Artificial Intelligence syllabus

Introduce to the fundamentals of AI, history, applications, and challenges. Definition and History of AI , Applications and Impact of AI in Various Domains , Types of AI: Narrow AI, General AI, and Super AI , Intelligent Agents, Agents and Environments, Concept of Rationality, Nature of Environments, Structure of Agents. AI in Problem Solving: State Space Representation , AI Ethics and Challenges

Case studies : AI Applications with demonstration like sentiment analysis, Obstacle detection etc.

Solving Problems by Searching, Problem-Solving Agents, Example Problems, Search Algorithms, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions, Search in Complex Environments, Local Search and Optimization Problems

Case Studies : Siemens & GE – Leveraging AI, Big Data, and Robotics in Smart Manufacturing (4IR Context)

Game Theory, Optimal Decisions in Games, Heuristic Alpha–Beta Tree Search, Monte Carlo Tree Search, Stochastic Games, Partially Observable Games, Limitations of Game Search Algorithms, Constraint Satisfaction Problems (CSP), Constraint Propagation: Inference in CSPs, Backtracking Search for CSPs.

Case Studies : Google DeepMind – AI for Energy Efficiency in Data Centers and Game Playing (e.g., AlphaGo)

Logical Agents, Knowledge-Based Agents, The Wumpus World problem, Propositional Logic: A Very Simple Logic, Propositional Theorem Proving, Effective Propositional Model Checking, Agents Based on Propositional Logic, First-Order Logic, Representation Revisited, Syntax and Semantics of First- Order Logic, Using First-Order Logic, Knowledge Engineering in First-Order Logic. Inference in First-Order Logic, Propositional vs. First-Order Inference, Unification and First-Order Inference, Forward Chaining, Backward Chaining, Resolution, Knowledge Representation

Case Studies :BBC & Amazon Alexa – AI-Driven Interactive Media with Logic-Based Chatbots

Automated and Classical Planning, Hierarchical Planning, Planning under Uncertainty, Analysis of Planning Approaches, Limits of AI, Ethics of AI, Future of AI, AI Components ,Introduction of Generative AI (GPT, DALL·E), Explainable AI (XAI), Federated Learning, Edge AI

Case Studies : OpenAI’s GPT-4 & ChatGPT – Impacts of Generative AI and Prompt Engineering