This course covers the fundamental aspects of classic and modern Artificial Intelligence. Topics include solving problems by searching, decision tree, and machine learning.

Learning Outcomes

Discuss and describe the meaning and the scope of Artificial Intelligence (AI).

Analyze search problems and use various search techniques to solve real-life problems.

Apply and implement decision and classification techniques.

Design basic machine learning systems and use them to solve classification problems.

Who Should Attend

Students, graduates, professionals, and anyone seeking expertise in artificial intelligence concepts and its applications. Programming experience is recommended but not necessary.


AI: General Introduction

Uninformed Search Techniques

Informed Search Techniques

Decision Tree

Machine Learning