At the end of the course, a student should be able to

1. Identify the modern view of AI and its application based on agent philosophy.

2. Compare the various searching algorithms commonly used in AI by implementing them.

3. Summarize the various knowledge representation and inference techniques.

4. Examine the various learning and planning techniques available and its application.

5. Review the various methods of handling uncertainty. 

6.  Examine the role of Natural Language processing and Genetic Algorithms in building Intelligent Systems