SAS AI and Machine Learning Professional Subscription
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Digital courses Unlimited access to digital courses and books. |
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Prepare for certification Unlimited access to certification preparation materials. |
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Shareable digital badges Earn a digital badge for each completed course. |
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Hands-on learning and practice Get Full access to SAS software to practice as you learn. |
About this Subscription
The AI and Machine Learning Professional program includes five artificial intelligence and machine learning courses. The paid learning subscription also includes 70 hours of cloud software access to practice and the ability to earn five digital course badges in a 12-month license. You will learn essential data science skills, including machine learning, natural language and computer vision, and forecasting and optimization.
Learn how to:
- Apply the analytical life cycle to business need.
- Preprocess data and perform feature engineering.
- Create supervised machine learning models and assess model performance.
- Deploy models into production.
- Analyze text and image data to recognize patterns.
- Define and understand deep learning and build models using computer vision techniques.
- Use pipelines to generate forecast and select champion pipelines.
- Identify and solve optimization problems.
It is recommended that you have prior programming 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 on the SAS Viya. platform You can learn about those interfaces in the course SAS Visual Statistics in SAS Viya: Interactive Model Building or SAS Visual Analytics 1 for SAS Viya: Basics. It is helpful to have a 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 a conceptual understanding of neural network models, which you can gain by completing the course Neural Networks: Essentials or Neural Network Modeling.
Courses Included
SAS Machine Learning Specialist Certification
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COURSE
Machine Learning Using SAS® Viya® SHOW LESS ︿This course discusses the theoretical foundation for techniques associated with supervised machine learning models. A series of demonstrations and practices is used to reinforce all the concepts and the analytical approach to solving business problems. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, by illustrating data exploration, data preprocessing, feature selection, model training and validation, model assessment, and scoring. This course is the core of the SAS Viya Data Mining and Machine Learning curriculum. It uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data.
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COURSE
Practice Exam: SAS Viya Supervised Machine Learning Pipelines SHOW LESS ︿This Certification is for data scientists who create supervised machine learning models using pipelines in SAS Viya. Successful candidates should be familiar with SAS Visual Data Mining and Machine Learning software and be skilled in tasks such as:- Preparing data and feature engineering
- Creating supervised machine learning models
- Assessing model performance
- Deploying models into production
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COURSE
SAS Certified Specialist: Machine Learning Using SAS Viya SHOW LESS ︿In preparation for the SAS Viya Supervised Machine Learning Pipelines certification exam, you will learn use SAS Visual Data Mining and Machine Learning software to prepare data and feature engineering; create supervised machine learning models; assess; model performance; and deploy models into production.
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SAS Natural Language Processing and Computer Vision Specialist Certification
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Practice Exam: Natural Language Processing and Computer Vision Specialist SHOW LESS ︿ -
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SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya SHOW LESS ︿In preparation for this exam, you will learn how to leverage the natural language processing and computer vision functionality of Model Studio in SAS Viya including loading and exploring data, identifying text patterns using both natural language processing and computer vision techniques.
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SAS Forecasting and Optimization Specialist Certification
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Practice Exam: Forecasting and Optimization Using SAS Viya SHOW LESS ︿ -
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SAS Certified Specialist: Forecasting and Optimization Using SAS Viya SHOW LESS ︿In preparation for the SAS Viya Forecasting and Optimization certification exam, you will learn how to leverage the forecasting functionality of Model Studio in SAS Viya including data visualization, pipeline modeling, hierarchical forecasting, and post-forecasting functions. You will also learn how to formulate and solve linear, nonlinear, and mixed integer linear optimization problems using the OPTMODEL procedure in SAS Viya.
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SAS ModelOps Specialist Certification
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COURSE
ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS® SHOW LESS ︿ -
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SAS Certified ModelOps Specialist SHOW LESS ︿In preparation for this exam, you will learn how to define the ModelOps framework, develop model proposals, develop and manage models, and deploy models. You will also learn how to execute multiple production steps including preprocessing, scoring, post-processing, business actions, and performance monitoring.
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Practice Exam: Managing the Model Life Cycle Using ModelOps SHOW LESS ︿
Advanced and Specialty Topics
AI Literacy
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Data Literacy Essentials SHOW LESS ︿This course is for anyone interested in learning how to use data in meaningful ways. It is designed as an introductory course to data literacy, starting with the basics: what is data, what does it mean to be data literate, and why is it important in today’s world?
This self-paced course follows the journeys of a concerned parent, a small business owner, and a public health expert, all of whom rely on data to navigate the COVID-19 pandemic. It connects skills we already use to strategies for engaging with data in more intentional and meaningful ways.
Whether you are an advanced high school student, a K-12 educator, a post-secondary student or educator, or an independent learner hoping to reskill or upskill, this course is for you.
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Knowledge Badge
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COURSE
AI Foundations Knowledge Badge SHOW LESS ︿To earn the AI Foundations Knowledge Badge, you must pass an open-book multiple-choice assessment covering the importance of trustworthy and responsible practices in AI, analytics, and innovation.You will display foundational knowledge and skills to consider issues related to responsible innovation and trustworthy AI, including identifying unwanted biases, applying principles of responsible innovation, and understanding how SAS technologies address these issues. You will show your understanding of the foundational knowledge of Generative AI and its capabilities, limitations, applications and how SAS tools can be leveraged to drive business value while addressing the risks and challenges of this transformative technology.The badge is intended for individuals using, designing, and monitoring AI systems.
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SAS Products Covered
- SAS Viya
- SAS Visual Text Analytics
- SAS Machine Learning
- SAS Visual Forecasting
- SAS Optimization
- SAS Model Manager
- SAS Visual Statistics
- SAS Event Stream Processing
- SAS Analytics Platform
Digital Badges
| Earn badges as you complete courses, pass knowledge assessments or certification exams. Then showcase your achievements to colleagues potential employers, and your social networks. |  |
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Certification Preparation
When you complete the courses in this subscription, you will have the demonstrated skills necessary to prepare you to earn the following credentials. After earning all three credentials, you will be awarded the SAS Certified AI and Machine Learning Professional credential.
“I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”