Overview

Over the duration of this course, you’ll:

  • Learn about computer vision foundations
  • Learn about Artificial Intelligence vs Machine Learning
  • Learn about the Computer Vision process
  • Dive deep into real-world examples
  • Understand how to build a model
  • Know how to improve model performance
  • Learn the Tapway labeling tools
  • Understand how to choose between project types
  • Become familiar with the Tapway deployment options
  • Get insight into our best practices and tips

Skills Covered

You will learn how to:

  • Make an informed decision about choosing a project type
  • Effectively use each labeling tool
  • Understand how to consider and clarify all aspects of your computer vision use case
  • Create and maintain a labeling guide
  • Build your own computer vision model
  • Improve the performance of your trained model
  • Make an informed decision about choosing a deployment option
  • Deploy your trained model to the edge and configure the edge software to run with real time video streams

Who Should Attend

  • Production and/or Operation Managers
  • Technical Managers
  • IT Managers
  • Quality Control and Quality Assurance
  • Technicians
  • Students and professionals in computer science, engineering, and related fields
  • Anyone who is interested in learning how computers can see

Course Curriculum

Prerequisites

There are no prerequisites required to attend this course.

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Course Modules

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Training Options

Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

Frequently Asked Questions