This course provides a comprehensive overview of artificial intelligence (AI), focusing on its fundamentals, applications, and ethical considerations. Students will learn to describe different types of AI and their common applications in everyday life. Key ethical issues such as fairness, accountability, transparency, and bias will be explored through real-world examples. The course emphasizes critical thinking skills, enabling students to evaluate AI claims and differentiate between hype and reality. Students will gain an understanding of how machine learning works, including commonly used algorithms and current AI technologies across various sectors.

The course also addresses the ethical implications of AI, covering data privacy, security, and the impact on personal freedoms. Students will analyze AI applications in key areas such as healthcare, finance, and law, evaluating both successful and problematic case studies to develop practical AI solutions. By the end of the course, students will be able to critically assess the effectiveness and challenges of various AI implementations, understand ethical considerations and biases, and propose strategies for responsible and ethical AI deployment.

Learning Objectives:

  • Describe the fundamentals of AI, including different types and common applications in everyday life
  • Discuss key ethical issues in AI, such as fairness, accountability, transparency, and bias, with the help of real-world examples
  • Apply critical thinking principles to evaluate claims about AI, differentiating between hype and reality through practical exercises
  • Explain how machine learning works, identify commonly used algorithms in AI, and recognize AI technologies currently in use across various sectors
  • Discuss the ethical implications of AI, including data privacy, security, and its impact on personal freedoms, and critically assess how to balance these issues with technological innovation.
  • Analyze the application of AI in key areas such as healthcare, finance, and law, evaluate case studies of both successful and problematic AI implementations, and develop AI solutions for real-world problems.
  • Critically evaluate the effectiveness and challenges of various AI implementations, identifying key factors that contribute to successful or problematic outcomes.
  • Gain an understanding of the ethical considerations and potential biases in AI systems, particularly in high-impact areas such as healthcare, finance, and law enforcement.
  • Propose best practices and strategies for developing and deploying AI systems responsibly and ethically.

How You Will Benefit:

  • Comprehensive knowledge of AI fundamentals
  • Ethical awareness and critical thinkingPractical knowledge of machine learning
  • Real-world application
  • Ability to develop responsible AI implementations

Who Should Attend:

  • Any individual interested in learning about AI technical aspects and ethical considerations

Prerequisites: None

Course Format: Live instructor led (synchronous)

Course Duration: 8 hours