SAS AI and Machine Learning Professional Subscription

Designed for data scientists who want to learn to apply AI and machine learning to business problems and understand each step of the analytical life cycle.
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Purchase this digital subscription to:
Digital courses
Unlimited access to digital courses and books.
Prepare for certification
Unlimited access to certification preparation materials.
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

1

  • 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.

    ENROLL

  • CERTIFICATION PREP

    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
    Enroll


    ENROLL

  • CERTIFICATION PREP

    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.

    ENROLL

SAS Natural Language Processing and Computer Vision Specialist Certification

2

  • COURSE

    SAS® Visual Text Analytics in SAS® Viya®
    SHOW LESS ︿


    ENROLL

  • COURSE

    Deep Learning Using SAS® Software
    SHOW LESS ︿


    ENROLL

  • CERTIFICATION PREP

    Practice Exam: Natural Language Processing and Computer Vision Specialist
    SHOW LESS ︿
    SAS Certified Specialist: Natural Language Processing and Computer Vision in SAS Viya

    ENROLL

  • CERTIFICATION PREP

    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.

    ENROLL

SAS Forecasting and Optimization Specialist Certification

3

  • COURSE

    Forecasting Using Model Studio in SAS® Viya®
    SHOW LESS ︿
    This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled. Attribute variables are introduced and implemented in the visualization. The course then covers the essentials of using pipelines for generating forecasts and selecting champion pipelines in a project. It also teaches you how to incorporate large-scale forecasting practices into the forecasting project. These include the creation of data hierarchies, forecast reconciliation, overrides, and best practices associated with forecast model selection.

    ENROLL

  • COURSE

    Optimization Concepts for Data Science and Artificial Intelligence
    SHOW LESS ︿


    ENROLL

  • CERTIFICATION PREP

    Practice Exam: Forecasting and Optimization Using SAS Viya
    SHOW LESS ︿
    Practice Exam: Forecasting and Optimization Using SAS Viya

    ENROLL

  • CERTIFICATION PREP

    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.

    ENROLL

SAS ModelOps Specialist Certification

4

  • COURSE

    ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS®
    SHOW LESS ︿


    ENROLL

  • COURSE

    Managing Models in SAS® Viya®
    SHOW LESS ︿


    ENROLL

  • CERTIFICATION PREP

    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.

    ENROLL

  • CERTIFICATION PREP

    Practice Exam: Managing the Model Life Cycle Using ModelOps
    SHOW LESS ︿
    Practice Exam: Managing the Model Life Cycle Using ModelOps

    ENROLL

Advanced and Specialty Topics

5

  • COURSE

    Advanced Machine Learning Using SAS® Viya®
    SHOW LESS ︿


    ENROLL

  • COURSE

    Using Python and R with SAS® Viya® for Advanced Analytics
    SHOW LESS ︿


    ENROLL

  • COURSE

    Advanced Analytics for IoT Using SAS® Event Stream Processing
    SHOW LESS ︿


    ENROLL

  • COURSE

    Network Analysis and Network Optimization in SAS® Viya®
    SHOW LESS ︿


    ENROLL

  • COURSE

    Tree-Based Machine Learning Methods in SAS® Viya®
    SHOW LESS ︿


    ENROLL

AI Literacy

6

  • COURSE

    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.

    ENROLL

  • COURSE

    Data Literacy in Practice
    SHOW LESS ︿
    In this self-paced course, you will discover practical skills to explore and visualize data. You will follow a small business owner's data-driven journey to improve company performance. Using this real-world context, you'll connect knowledge to strategies you can act on. The course is for everyone, no matter where you are on your data literacy journey. By focusing on conceptual and practical understanding rather than distracting mathematical jargon, learners feel supported and encouraged throughout the process. Whether you are a 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.

    ENROLL

  • COURSE

    Generative AI Using SAS®
    SHOW LESS ︿
    Generative Artificial Intelligence (GenAI) is a rapidly developing area of machine learning, with application across business, government, and academia. In this course, you will learn about different types of GenAI and see examples of how SAS can enhance your efforts to make the most of these techniques.

    New lessons will be added to this course periodically as this field is rapidly developing. We expect that each lesson can be completed in about an hour, and you can work at your own pace to complete the material. As we release new lessons, you might lose progress through the material that you have completed, so please make a note of where you are leaving off before exiting the course.

    ENROLL

  • COURSE

    Responsible Innovation and Trustworthy AI
    SHOW LESS ︿
    This course is designed for anyone who wants to gain a deeper understanding about the importance of trust and responsibility in AI, analytics, and innovation. The content is especially geared to those who are making business decisions based on machine learning and AI systems and those who are designing and training AI systems.

    Whether you are a programmer, an executive, an advisory board member, a tester, a manager, or an individual contributor, this course helps you gain foundational knowledge and skills to consider the issues related to responsible innovation and trustworthy AI. Empowered with the knowledge from this course, you can strive to find ways to design, develop, and use machine learning and AI systems more responsibly.

    We expect that each module can be completed in under an hour, and you can work at your own pace to complete the material. As we release new modules, you might lose progress through the material that you have completed, so please make a note of where you are leaving off before exiting the course.

    ENROLL

Knowledge Badge

7

  • KNOWLEDGE BADGE

    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.

    ENROLL

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.

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.”

Tony Mayo, SAS Customer