Artificial intelligence


About This Course

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer.The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Although AI has been studied for more than half a century, we still cannot make a computer that is as intelligent as a human in all aspects. However, we do have many successful applications. In some cases, the computer equipped with AI technology can be even more intelligent than us. The Deep Blue system which defeated the world chess champion is a well-know example.

Jobs requiring artificial intelligence (AI) are expanding at a rate of 74% per year . LinkedIn’ s Emerging Jobs 2020 report lists AI specialists as the fastest growing job category in the United States in the last five years . These jobs offer an average salary of 136,000 USD, or around 1.9 billion per year . This is because automation has changed the way people live and work every day. Thus , jobs requiring artificial intelligence are proving to be the greatest career opportunities of our time.

Learning Objectives

Fundamental knowledge for understanding AI
Introduce some basic search algorithms for problem solving; knowledge representation and reasoning; pattern recognition; fuzzy logic; and neural networks.


  • Basic Understanding of programming

Target Audience

  • Anyone who wants to learn about Artificial intelligence



History, Models, Activation Functions, and Basic Principles

Vector and Matrix Operation

A Tool for building Artificial Neural Network Applications

Model Neuron, Neural Learning Supervised and Unsupervised

The Hebb Model for Solving Pattern Recognition Problems

Perceptron Model In Pattern Recognition Cases

Adaline and Madaline Models For Pattern Recognition Cases

Backpropagation Model In Forecasting Cases

Case Clustering Using The Kohonen Network Model

Artificial Neural Network Application

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