Artificial Intelligence Lab is a part of III B.Tech for R20 Regulation CSE-DS students. This lab provides practical experience in implementing fundamental AI techniques using Python. It focuses on problem-solving using search algorithms, knowledge representation, and reasoning, as well as basic machine learning techniques. The lab aims to build the foundation for intelligent systems and real-world AI applications.

The expected outcomes from the students are:

• Implement problem-solving techniques using uninformed and informed search strategies such as BFS, DFS, A*, and Greedy search.
• Apply knowledge representation techniques like predicate logic and rule-based systems.
• Develop programs that demonstrate reasoning under uncertainty using probability and fuzzy logic.
• Create intelligent agents that can make decisions and learn from the environment.
• Explore basic machine learning concepts like classification and regression using AI approaches.
• Gain the ability to apply AI techniques to solve real-world problems in domains like games, robotics, and expert systems.