SAS AI for Machine Learning Engineer Course Details
The SAS AI for Machine Learning Engineer course covers statistical methods, machine learning models using SAS Viya, and model management throughout the lifecycle. Specific skills taught include data preprocessing, model training, deployment, and performance monitoring.
Modeling Life Cycle for Data Scientists:
This course introduces essential statistical methods used by data scientists, with a focus on solving business problems.
Global Certification: SAS Certified Specialist: Statistics for Machine Learning
Statistics you need to know about machine learning:
The course provides an in-depth understanding of the statistical foundations of machine learning, using SAS Viya. This course clearly emphasizes the statistical basis of machine learning.
Machine Learning using SAS Viya:
The course focuses on the theory behind supervised machine learning models through demonstrations and professional case studies. It includes data preprocessing, model training, and deployment with SAS Viya's Model Studio, providing practical, hands-on experience with SAS Viya.
Global Certification:SAS Certified Specialist: Machine Learning Using SAS Viya
Managing Models in SAS Viya:
The course teaches how to manage models through their lifecycle, including creating, comparing, and identifying models using SAS, Python, and R. It also addresses model administration, testing, scheduling and monitoring in a production environment.
ModelOps: Governing AI and Machine Learning Models That Run Your Business with SAS:
The course explains how ModelOps can streamline the journey from data generation to model deployment and performance management, including SAS Container Runtime and SAS Model Risk Management.
Prerequisite:Managing Models in SAS Viya
Global Certification:SAS Certified ModelOps Specialis
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