Welcome

Welcome to the official Workers for LabVIEW Training Course. This course will guide you through the fundamental concepts of the framework, equipping you with the knowledge to develop modular, scalable, and maintainable LabVIEW applications.

While the material is designed for a 2-day in-person classroom experience, it can also be used as a self-paced, print-at-home learning resource. Simply follow the course manual and complete the structured exercises at your own pace.

Course Description

The course consists of a conceptual manual and 12 hands-on exercises that build progressively on one another. Each exercise demonstrates the practical application of key concepts discussed in the manual.

The course is divided into two main parts:

1️⃣ Part 1: Basics and Fundamentals

This section introduces the Workers for LabVIEW framework, focusing on its four design pillars and the role of Workers and their components. You will learn:

• How to combine multiple Workers to form a multi-process, asynchronous LabVIEW application.

• How to create and use Local and Public APIs to facilitate communication between Workers.

• How to utilize core development tools, including the Workers Debug Server.

Note: LabVIEW Object-Oriented Programming (LVOOP) is not covered in detail in this section. However, by the end of Part 1, you will be able to develop multi-process, QMH-based LabVIEW applications in a scalable and modular way—sufficient for many real-world projects.

2️⃣ Part 2: Advanced LVOOP Features

Building on the foundations from Part 1, this section explores the LVOOP capabilities of the framework and demonstrates how they can enhance application development. Topics include:

• Class inheritance and overriding framework API VIs.

• Creating and using Worker base classes.

• Extending and overriding base class Message Handling Loop (MHL) cases.

• Developing Public API abstractions for Workers, enabling the creation of Hardware Abstraction Layers (HALs).

Note: Prior LVOOP experience is not required, but familiarity with object-oriented programming concepts will help. Basic LVOOP concepts will be introduced as needed, and further independent learning is encouraged to deepen your understanding.

Course Goals

Upon completion of this course, you will be able to:

✅ Understand the Workers for LabVIEW framework and its four design pillars, enabling you to develop modular, scalable, and maintainable LabVIEW applications using the QMH design pattern.

✅ Design and implement multi-process LabVIEW applications by combining multiple Workers into a hierarchical structure and enabling asynchronous priority-based communication.

✅ Create Local and Public Worker APIs to ensure a modular, decoupled architecture, allowing for reusable Worker modules that can be shared across projects.

✅ Leverage LVOOP features, such as inheritance, abstraction, and dynamic dispatch, to minimize code duplication, maintain a clean architecture, and develop HAL-based API abstractions.

✅ Utilize the Workers Debug Server to monitor, debug, and troubleshoot applications in real-time using the Application Manager and Message Logs.

✅ Employ the framework’s scripted tools to automate Worker creation, visualize Worker call-chain hierarchies, and modify Worker properties using QuickDrop shortcuts.

✅ Apply best practices for scalable architectures, using hierarchical structures, loose coupling, and plug-in capabilities to improve flexibility and reliability.

✅ Gain hands-on experience through guided exercises and learn how to create Public Worker APIs that can be called from external LabVIEW code or from applications such as NI TestStand.

Course Prerequisites

It is recommended that participants have a basic understanding of LabVIEW development, including concepts covered in:

• NI LabVIEW Core 1, Core 2, and Core 3 courses, or...

• ...experience developing applications using the QMH design pattern

Prior knowledge of LVOOP is not required but will be beneficial. Familiarity with object-oriented concepts will help optimize your development experience with the framework.

ALT

Workers for LabVIEW course pre-requisites

What you need to get Started

To complete this training course, you will need the following:

·  LabVIEW 2017 or later
·  Workers SDK v5.0 (download here: https://www.vipm.io/package/sc_workers)
·  Workers 5.0 Training Course Manual (see below)
·  Workers 5.0 Training Course Exercises (see below)

🚀 Ready to Get Started?

If you’re looking to streamline your LabVIEW development, improve scalability, and adopt a structured, modular approach, this course is the perfect place to start.

Begin the training course today: Download the PDFs below. 👇