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Elements of applied artificial intelligence

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Enrollment is Closed

About This Course

Welcome to the Elements of Applied Artificial Intelligence course.

This course provides an introduction to the fundamental concepts, mathematical foundations, and practical techniques of Artificial Intelligence (AI). It aims to provide students with the knowledge and skills required to understand and apply basic AI and machine learning techniques to engineering and real-world problems.

Throughout this course, students will progressively explore the main concepts of artificial intelligence, including the mathematical foundations of AI, machine learning, supervised learning, classification, unsupervised learning, and artificial neural networks. Practical examples and Python-based activities will be used to reinforce the theoretical concepts and facilitate their application

Requirements

🟢 To ensure optimal academic achievement and a deep understanding of the elements of the applied artificial intelligence module, you are expected to have mastery of the following points:

🟦 ➤ General information on the Python programming language and the fundamentals of data analysis and artificial intelligence.

💻 ➤ A solid foundation in computer science.

📊 ➤ General Information on programs in Python and Excel.

⚙️ ➤ Concepts of task automation.

Course Staff

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Dr.Badreddine KANOUNI#1

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Staff Member #2

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Course Summary

  1. Course Number

    UET_1.2
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    01:30