Processing...

Award in Introduction to Artificial Intelligence

Introduction to Artificial Intelligence (AI) module covers the fundamental concepts, theories, and techniques of artificial intelligence.

MQF/EQF Level: 7 ECTS: 10 Credits

Introduction to Artificial Intelligence (AI) module covers the fundamental concepts, theories, and techniques of artificial intelligence. The module covers a broad overview of AI, including its history, current state, and future potential and philosophical dilemmas. Students will learn about the different subfields of AI, including machine learning, computer vision, robotics, and natural language processing, and will be introduced to the basic concepts of artificial intelligence, such as decision trees, neural networks, and fuzzy logic.


Programme Outcomes

  • Develop an Understanding of AI fundamentals: Students will gain a comprehensive understanding of the core theories of AI, including machine learning, logical reasoning as well as reasoning in uncertainty.
  • Knowledge of AI algorithms: Students will learn about the different AI algorithms and techniques, such as decision trees, neural networks, and fuzzy logic, and will understand how to implement and apply these algorithms in the context of logical reasoning an uncertain environment.
  • Critical analysis of AI: Students will develop critical analysis skills by examining the implications of AI from multiple perspectives, including those of ethics, philosophy, and technology.
  • Develop an understanding of the ethical and moral implications of AI: Students will learn about the ethical and moral implications of AI, including issues related to privacy, autonomy, and the distribution of benefits and harms.

  • A Bachelor's degree or post-graduate degree in business, administration, management, or a related field
  • Minimum 180 ECTS previously acquired at a Higher Education institution
  • 2 years of work experience
  • A GPA score of 2.5 (C+) or higher (or equivalent) will be required
  • Proof of C1 level of English or equivalent

NOTE: Individuals may apply and ask for consideration to be given to considerable high level leadership experience in lieu of some of typical academic requirements

Course Syllabus Podcast

Gain a Comprehensive Understanding of the Course Syllabus with Our Informative Podcast.

Not Disclosed

  • Multiple choice assessment - 30%
  • Assignment - 70%
  • E-portfolio
  • You can submit your assessment at any time during the course.


Trailer Thumbnail

What’s included

  • Duration:  
    Full Time- 3 Months
    Part Time- 6 Months
  • Learning: 250+ Hours
  • Blockchain Certificate