Build a Co-Pilot for Industrial Process Monitoring and Quality Control

Powered by AI, co-pilots are revolutionizing the way industrial workers perform manual tasks, significantly improving operational efficiency and quality. This course will demonstrate how intelligent assistants use computer vision and natural language processing to monitor and optimize repetitive processes. These processes are often defined by Standard Operating Procedures, step-by-step instructions that are essential in maintaining consistency and quality in industrial settings. Integrating co-pilots into these industrial processes can help guide workers through tasks and identify errors in real-time, enhancing productivity and yields.
In this hands-on session, you’ll learn how to build industrial co-pilots with Vision Language Models (VLMs) and Large Language Models (LLMs). Plus, you’ll explore how to customize and optimize AI models for any use case, process, and industry.
Prerequisite(s):

Basic understanding of AI, NVIDIA Pre-trained models, and Python.