Artificial Intelligence

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About Course

Learn the fundamentals of AI, including intelligent agents, search algorithms, adversarial games, logical reasoning, and uncertainty management. Explore applications of AI with practical insights into machine learning, Bayesian networks, and decision-making systems.

 
 
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What Will You Learn?

  • Concept of intelligence and AI approaches
  • Applications and limitations of AI
  • Intelligent agents and rationality
  • Problem-solving using search strategies
  • Informed and uninformed search algorithms
  • Adversarial search and game strategies
  • Constraint satisfaction problems (CSP)
  • Logical agents and theorem proving
  • First-order logic and inference methods
  • Uncertainty handling with Bayesian networks
  • Supervised and unsupervised learning basics

Course Content

Unit 1: Introduction to AI & Intelligent Agents
Understanding the concept of intelligence, AI approaches, applications, and intelligent agents.

  • Video Lecture

Unit 2: Solving Problems by Searching
Understanding problem-solving using search strategies, both informed and uninformed, and local search optimizations.

Unit 3: Adversarial Search & Logical Agents
Understanding adversarial search for two-player games, constraint satisfaction problems (CSP), and logical agents.

Unit 4: First-Order Logic
Understanding propositional and first-order logic, proof techniques, and inference methods.

Unit 5: Uncertainty & Learning
Understanding probability-based decision-making, Bayesian networks, and machine learning fundamentals.

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