Computer Vision Python Course
Master real-world computer vision with Python: OpenCV image processing, robust inference pipelines, ML and deep learning models, performance tuning, and deployment patterns to ship reliable CV features in production-grade tech products.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Computer Vision Python Course teaches you to build complete, reliable image workflows from scratch. You will master Python essentials, OpenCV image processing, NumPy arrays, and practical ML models for classification and detection. Learn to design datasets, train and evaluate models, implement robust inference pipelines, and deploy prediction services with CLI tools, REST APIs, containers, and basic CI/CD concepts.
Elevify advantages
Develop skills
- Build OpenCV pipelines: fast image I/O, transforms, filters, and annotations.
- Implement Python inference: robust preprocessing, batching, and error handling.
- Train compact CV models: scikit-learn, transfer learning, and light detection.
- Design reliable data workflows: splitting, augmentation, metrics, and evaluation.
- Package and deploy CV apps: CLIs, REST APIs, Docker, and basic CI/CD setup.
Suggested summary
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