SAS AI for Machine Learning Engineers Subscription
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About this Subscription
This learning subscription begins with a tour through many applications of machine learning in business and moves into just-enough-statistics to enable you to use machine learning effectively and efficiently. Train and validate a wide variety of machine learning models in SAS. Scale from training a few models at a time to training, monitoring, and updating all the models that drive your business with ModelOps.
Learn how to:
- Identify the need for machine learning in business.
- Explain the relevance of statistics in machine learning.
- Identify important applications of supervised and unsupervised machine learning models.
- Relate statistics and computer science terminology.
- Prepare data for predictive analytics.
- Train, validate and test supervised machine learning models including decision trees, logistic regression, neural networks, gradient boosting, forests, and support vector machines.
- Evaluate and select the best model based on business needs.
- Deploy and monitor models with a ModelOps approach.
Courses Included
Applied Statistics for Machine Learning Associate Certification
1
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COURSE
SAS Certified Associate: Applied Statistics for Machine Learning SHOW LESS ︿As you prepare for the Applied Statistics for Machine Learning certification exam, you will develop a deep understanding of statistical and machine learning concepts as well as learn how to apply explanatory and predictive modeling techniques using SAS Viya.
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COURSE
Practice Exam: Applied Statistics for Machine Learning SHOW LESS ︿
Machine Learning Specialist Certification
2
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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
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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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
SAS ModelOps Specialist Certification
3
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COURSE
ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS® SHOW LESS ︿ -
COURSE
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 ︿
Specialty Topics
4
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COURSE
Agentic AI - How to with SAS® Viya® SHOW LESS ︿Learn to build, deploy, and monitor Agentic AI LLM-based applications using SAS Viya and the SAS Agentic AI Accelerator.Learn to build, deploy, and monitor Agentic AI LLM-based applications using SAS Viya and the SAS Agentic AI Accelerator.
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A Smarter Way to Unlock Unstructured Data: SAS RAM in Action SHOW LESS ︿The SAS Retrieval Agent Manager workshop teaches you how to build and automate retrieval-augmented generation (RAG) workflows (pipelines), covering essential steps like data ingestion from various unstructured sources, organizing data into collections, configuring embedding models and extraction tools, evaluating pipeline performance, and selecting optimal configurations.
You will learn to interact with data through a chat interface, create agents for advanced processing and automation, and set up workflow automations.
Overall, you will gain hands-on skills in building, evaluating, and automating enterprise retrieval-augmented generation solutions.
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AI Literacy
5
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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.
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Knowledge Badge
6
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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 Model Manager
- SAS Machine Learning
- SAS Intelligent Decisioning
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.
“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.”