After completion of the course the students will be able to:

CO1: Ability to compare different AI algorithms in terms of design issues, computational complexity, and assumptions

CO2: Apply basic search techniques and AI algorithms for problem solving

CO3: Identify the machine learning algorithms which are more appropriate for various types of learning tasks in various domains

CO4: Analyse and Differentiate various classification approaches

CO5: Implement machine learning algorithms on real datasets

CO6: The student will learn about the basic concepts of ANN and CNN