Introduction to Vision AI

Introduction to Vision AI, available at $19.99, has an average rating of 4.33, with 8 lectures, 7 quizzes, based on 3 reviews, and has 28 subscribers.

You will learn about You should be able to learn – what is Vision AI Vision AIs key concepts and complexity levels We will introduce you Use case Library containing many real and hypothetical use cases of Vision AI Finally, you will be able to Understand components of a Vision AI solution You will be introduced to tools and technologies in this area This course is ideal for individuals who are Business and IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for computer vision solutions It is particularly useful for Business and IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for computer vision solutions.

Enroll now: Introduction to Vision AI

Summary

Title: Introduction to Vision AI

Price: $19.99

Average Rating: 4.33

Number of Lectures: 8

Number of Quizzes: 7

Number of Published Lectures: 8

Number of Published Quizzes: 7

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

You should be able to learn – what is Vision AI

Vision AIs key concepts and complexity levels

We will introduce you Use case Library containing many real and hypothetical use cases of Vision AI

Finally, you will be able to Understand components of a Vision AI solution

You will be introduced to tools and technologies in this area

Who Should Attend

Business and IT professionals

Senior year undergraduate and graduate students in Business & IT

Vendors, consultants and service providers for computer vision solutions

Target Audiences

Business and IT professionals

Senior year undergraduate and graduate students in Business & IT

Vendors, consultants and service providers for computer vision solutions

Key objectives of the course include following key topics:

Describe Vision AI experience

Cover Vision AI Use case Library containing many real and hypothetical use cases of Vision AI

Explain Vision AI experience using  2 Vision AI case studies

Finally, you will be able to Understand components of a Vision AI solution

This course is divided into multiple sections.

Section 1 provides an introduction to the course including course outline, audience, expected outcome, and authors for the course.

In section 2, we will describe what is a Vision AI and how it is being used in classifying and cataloging various image and videos.  We will cover key concepts behind Vision VI and its 5 complexity levels’

In section 3, we will take a series of use cases in four different categories like

Document Understanding

Scene Analysis

Entity Recognition

Image generation

and will show you different use cases associated with above categories where different vision concepts are employed.

In Section 4, we will introduce you to key technologies behind Vision AI like

Deep Learning

Computer Vision models like CNN, RNN and Faster R-CNN

Transfer Learning and popular library VGG-16

Embedding

Computer Vision open-source library Keras

In Section 5, we will cover first  good example of Vision AI for analyzing Payment protection Plan to interpret payroll forms. US Government released more than 1 trillion dollars to support small businesses economically impacted by COVID. As small business applications grew, there was need for automated extraction of payroll information from applicant forms, many of which were filled by hand. We will describe problem, solution components and benefit case for this problem.

In section 6, we will introduce second case study on  Image Classification and Item Identification for Retail/warehouse outlets,  We will describe problem, user persona, solution components and benefit case for this problem.

In the last section, we will summarize the course contents and will introduce several commercial offerings in this area.    We will also discuss related references and courses to move forward with your Vision AI learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Vision AI Concepts and Complexity Levels

Lecture 1: Vision AI Concepts and Complexity Levels

Chapter 3: Vision AI – Use Cases

Lecture 1: Vision AI – Use Cases

Chapter 4: Vision AI – Technology

Lecture 1: Vision AI – Technologies

Chapter 5: Vision AI – Case Study 1

Lecture 1: Vision AI – Case Study 1

Chapter 6: Vision AI – Case Study 2

Lecture 1: Vision AI – Case Study 2

Chapter 7: Final Thought

Lecture 1: Final Thoughts

Lecture 2: Bonus Lecture

Instructors

Neena Sathi
Principal, Applied AI Institute

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4 stars: 2 votes

5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!