This course is designed to provide participants with a foundational understanding of artificial intelligence, its applications, and its implications for society. This course covers the basic concepts and terminologies of AI, explores the various types and functions of AI technologies, and addresses the ethical, social, and economic impacts of AI. Through a combination of lectures, discussions, and practical activities, participants will gain the knowledge and skills necessary to engage with AI technologies critically and responsibly.

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learning objectives

By the end of this course, learners should be able to:

  • Understand Basic AI Concepts

  • Identify AI Applications and Technologies

  • Comprehend the Role of Data in AI

  • Evaluate Ethical and Social Implications

  • Assess AI's Impact on Society

  • Engage Critically with AI Technologies


  • Self-paced

  • 6 learning units

  • 2-3 learning hours

  • Customizable knowledge checks and final assessment

  • LMS and SCORM ready

topics of the course

  • Types of AI: Narrow AI vs. General AI

  • Understanding the Basic Components of the Life-Cycle of Machine Learning Systems

  • Machine learning and deep learning

  • Natural language processing (NLP)

  • Computer vision and Robotics

  • AI in various industries

  • Ethical and Social Implications of AI

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