Computer Vision and Image Analysis
A deep dive into Computer Vision and Image Analysis using Python.
Created by: Graeme Malcolm
Quality Score
Overall Score : 0 / 100
Course Description
In this hands-on course, we'll learn about Image Analysis techniques using Python packages like PIL, Scikit-Image, OpenCV, and others. You'll then explore machine learning for computer vision, including deep learning techniques for image classification, object detection, and semantic segmentation; using industry-standard machine learning frameworks like SciKit-Learn, Keras, and PyTorch.
Instructor Details
Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.
More courses by Graeme Malcolm
Introduction to Data Science (2017)
4.3 (4 Reviews)
Provider: edX
Time: 6 Weeks - 2-4 hours per week
Free
Essential Math for Machine Learning: R Edition
Provider: edX
Time: 6 Weeks - 6-8 hours per week
Free
Essential Math for Machine Learning: Python Edition
Provider: edX
Time: 6 Weeks - 6-8 hours per week
Free
Microsoft Professional Capstone : Artificial Intelligence
Provider: edX
Time: 4 Weeks - 6-8 hours per week
Free
More Artificial Intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
Provider: Coursera
Time: 15h
Free
Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)
Provider: Udemy
Time: 14.7h
$79.99
Reviews
No reviews yet. Be the first to review this course!
Showing all 0 reviews
Could not load more reviews.










