Computer Vision: AI & Computer Vision


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

In this course, you'll explore Computer Vision use cases in fields like consumer electronics, aerospace, automotive, robotics, and space. You'll learn about basic AI algorithms that can help you solve vision problems and explore their categories. Finally, you'll apply hands-on development practices on two interesting use cases to predict lung cancer and deforestation.



Expected Duration (hours)
0.8

Lesson Objectives

Computer Vision: AI & Computer Vision

  • discover the key concepts covered in this course
  • describe how CV is used in electronics and why cheap consumer electronics are not possible without CV
  • describe how CV is used in the aerospace industry and list the responsibilities of a CV system on an aircraft
  • describe how CV is used in the automotive industry and its role in the development of self-driving cars
  • describe how CV is used with robotics and how CV solutions are used in popular robotics products
  • describe how CV is used in the space industry and the role of CV during space missions
  • recognize how the performance of Convolutional Neural Network revolutionized CV
  • classify different types of Convolutional Neural Networks by their structure and purpose
  • list the steps needed to create an object detection neural network and describe how object detection is performed
  • list the steps needed to create an image classification neural network and describe how classification is performed
  • describe image segmentation in broad terms and specify how it may be useful for the industry
  • specify how images can be generated based on large datasets and describe ways to use generated images
  • work with datasets to predict how deforestation will behave in the Amazon rainforest
  • use popular CV libraries to create an MRI image lung cancer detector
  • summarize the key concepts covered in this course
  • Course Number:
    it_aiapcvdj_02_enus

    Expertise Level
    Intermediate