This course introduces the programming capabilities of the SAS Viya platform for learners who want to work directly with code to manage, process, and analyze data. Learners use SAS Studio to write, execute, and manage programs that run in both the SAS Compute Server and the high‑performance SAS Cloud Analytic Services (CAS) environment. The course explains when and how to leverage in‑memory, parallel processing to improve performance for large or complex data workloads. Learners explore CAS‑enabled programming, understand how data is accessed and loaded through caslibs, and learn best practices for optimizing code execution. The course also highlights SAS Viya’s multi‑language architecture, showing how SAS integrates with Python, R, SQL, and REST APIs to support flexible, collaborative workflows. By the end of the course, learners can confidently describe how SAS Viya executes code, accelerates analytics, and supports modern, scalable programming practices in real‑world analytics environments.

Cloud Based Analytics and AI Programming

Cloud Based Analytics and AI Programming
This course is part of Foundations of Cloud Analytics Specialization

Instructor: Stacey Syphus
Access provided by Omantel
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Write and execute SAS and Python programs in SAS Studio using the Compute Server and CAS.
Use caslibs to load, access, and manage in‑memory data for high‑performance analytics.
Optimize code by choosing compute vs. CAS and leveraging parallel, in‑memory processing.
Integrate Python, R, SQL, and REST APIs in SAS Viya in a multi‑language analytics workflow.
Skills you'll gain
Tools you'll learn
Details to know

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Assessments
4 assignments
Taught in English
Recently updated!
April 2026
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This course is part of the Foundations of Cloud Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 3 modules in this course
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