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Introduction to Artificial Intelligence (AI)

Define strategy and engagement for Artificial Intelligence solutions

4.92 / 5.0
30 students2 hours 33 minutes

Created by Neena Sathi, offered on Udemy

bestcourses score™

Student feedback

4.3/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 30 students which left 6 reviews at an average rating of 4.92, which is below the average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 2 hours 33 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.4/10

This course currently has a bestcourses score of 5.4/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

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.

What you will learn

  • What Is AI
  • Key AI Capabilities and Technology
  • AI technologies and associated case studies
  • Components of a AI solution

Requirements

  • None
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Frequently asked questions

  • Price: $39.99
  • Platform: Udemy
  • Language: English
  • 2 hours 33 minutes
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bestcourses score: 5.4/10

There might be better courses available for this topic.