Computer Vision Programming Course
Learn how machines interpret visual data through hands-on projects that build real understanding. This isn't about memorizing theory—you'll write code that processes images, detects objects, and solves actual problems.
Our autumn 2025 cohort runs for eighteen weeks. You'll work with OpenCV, Python, and modern frameworks while building a portfolio of functional applications.
What You'll Actually Build
The program divides into three distinct phases. Each one introduces new concepts while building on what you've already mastered. By week twelve, most students have working applications they can demonstrate.
Image Processing Fundamentals
Start with pixel manipulation, filters, and transformations. You'll write code that sharpens images, removes noise, and adjusts exposure—basic operations that form the foundation for everything else.
Object Detection & Recognition
Move into detecting faces, tracking motion, and identifying objects in video streams. This is where things get interesting—your code starts making decisions based on what it sees.
Neural Networks & Deep Learning
Train models to classify images and segment scenes. You'll work with pre-trained networks and learn when to fine-tune them for specific tasks. The final project combines everything you've learned.
Learn From People Who Actually Do This Work
Our instructors aren't just teachers. Linnea spent six years developing vision systems for manufacturing quality control. Jasper built facial recognition tools for security applications. They know what works in production environments because they've debugged those systems at three in the morning.
Linnea Bjornstad
Lead instructor with background in industrial automation and real-time processing systems. Previously developed defect detection algorithms for semiconductor manufacturing.
Jasper Thielemann
Specializes in neural network architectures for image classification. Built recognition systems handling millions of daily transactions in financial security applications.
Projects That Demonstrate Real Capability
Every three weeks, you complete a substantial project. These aren't toy examples—they're the kind of work you'd show in a technical interview or use to solve actual business problems.
Document Scanner Application
Build a tool that automatically detects document edges, corrects perspective distortion, and enhances text clarity. Works with phone camera input.
Motion Tracking System
Create software that tracks multiple objects across video frames, handles occlusion, and maintains identity through scene changes.
Custom Classification Pipeline
Train a neural network for your chosen application, handle data augmentation, and deploy it with acceptable performance on standard hardware.
Program Details for Autumn 2025
Start Date
September 15, 2025 — first session introduces development environment setup and covers fundamental image operations
Class Schedule
Tuesday and Thursday evenings, 7:00 PM - 10:00 PM Taiwan time. Saturday morning lab sessions available for additional support.
Technical Requirements
Computer with at least 8GB RAM and dedicated GPU recommended. All software is open source—no licensing fees required.
Prerequisites
Basic Python knowledge expected. If you can write functions and understand loops, you're ready. We provide a pre-course refresher in early September.
Reserve Your Spot
Class size limited to 24 students to maintain quality instruction. Early enrollment opens July 2025. Contact us to learn more about curriculum details and what to expect.
Get Program InformationQuestions about schedule, technical requirements, or course content? Reach us at +886233226200 or info@turboevolve.life