Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI), available at $59.99, has an average rating of 3.8, with 14 lectures, 9 quizzes, based on 23 reviews, and has 132 subscribers.

You will learn about What Is AI Key AI Capabilities and Technology AI technologies and associated case studies Components of a AI solution This course is ideal for individuals who are Business professionals or IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for AI technology It is particularly useful for Business professionals or IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for AI technology.

Enroll now: Introduction to Artificial Intelligence (AI)

Summary

Title: Introduction to Artificial Intelligence (AI)

Price: $59.99

Average Rating: 3.8

Number of Lectures: 14

Number of Quizzes: 9

Number of Published Lectures: 13

Number of Published Quizzes: 9

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 22

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

What Is AI

Key AI Capabilities and Technology

AI technologies and associated case studies

Components of a AI solution

Who Should Attend

Business professionals

IT professionals

Senior year undergraduate and graduate students in Business & IT

Vendors, consultants and service providers for AI technology

Target Audiences

Business professionals

IT professionals

Senior year undergraduate and graduate students in Business & IT

Vendors, consultants and service providers for AI technology

As we deal with current data explosive world, much of the data is unstructured – forms, tables, images, and video. As we deal with social interactions in Covid-19, compliance for mask wearing gets added to a number of other image analysis problems.

We have a strong need to analyze large set of unstructured and semi-structured data to interpret the meaning using various AI technology. What are the different types of AI capabilities and associated technologies? How do you select an AI use case and associated technology.

In this course, you will understand

What is AI?

Major capabilities of AI

Various AI technologies and associated use cases

Components of an AI solution

Strategize an AI engagement and associated technologies

This course is divided into multiple sections.  After this introductory section,

We will cover what is AI and  four major tiers of AI capabilities. In each area, we will identify key technologies and how they drive and transform analytics.

First area is sensing – this includes perception capabilities embedded in our ingestion of speech, images, text, and sensors. We will cover this technology and will also include one case study in this area.

Second area is learning – here we discuss the role of adaptive learning in model improvement as seen today in supervised, unsupervised and reinforcement learning. We will cover this technology and will also include one case study in this area.

Third area is reasoning – our discussion here showcases the role of semantic knowledge representation in developing reasoning capabilities. We will cover this technology and will also include one case study in this area.

Four area is interaction – it covers our use of collaboration in human – machine interaction. We will define key characteristics of this technology and will also include one case study in this area.

Next, we will round up the four capabilities – perception, adaptive learning, semantic knowledge representation and collaboration and show how they have collectively shaped various common life use cases

In last summary section, we will review our findings and provide a set of recommended readings.

The course will cover many interactive quizzes to test your understanding on the subject.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Instructors Bio

Chapter 2: Key Capabilities and Technologies

Lecture 1: Key Technologies

Chapter 3: AI Technology – Sensing

Lecture 1: AI Technology – Sensing

Lecture 2: Sensing – Case Study

Chapter 4: AI Technology – Reasoning

Lecture 1: AI technology – Reasoning

Lecture 2: Case Study 3 – Reasoning

Chapter 5: AI Technology – Learning

Lecture 1: AI technology – Learning

Lecture 2: Case Study 2 – Learning

Chapter 6: AI technology – Interaction

Lecture 1: AI Technology – Interaction

Lecture 2: Case Study 4 – Interaction

Chapter 7: Summary

Lecture 1: Final Review

Lecture 2: Bonus Lecture

Instructors

Neena Sathi
Principal, Applied AI Institute

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 6 votes

5 stars: 12 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!