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Description


Course Description

This course will introduce students to the field of artificial intelligence (AI). Students will learn about the different types of AI, the benefits of AI, and the applications of AI. Students will also learn about the ethical and social implications of AI.

Learning Objectives

Upon completion of this course, students will be able to:

  • Define AI and explain its key concepts.

  • Identify and understand the different types of AI algorithms.

  • Apply AI to solve real-world problems.

  • Evaluate the ethical and social implications of AI.

Prerequisites

No prior experience with AI is required. However, students should have a basic understanding of computer science and programming.

Course Content

The course will cover the following topics:

  • Introduction to AI

  • Types of AI

  • Machine learning

  • Deep learning

  • Natural language processing

  • Computer vision

  • Robotics

  • Applications of AI

  • Ethical and social implications of AI

Assessment

Students will be assessed on their understanding of the course material through a combination of assignments, quizzes, and exams.

Audience

This course is appropriate for students who are interested in learning more about AI. The course is also appropriate for students who want to develop the skills they need to use AI to solve real-world problems.

Outcomes

Upon completion of this course, students will be able to:

  • Use their knowledge of AI to solve real-world problems.

  • Evaluate the ethical and social implications of AI.

  • Be informed citizens who can participate in discussions about the future of AI.

What You Will Learn!

  • Define AI and explain its key concepts and applications.
  • Identify and understand the different types of AI algorithms.
  • Apply AI to solve real-world problems.
  • Evaluate the ethical and social implications of AI.

Who Should Attend!

  • Software developers and engineers, data scientists and analysts & Student's