Using Intelligent Information Systems in AI
Artificial Intelligence
| Expert
- 15 Videos | 51m 24s
- Includes Assessment
- Earns a Badge
The world of technology continues to transform at a rapid pace, with intelligent technology incorporated at every stage of the business process. Intelligent information systems (IIS) reduce the need for routine human labor and allow companies to focus instead on hiring creative professionals. In this course, you'll explore the present and future roles of intelligent informational systems in AI development, recognizing the current demand for IIS specialists. You'll list several possible IIS applications and learn about the roles AI and ML play in creating them. Next, you'll identify significant components of IIS and the purpose of these components. You'll examine how you would go about creating a self-driving vehicle using IIS components. Finally, you'll work with Python libraries to build high-level components of a Markov decision process.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
describe the main features of intelligent systems and define the concept of IIS
recognize why IIS development is a growing field and specify where IIS development is in demand
list possible applications of intelligent information systems
identify the role of artificial intelligence and machine learning in building IIS
list potential challenges and common problems when developing IIS
name the primary components of intelligent information systems and their purpose
outline the overall approach to building a self-driving vehicle as an IIS -
describe the fundamental concepts behind a Markov decision process
demonstrate how to use the mdptoolbox library to describe how to set up a Markov Decision Process problem
outline how to set up a call to the ValueIteration method in the mdptoolbox to obtain the value and optimal policy vectors
set up a ValueIteration call and show its results
interpret the results of the ValueIteration call
name subsystems of a self-driving car IIS and specify their roles
summarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 24sUP NEXT
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2.Intelligent Information Systems (IIS)2m 26s
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3.The Need for Intelligent Information Systems2m 33s
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4.Intelligent Information Systems Applications4m 53s
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5.AI and ML in IIS2m 20s
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6.Challenges in IIS Development2m 22s
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7.Components of Intelligent Information Systems3m 19s
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8.Building Self-driving Cars3m 26s
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9.The Markov Decision Process15m 19s
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10.Setting Up a Markov Decision Process2m 31s
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11.ValueIteration Call1m 11s
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12.Setting Up a ValueIteration Call1m 48s
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13.Interpreting the Results of a ValueIteration Call4m 9s
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14.Self-driving Car Subsystems1m 41s
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15.Course Summary1m 3s
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