This course covers fundamental concepts and underlying assumptions about intelligence. The goal is to produce programs to do intelligent things as people do. It also explains different kinds of techniques useful for solving AI problems. It gives an insight to model human intelligence. Different Heuristic approaches are explored to measure how far a node in a search tree seems to be from a goal. Intelligence requires knowledge. Defining the problem accurately and segregating the background knowledge needed in the solution of the problem are clearly stated and implemented.