Fundamentals of Artificial Intelligence and Big Data | AI

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About this course

Course Summary

This course is an introductory course; It sheds light on the basics of the subject in general, with the aim of introducing it and its main axes that must be known.

Course Price

Free Trial

5 hours (approximately)

Certificate

Yes

What you'll learn

  • Learn about the concept of artificial intelligence and distinguish between different types of robots.
  • Explains different AI pathways and learns about expert systems.
  • Explain the concept of computer vision and apply natural language processing techniques.
  • Explain big data and its classifications, know the characteristics of big data and apply machine learning mechanisms.

There are 5 modules in this course

We live today in the shadow of a new industrial revolution, which is the fourth industrial revolution that passes on this planet and ravages all its sectors and affects them greatly, whether positively or negatively. What was issued at this stage of science and technology; Which is the science and applications of artificial intelligence and the analysis of big data, which is considered one of the most important paths of artificial intelligence applications, as through scientific and practical experience in this field, we will present this science in a simplified manner with practical examples and experiments that help the trainee to discover this science and methods of its application in various fields.

This course is an introductory course; It sheds light on the basics of the subject in general, with the aim of introducing it and its main axes that must be known. If you are interested in understanding the basics of artificial intelligence and big data, and employing them in the context of your work, then this course will be ideal for enriching your experience and developing your skills effectively and effectively. Where this course will provide you with a wide and accurate knowledge of a set of topics related to this topic, such as: applying machine learning mechanisms, identifying the characteristics of big data, explaining big data and its classifications, applying natural language processing techniques, explaining the concept of computer vision, identifying expert systems, explaining Different artificial intelligence paths, distinguishing between different types of robots, recognizing the concept of artificial intelligence.