Artificial Intelligence: Basic AI Theory

Artificial Intelligence    |    Intermediate
  • 14 Videos | 1h 10m 2s
  • Includes Assessment
  • Earns a Badge
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Artificial intelligence (AI) is transforming the way businesses and governments are developing and using information. This course offers an overview of AI, its history, and its use in real-world situations; prior knowledge of machine learning, neural network, and probabilistic approaches is recommended. There are multiple definitions of AI, but the most common view is that it is software which enables a machine to think and act like a human, and to think and act rationally. Because AI differs from plain programing, the programming language used will depend on the application. In this series of videos, you will be introduced to multiple tools and techniques used in AI development. Also discussed are important issues in its application, such as the ethics and reliability of its use. You will set up a programing environment for developing AI applications and learn the best approaches to developing AI, as well as common mistakes. Gain the ability to communicate the value AI can bring to businesses today, along with multiple areas where AI is already being used.

WHAT YOU WILL LEARN

  • Course Overview
    What Is Artificial Intelligence?
    Types of Intelligent Systems
    Importance of Data in AI Development
    History of AI
    Recent Breakthroughs in AI
    Popular Environments for AI Development
  • Big Data as a Catalyst for AI Development
    Ethical Use of Big Data
    Reliability of Intelligent Systems
    Importance of Testing AI
    What Can Go Wrong with AI?
    Efficient Use of AI
    Course Summary

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 13s
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  • Playable
    2. 
    What Is Artificial Intelligence?
    3m 30s
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    3. 
    Types of Intelligent Systems
    3m 5s
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    4. 
    Importance of Data in AI Development
    8m 3s
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    5. 
    History of AI
    4m 2s
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    6. 
    Recent Breakthroughs in AI
    5m 35s
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    7. 
    Popular Environments for AI Development
    7m 55s
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    8. 
    Big Data as a Catalyst for AI Development
    4m 40s
  • Locked
    9. 
    Ethical Use of Big Data
    4m 36s
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    10. 
    Reliability of Intelligent Systems
    4m 22s
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    11. 
    Importance of Testing AI
    6m 30s
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    12. 
    What Can Go Wrong with AI?
    5m 5s
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    13. 
    Efficient Use of AI
    3m 19s
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    14. 
    Course Summary
    1m 9s

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