Computer Vision: Introduction

Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description

In this course, you'll explore basic Computer Vision concepts and its various applications. You'll examine traditional ways of approaching vision problems and how AI has evolved the field. Next, you'll look at the different kinds of problems AI can solve in vision. You'll explore various use cases in the fields of healthcare, banking, retail cybersecurity, agriculture, and manufacturing. Finally, you'll learn about different tools that are available in CV.

Expected Duration (hours)
0.7

Lesson Objectives

Computer Vision: Introduction

discover the key concepts covered in this course

describe basic concepts in Computer Vision

compare image processing to Computer Vision

compare image processing to traditional methods of solving image problems

illustrate how AI can be part of a Computer Vision solution

recognize major tools and models used in the industry

identify and describe problems that can be solved using Computer Vision

describe the role Computer Vision plays in the industry and associated trends

describe how CV is used in healthcare and the multiple CV solutions used in healthcare

describe how CV is used for banking and multiple CV solutions used by major banks

describe how CV is used in retail, recent breakthroughs, and trends

describe how CV is used in cybersecurity and ways you can protect yourself online using CV solutions

describe how CV is used in agriculture and ways CV solutions can impact farmers

describe how CV is used in manufacturing and identify areas that are the most impacted

summarize the key concepts covered in this course

Course Number:
it_aiapcvdj_01_enus

Expertise Level
Intermediate