Can machines think like engineers? With AI for Manufacturing, they can — spotting defects, forecasting downtime, optimizing yield, and learning from every part, process, and production line.
Our instructor-led courses bring artificial intelligence into the factory floor, from predictive maintenance and quality control to adaptive robotics and digital twins. No fluff — just hands-on experience with the models and frameworks that make smart factories possible.
Train live online through an interactive remote desktop, or join live onsite sessions in Namur — delivered at your plant or a NobleProg training center, with labs tuned to real industrial data and operational challenges.
Whether you're modernizing legacy systems or scaling Industry 4.0 initiatives, this training gives engineers, analysts, and tech leaders the confidence to integrate intelligence at every level of production.
Also referred to as Intelligent Manufacturing, Smart Factory AI, or Industrial AI, this course track transforms AI from a buzzword into a backbone for industrial performance.
NobleProg – Your Local Training Provider
Namur, Hotel de Ville
NobleProg Namur, Rue de Fer, 48 , Namur, belgium, 5000
Namur est une ville francophone du Belgique, capitale de la Wallonie depuis 1986, et chef-lieu de la province de Namur. Occupé dès le Néolithique, le confluent de la Sambre et de la Meuse a vu naître la cité romaine au début de notre ère. Ancien fief des Comtes de Namur, rattaché à la maison du Luxembourg puis à l'empire habsbourgeois, la citadelle de Namur fut l'enjeu de nombreux sièges au cours des époques. Malgré les dégâts subis par les conflits, la ville conserve un riche patrimoine mobilier et immobilier. Aujourd'hui capitale régionale, la ville est le siège du Parlement de Wallonie, du Gouvernement wallon et du Service public de Wallonie, mais également la ville hôte du Festival international du film francophone, du festival d'arts forains Namur en Mai, du Festival Verdur Rock.
Industrial computer vision with AI is transforming how manufacturers and QA teams detect surface defects, verify part conformity, and automate visual inspection processes.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level QA teams, automation engineers, and developers who wish to design and implement computer vision systems for defect detection and inspection using AI techniques.
By the end of this training, participants will be able to:
Understand the architecture and components of industrial vision systems.
Build AI models for visual defect detection using deep learning.
Integrate real-time inspection pipelines with industrial cameras and devices.
Deploy and optimize AI-powered inspection systems for production environments.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI-powered predictive maintenance applies machine learning and data analytics to forecast equipment failures and optimize maintenance schedules. It transforms reactive maintenance models into proactive strategies, enabling better uptime, cost reduction, and asset longevity.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement AI-driven predictive maintenance solutions in industrial environments.
By the end of this training, participants will be able to:
Understand how predictive maintenance differs from reactive and preventive maintenance strategies.
Collect and structure machine data for AI-powered analysis.
Apply machine learning models to detect anomalies and predict failures.
Implement end-to-end workflows from sensor data to actionable insights.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises and case studies.
Live demonstration and practical data workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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