AI and Machine Learning Professional
The SAS AI and Machine Learning Certification Program is designed for data professionals who want to learn artificial intelligence and machine learning techniques using SAS Viya. Students learn to train and deploy supervised machine learning models, classify image data and analyze text with deep learning, uncover hidden insights within unstructured data, develop and score time series forecasting models, and perform several useful optimization techniques in SAS Viya.
The coursework and preparation sessions help prepare candidates for the three exams needed to earn a SAS Certified Professional: Artificial Intelligence and Machine Learning credential.
This course can help prepare you for the following certification exams: SAS Certified Specialist: Machine Learning Using SAS Viya 3.4, SAS Certified Specialist: Natural Language and Computer Vision, and SAS Certified Specialist: Forecasting and Optimization.Learn how to
Who should attendProgrammers, business analysts, or statisticians with experience using SAS Viya and writing programs in SAS or other programming languages
It is recommended that you have prior programing experience using SAS, Python, or R. You can gain programming knowledge in the SAS Programming 1: Essentials course. Candidates should also have some experience with the visual interfaces in SAS Viya. You can learn about those interfaces in the SAS Visual Statistics on SAS Viya: Interactive Model Building or SAS Visual Analytics 1 for SAS Viya: Basics course. It is helpful to have conceptual understanding of regression models, which you can gain by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. It is also helpful to have conceptual understanding of neural network models, which you can gain by completing the Neural Networks: Essentials or Neural Network Modeling course.
The comprehensive curriculum includes the following courses: