Contents of the course#
Introduction to AI concepts
Manifestation of AI
Explanation of the block diagram manifestation
Introduction to AI fundamentals
Inference and reasoning
Reasoning and uncertainties
Machine learning
Game theory and decision making
Introduction to the opportunities of AI
Computer vision
Natural language processing and text mining
Decision-making
Introduction to AI tools
Logical inference and uncertainties
Use of AI libraries
Libraries for machine learning
Introduction to ethical challenges of AI
A broad collection of ethical challenges
Categories of ethical challenges of AI
Wrap-up of the ethics theme and the course