Contents of the course

  1. Introduction to AI concepts

  2. Manifestation of AI

  3. Explanation of the block diagram manifestation

  4. Introduction to AI fundamentals

  5. Inference and reasoning

  6. Reasoning and uncertainties

  7. Machine learning

  8. Game theory and decision making

  9. Introduction to the opportunities of AI

  10. Computer vision

  11. Natural language processing and text mining

  12. Decision-making

  13. Introduction to AI tools

  14. Logical inference and uncertainties

  15. Use of AI libraries

  16. Libraries for machine learning

  17. Introduction to ethical challenges of AI

  18. A broad collection of ethical challenges

  19. Categories of ethical challenges of AI

  20. Wrap-up of the ethics theme and the course