Image Processing in Python

This track features courses in Python.

This track will be beneficial to many roles, developers, data scientists, image analysts, and data engineers. It qualifies you for roles that focus on image analysis, restoration, and machine learning.

This track allows you to gain the skills needed to navigate image processing, enabling you to complete tasks with confidence and preparedness. You will be able to complete tasks like image compression, feature selection and classification, as well as harnessing the power of convolutional neural networks to create deep learning image classifiers.

This track takes about 12 hours to complete as it consists of several courses.

A skill track is focused on teaching a method or technique, such as coding or machine learning. A career track, however, focuses on a range of skills and topics and is better suited for those looking to advance their career.

The datasets used in this track are sourced from real-world examples and are typically provided with each course.

This track covers topics from image enhancement and restoration to biomedical images and finally to convolutional neural networks. You will learn to build powerful deep learning image classifiers.