Using Intelligent Information Systems in AI

Artificial Intelligence    |    Expert
  • 15 Videos | 57m 54s
  • Includes Assessment
  • Earns a Badge
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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

  • Playable
    1. 
    Course Overview
    2m 24s
    UP NEXT
  • Playable
    2. 
    Intelligent Information Systems (IIS)
    2m 26s
  • Locked
    3. 
    The Need for Intelligent Information Systems
    2m 33s
    FREE ACCESS
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    4. 
    Intelligent Information Systems Applications
    4m 53s
    FREE ACCESS
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    5. 
    AI and ML in IIS
    2m 20s
    FREE ACCESS
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    6. 
    Challenges in IIS Development
    2m 22s
    FREE ACCESS
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    7. 
    Components of Intelligent Information Systems
    3m 19s
    FREE ACCESS
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    8. 
    Building Self-driving Cars
    3m 26s
    FREE ACCESS
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    9. 
    The Markov Decision Process
    15m 19s
    FREE ACCESS
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    10. 
    Setting Up a Markov Decision Process
    2m 31s
    FREE ACCESS
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    11. 
    ValueIteration Call
    1m 11s
    FREE ACCESS
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    12. 
    Setting Up a ValueIteration Call
    1m 48s
    FREE ACCESS
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    13. 
    Interpreting the Results of a ValueIteration Call
    4m 9s
    FREE ACCESS
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    14. 
    Self-driving Car Subsystems
    1m 41s
    FREE ACCESS
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    15. 
    Course Summary
    1m 3s
    FREE ACCESS

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