Earn three specialist-level certifications and automatically get a professional-level credential in artificial intelligence and machine learning. It’s a smart way to build your skill set and make yourself marketable in a field that's hungry for analytics and AI talent.
Program Courses
Machine Learning Using SAS® Viya®
2-DAY CLASS
This course, which is at the core of the SAS Viya Data Mining and Machine Learning curriculum, teaches you the theoretical foundation for techniques associated with supervised machine learning models. Learn how to analytically approach business problems – and use a business case study to understand each step of the analytical life cycle. This course uses Model Studio, the pipeline flow interface in SAS Viya that helps you prepare, develop, compare and deploy advanced analytics models.
Learn how to:
- Apply the analytical life cycle to a business need.
- Prepare and explore data for analytical model development.
- Create and select features for predictive modeling.
- Develop supervised learning models based on different techniques, from decision tree to support vector machines.
- Evaluate and select the best model based on business needs.
- Deploy and manage analytical models under production.
SAS® Visual Text Analysis in SAS® Viya®
2-DAY CLASS
This course, which enables you to use SAS Viya in a distributed computing environment, explores the five components of visual text analytics: parsing, concept derivation, topic derivation, text categorization and sentiment analysis. You’ll parse and analyze documents to find dominant themes and construct linguistic queries to satisfy specific information needs. You’ll also develop an integrated solution using information extracted from subject matter expert rules and machine learning results for model and rule-based topics and categories.
Learn how to:
- Use the point-and-click interface of Model Studio and SAS Visual Text Analytics.
- Interpret term maps and automatically identify key textual topics in your large document collections.
- Create robust models for categorizing the content according to specific needs.
- Create, modify and enable (or disable) custom concepts and test linguistic rule definitions with validation checks within the same interactive GUI.
- Extract individual instances of concepts from within documents.
- Create custom Boolean rules to categorize documents with respect to a categorical target variable and automatically modify those rules.
Deep Learning Using SAS® Software
1-DAY CLASS
Discover the essential components of deep learning, as well as how to build deep feedforward, convolutional and recurrent networks. Use neural networks to solve problems that include traditional classification, image classification and time-dependent outcomes. Explore practical methods used to enhance training data to produce better models, as well as a method for efficiently searching hyperparameters.
Learn how to:
- Define and understand deep learning and build models using deep learning techniques.
- Apply models to score (inference) new data.
- Modify data for better analysis results.
- Search the hyperparameter space of a deep learning model.
Forecasting Using Model Studio in SAS® Viya® 3.4
2-DAY CLASS
Get a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. Learn how to load data into memory and visualize the time series data to be modeled while introducing and implementing attribute variables. Use pipelines to generate forecasts and select champion pipelines – and discover how to incorporate large-scale forecasting practices. These include the creation of data hierarchies, forecast reconciliation, overrides and forecast model selection best practices.
Learn how to:
- Automatically create and fit custom forecast models using structured analytic workflows or pipelines.
- Visualize modeling data using attribute variables.
- Refine forecast models to improve forecast accuracy.
- Apply overrides-generated forecasts.
- Generate forecast data sets for deployment.
- Build and share custom pipelines for large-scale forecasting analyses.
Optimization Concepts for Data Science and Artificial Intelligence
1-DAY CLASS
This course focuses on linear, nonlinear and mixed-integer linear optimization concepts in SAS Viya. Discover how to formulate optimization problems and make formulations efficient by using index sets and arrays. The demonstrations in the course include examples of diet formulation and portfolio optimization. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts you've learned.
Learn how to:
- Identify and formulate appropriate approaches to solving various linear, mixed-integer linear and nonlinear optimization problems.
- Create optimization models commonly used in the industry.
- Solve optimization problems using the OPTMODEL procedure in SAS.
Software Covered
Schedule Options
Fit training into your lifestyle in one of two ways: an immersive schedule, where you'll attend courses over several weeks; or a flexible schedule, where you'll buy everything at once and take each course when you're ready.
Already SAS® certified?
Already SAS® certified?
If you already have a credential in SAS Predictive Modeler or SAS Machine Learning, you're ahead of the game. Learn how to save while earning your SAS Certified Professional: AI and Machine Learning credential.
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