Applied Artificial Intelligence: Computer Vision and Image Analysis

Overview

Delve into the fascinating world of AI with our comprehensive course on Applied Artificial Intelligence, focusing on Computer Vision and Image Analysis. This course is a crucial part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, designed to enhance your AI and machine learning abilities while preparing you for Microsoft's microcredentials.

Discover the significance of computer vision, a key technology enabling computers to interpret and analyze images just like humans.

Throughout this course, you will unravel the intricacies of Image Analysis techniques and their importance in AI. You'll get to grips with traditional Image Analysis methods such as Edge Detection, Watershed, and Distance Transformation, along with K-means clustering, broadening your understanding of AI's capabilities.

Learners will also trace the evolution of Image Analysis, gaining insights into its history and development within the field of AI.

By the conclusion of the training, participants will adeptly contrast classical and deep learning approaches to object classification, applying them within contemporary AI frameworks.

Gain practical experience with OpenCV and the Microsoft Cognitive Toolkit for image segmentation, enhancing your proficiency in computer vision. This course offers hands-on learning on implementing classical Image Analysis algorithms in OpenCV and training models for Semantic Segmentation using Transfer Learning and Microsoft ResNet.

Targeted at individuals keen on computer vision and armed with a basic understanding of image processing, this course is an essential step towards mastering computer vision in AI.

Offered by FutureLearn, it falls under several key categories:

Artificial Intelligence Courses, Computer Vision Courses, Deep Learning Courses, OpenCV Courses, and Image Segmentation Courses.

Taught by

Daniela Piedrahita

Subjects