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 Berlin — 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.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
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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