Generative AI Integration in SAS

Generative artificial intelligence is reshaping how data professionals work, but connecting these powerful models with established analytical systems requires a specific skill set. This course bridges that gap by showing you how to conceptualize and implement generative AI solutions directly within your analytical environment. Through clear, step-by-step written explanations, you will transition from understanding basic machine learning concepts to executing modern AI workflows. You will learn how to securely interact with large language models, automate routine programming tasks, and enhance your data pipelines. What you'll learn: - Understand the foundational concepts of neural networks, transformers, and generative AI models. - Apply prompt engineering techniques to get precise, structured outputs for data analysis. - Configure API connections to integrate external large language models with your SAS programs. - Explore retrieval-augmented generation (RAG) patterns to ground AI responses in your private datasets. - Automate code generation, query building, and data documentation tasks. - Practice critical data privacy and security protocols when working with external AI services. This course begins with essential definitions and core terminology before moving into practical integration patterns and code-based examples. It is designed for data analysts, programmers, and business intelligence professionals who want to modernize their workflows. No prior experience with artificial intelligence or machine learning is required. Start reading today to bring the power of generative AI to your data analytics.