Industrial Computer Vision with AI Training in Copenhagen

Industrial Computer Vision with AI Training in Copenhagen, Denmark

This course provides a hands-on and application-oriented approach to Computer Vision (CV) with AI techniques in industrial environments.

Enroll Now

Industrial Computer Vision with AI Training is a professional training program delivered by ProgNXT in Copenhagen, Denmark. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Industrial Computer Vision with AI Training course with hands-on, instructor-led sessions. This course provides a hands-on and application-oriented approach to Computer Vision (CV) with AI techniques in industrial environments. Participants...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: UGT14
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course provides a hands-on and application-oriented approach to Computer Vision (CV) with AI techniques in industrial environments. Participants will learn how to design, implement, and optimize AI-driven vision systems for quality inspection, defect detection, process automation, object recognition, and predictive maintenance. Emphasis will be placed on real-world deployment using cameras, edge devices, and AI frameworks.

Welcome to the official Industrial Computer Vision with AI Training certification program in Copenhagen, Denmark. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of Python programming
Understanding of Machine Learning & Deep Learning fundamentals
Familiarity with image processing concepts (optional but helpful)

By the end of the course, participants will be able to:

Understand core concepts of computer vision for industrial settings.
Collect, preprocess, and annotate industrial image datasets.
Apply deep learning models (CNNs, YOLO, EfficientDet, Vision Transformers) for defect detection and object recognition.
Implement real-time inspection systems on edge devices.
Deploy and optimize AI models for performance, latency, and scalability.

Industrial image preprocessing & dataset curation
Object detection & defect detection using AI
Training & fine-tuning vision models (CNN, YOLO, ViT)
Edge AI deployment (NVIDIA Jetson, OpenVINO, TensorRT)
Understanding of Industry 4.0 & smart manufacturing AI use cases
Practical knowledge of safety, reliability, and ethical aspects in industrial AI

Fundamentals of industrial CV & deep learning
Image preprocessing and dataset preparation
Object detection and classification models
Real-time edge deployment strategies

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Foundations of Industrial Computer Vision

Introduction to Industrial Computer Vision & Industry 4.0
Basics of image acquisition (cameras, sensors, lighting setups)
Classical image processing (filters, edge detection, morphology)
Deep Learning overview for computer vision

AI for Industrial Vision Systems

Convolutional Neural Networks (CNNs) in industrial applications
Object detection: YOLO, SSD, Faster R-CNN for real-time inspection
Image classification for defect detection (cracks, scratches, misalignment)
Transfer learning & fine-tuning for domain-specific datasets

Advanced Techniques & Edge Deployment

Vision Transformers (ViTs) & hybrid architectures
Real-time inference optimization: TensorRT, OpenVINO, ONNX
Edge AI deployment with NVIDIA Jetson/industrial PCs
Case studies

Hands-on Exercises

Summary and Conclusion

Lecture slides and technical notes
Jupyter notebooks with sample codes
Research papers & industry case studies (smart manufacturing, visual inspection)
Pre-trained models
Sample industrial datasets

Quizzes
Hands-on Labs

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

Industrial Computer Vision with AI Training Events in copenhagen

Online Events

Global Region	Location	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

More Upcoming Session Dates

November 2026

📍 Copenhagen, Denmark

8th Nov 2026→9th Nov 2026

🌐 Online Instructor-Led

9th Nov 2026→10th Nov 2026

📍 Copenhagen, Denmark

20th Nov 2026→21st Nov 2026

🌐 Online Instructor-Led

21st Nov 2026→22nd Nov 2026

December 2026

🌐 Online Instructor-Led

2nd Dec 2026→3rd Dec 2026

📍 Copenhagen, Denmark

5th Dec 2026→6th Dec 2026

📍 Copenhagen, Denmark

21st Dec 2026→22nd Dec 2026

🌐 Online Instructor-Led

22nd Dec 2026→23rd Dec 2026

January 2027

📍 Copenhagen, Denmark

8th Jan 2027→9th Jan 2027

🌐 Online Instructor-Led

9th Jan 2027→10th Jan 2027

🌐 Online Instructor-Led

18th Jan 2027→19th Jan 2027

📍 Copenhagen, Denmark

28th Jan 2027→29th Jan 2027

Events for other courses in Copenhagen, Denmark

Global Region	Course Name	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

Industrial Computer Vision with AI Training in Copenhagen