Introduction to Artificial Intelligence (AI)

Define strategy and engagement for Artificial Intelligence solutions

3.80 (22 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Introduction to Artificial Intelligence (AI)
130
students
2.5 hours
content
Apr 2022
last update
$59.99
regular price

What you will learn

What Is AI

Key AI Capabilities and Technology

AI technologies and associated case studies

Components of a AI solution

Why take this course?

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.

Screenshots

Introduction to Artificial Intelligence (AI) - Screenshot_01Introduction to Artificial Intelligence (AI) - Screenshot_02Introduction to Artificial Intelligence (AI) - Screenshot_03Introduction to Artificial Intelligence (AI) - Screenshot_04

Reviews

Mohamed
October 25, 2023
Poor language, not interactive, just giving lots of information like speaking chatgpt. Moreover, the captioning is the worst ever.
Mohammed
May 31, 2023
very poor language. the instructor is reading a PPT slides, not explaining anything at all. the instructor is even didn't train well to read the PPT

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4011586
udemy ID
4/28/2021
course created date
9/8/2021
course indexed date
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