Certification Pathway
Designed for individuals who wish to showcase their AI and Analytics Talent using open source and SAS tools to garner insight from data. Candidates exhibit skills in Machine Learning, Natural Language Processing, Computer Vision, and Model Forecasting and Optimization.
Candidates who become a SAS Certified Professional: AI and Machine Learning will be required to pass three exams:
Show you have proficiency with data sources, building models, model assessment and deployment.
*Candidates who hold the SAS Certified Predictive Modeler Using SAS Enterprise Miner (version 7 or higher) credential do not need to take this exam.
Show
you have proficiency with data visualization, pipeline modeling, hierarchical
forecasting, post-forecasting functionality, and optimization.
Show you have proficiency with loading and exploring data, identifying text patterns using natural language processing techniques, and identifying text patterns using computer vision techniques.