| On-demand webinar, Deep Learning

5 steps to start using deep learning in machine vision

Learn how to bring deep learning into real machine-vision applications with a clear, practical roadmap. Since 2017, MVTec has delivered production-ready AI that runs reliably on the factory floor.

In this webinar, Product Manager Ulf Schulmeyer shows you the five key steps that help engineers, quality teams, and decision-makers adopt deep learning with lower risk and faster results.

What you’ll learn

The 5 essential steps to implement deep learning in machine vision industrial examples and best practices from real production environments. How no-code tools help you build your first AI model quickly.

Who should watch?

Machine vision, automation, and PLC engineers, quality and production leads aiming to improve yield and reduce scrap operations and decision-makers looking to scale AI confidently.

About the speaker

Ulf Schulmeyer, Dipl.-Ing., is Product Manager for MVTec MERLIC with 20+ years of experience turning complex technologies into intuitive industrial solutions.

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