxa Labs, we are committed to delivering cutting-edge, career-oriented learning experiences. Our mission is to empower individuals with future-ready AI and data science skills through practical, high-quality, and industry-aligned training programs.
Who this course is for:
- Aspiring Data Scientists and AI Engineers
- Business Analysts looking to transition into AI
- SAS users aiming to specialize in Machine Learning
- Students preparing for SAS AI & ML certification
- Professionals seeking practical, real-world AI skills