Using Intelligent Information Systems in AI

Artificial Intelligence    |    Expert
  • 15 videos | 51m 24s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 19 users Rating 4.5 of 19 users (19)
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

  • 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

  • 2m 24s
  • 2m 26s
    Upon completion of this video, you will be able to describe the main features of intelligent systems and define the concept of an intelligent information system. FREE ACCESS
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    3.  The Need for Intelligent Information Systems
    2m 33s
    After completing this video, you will be able to recognize why IIS development is a growing field and specify where IIS development is in demand. FREE ACCESS
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    4.  Intelligent Information Systems Applications
    4m 53s
    After completing this video, you will be able to list possible applications of intelligent information systems. FREE ACCESS
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    5.  AI and ML in IIS
    2m 20s
    Learn how to identify the role of artificial intelligence and machine learning in building IIS. FREE ACCESS
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    6.  Challenges in IIS Development
    2m 22s
    After completing this video, you will be able to list potential challenges and common problems when developing for IIS. FREE ACCESS
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    7.  Components of Intelligent Information Systems
    3m 19s
    Upon completion of this video, you will be able to name the primary components of intelligent information systems and explain their purpose. FREE ACCESS
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    8.  Building Self-driving Cars
    3m 26s
    In this video, find out how to outline the overall approach to building a self-driving vehicle as an IIS. FREE ACCESS
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    9.  The Markov Decision Process
    15m 19s
    After completing this video, you will be able to describe the fundamental concepts behind a Markov decision process. FREE ACCESS
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    10.  Setting Up a Markov Decision Process
    2m 31s
    In this video, you will learn how to use the mdptoolbox library to set up a Markov Decision Process problem. FREE ACCESS
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    11.  ValueIteration Call
    1m 11s
    In this video, you will outline how to set up a call to the ValueIteration method in the mdptoolbox to obtain the value and optimal policy vectors. FREE ACCESS
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    12.  Setting Up a ValueIteration Call
    1m 48s
    In this video, you will set up a ValueIteration algorithm and show its results. FREE ACCESS
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    13.  Interpreting the Results of a ValueIteration Call
    4m 9s
    Find out how to interpret the results of the ValueIteration function. FREE ACCESS
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    14.  Self-driving Car Subsystems
    1m 41s
    After completing this video, you will be able to name the subsystems of a self-driving car and specify their roles. FREE ACCESS
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    15.  Course Summary
    1m 3s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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