Building GenAI Application using LabVIEW LLM Libraries

Generative AI is changing the way engineers build, validate, and automate systems — and now you can bring those capabilities directly into LabVIEW.

In this hands-on course, you’ll learn step by step how to use the LabVIEW LLM Library to integrate large language models (LLMs) into your test, measurement, and automation applications. No AI background required — if you know the basics of LabVIEW, you can start building powerful GenAI applications.

Through 9 focused modules, you’ll go from fundamentals to advanced workflows:

• Understand the role of LLMs in engineering applications
• Apply model abstraction to switch between providers like OpenAI, Azure OpenAI, and Gemini
• Use embeddings to represent your own data
• Build Retrieval-Augmented Generation (RAG) pipelines to improve model accuracy
• Design knowledge-aware agents that can plan, reason, and interact with tools
• Prepare and manage data pipelines for reliable retrieval
• Add a modern chat interface to LabVIEW apps for intuitive user interaction
• Deploy secure offline models to protect sensitive data

By the end of this course, you’ll know how to design and deploy LabVIEW applications that are smarter, faster, and AI-enabled — ready to solve real engineering problems.

Whether you’re a LabVIEW developer, automation engineer, or technical lead, this course gives you the tools to integrate Generative AI directly into your workflows and future-proof your applications.