Live Computer Vision Workshops
Join our interactive programming sessions where you'll build real computer vision applications alongside industry experts. Each workshop focuses on practical implementation with immediate feedback.
Reserve Your SpotCode Together, Learn Faster
Our webinars aren't typical lectures where you sit back and watch. You'll be writing code, debugging algorithms, and solving computer vision challenges in real-time. Each session includes hands-on exercises that you can immediately apply to your own projects.
We've found that students grasp complex concepts much quicker when they're actively implementing them. During our September 2025 object detection workshop, participants built their first working classifier in under two hours.
- Live coding sessions with immediate instructor feedback
- Small group sizes ensuring personal attention for each participant
- Code repositories shared after each session for future reference
- Q&A segments addressing your specific implementation challenges
Workshop Topics That Matter
Each session tackles real-world computer vision challenges that companies actually face. We design our curriculum based on current industry demands and emerging technologies.
Object Detection & Recognition
Build systems that can identify and locate objects in images and video streams. We'll work with popular frameworks like YOLO and implement custom detection algorithms for specific use cases.
Image Processing & Analysis
Master the fundamentals of digital image manipulation, filtering, and feature extraction. These sessions cover everything from basic transformations to advanced morphological operations.
Deep Learning for Vision
Dive into neural networks designed specifically for visual tasks. We'll build and train convolutional networks, explore transfer learning, and optimize models for real-time applications.
Mobile Computer Vision
Learn how to deploy your vision algorithms on mobile devices and embedded systems. These sessions focus on optimization techniques and platform-specific considerations.
Video Analysis & Tracking
Process video streams, track moving objects, and analyze temporal patterns. We'll implement motion detection, optical flow, and multi-object tracking systems.
Real-time Processing
Optimize your computer vision applications for speed and efficiency. Learn about parallel processing, GPU acceleration, and techniques for handling high-frequency data streams.
Meet Your Workshop Leaders
Our instructors bring years of practical experience from computer vision teams at major tech companies and research institutions. They've faced the same challenges you're working to solve.
Dr. Marcus Kellenberg
Senior Research Engineer
Spent eight years developing autonomous vehicle vision systems at major automotive companies. Marcus specializes in real-time object detection and has published extensively on efficient neural network architectures.
Sarah Voidström
Computer Vision Lead
Former lead engineer at several medical imaging companies, Sarah focuses on precision applications where accuracy is critical. Her workshops emphasize robust algorithm design and thorough testing methodologies.
Elena Kowalczyk
Mobile Vision Specialist
Elena builds computer vision apps for mobile platforms and has worked on camera features for popular consumer apps. She brings practical insights about deploying vision algorithms on resource-constrained devices.
Upcoming Workshop Schedule
All workshops run for 2.5 hours and include live coding, group discussions, and individual project time. Sessions are recorded for registered participants who can't attend live.
Image Segmentation Fundamentals
March 15, 2025
2:00 PM - 4:30 PM (GMT+8)
Building Custom Object Detectors
March 29, 2025
10:00 AM - 12:30 PM (GMT+8)
Real-time Face Recognition Systems
April 12, 2025
7:00 PM - 9:30 PM (GMT+8)
Video Analysis with OpenCV
April 26, 2025
1:00 PM - 3:30 PM (GMT+8)