Computer Vision Python Course
Dive into practical computer vision using Python, covering OpenCV for image processing, strong inference systems, machine learning and deep learning models, optimisation techniques, and deployment strategies to deliver dependable CV solutions in professional production environments. Master building and shipping robust CV features for real-world tech applications.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with skills to create reliable image processing workflows using Python. You'll gain expertise in core Python, OpenCV for image handling, NumPy for arrays, and ML models for object classification and detection. It covers dataset creation, model training and assessment, inference pipelines, and deployment via CLI, REST APIs, containers, and basic CI/CD practices.
Elevify advantages
Develop skills
- Build efficient OpenCV pipelines for image input/output, transformations, filtering, and annotations.
- Develop solid Python inference with preprocessing, batch processing, and error management.
- Train lightweight CV models using scikit-learn, transfer learning, and simple detection methods.
- Create dependable data pipelines including splitting, augmentation, metrics, and model evaluation.
- Deploy CV applications with CLI tools, REST APIs, Docker containers, and introductory CI/CD.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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