General Questions
The course focuses on applying computer vision techniques for monitoring industrial equipment, with a special emphasis on early failure detection and predictive maintenance using real-time video and image analysis.
Yes! The entire 7-day mini-course is free of charge. You get full access to all lessons and resources after a simple registration.
The course is ideal for engineers, technical managers, factory IT staff, and anyone interested in learning practical computer vision applications for equipment monitoring. No advanced programming is required, but basic Python knowledge is helpful.
All you need is a computer with internet access. We recommend having Python installed and access to a basic webcam for some practical exercises. All software used is open-source and free (including OpenCV, TensorFlow, and PyTorch).
Course & Registration
Register by clicking the "Registration" button in the site menu or at the bottom of this page. You'll receive access details and instructions by email right after signing up.
Each lesson takes approximately 30–45 minutes to complete and includes short theory videos, practical coding exercises, and clear step-by-step instructions. The format is self-paced, so you can complete the material on your own schedule.
Yes, you will receive a digital certificate of completion from VisionTech Academy after finishing all course modules and assignments.
Absolutely! Once registered, you have permanent access to the course materials, so you can revisit topics any time you wish.
Technical Support
Our support team provides guidance on course content and technical questions via an online Q&A section within the course portal. You can ask questions any time during your learning.
Yes! We encourage peer learning and discussion. There is an internal forum where you can collaborate, share ideas, and solve practical challenges together.
Setup Guidance
Step-by-step help for first-time users and beginners.
Active Support
Quick answers to course and technical questions throughout your journey.
Practical Solutions
Real-world examples for immediate results inside your factory or lab.
