Artificial Intelligence Syllabus in Hindi

OVERVIEW OF AI
  • What is Artificial Intelligence?
  • Philosophy of AI
  • Goals of AI
  • What Contributes to AI?
  • Programming Without and With AI
  • What is AI Technique?
  • Applications of AI
  • History of AI

INTELLIGENT SYSTEMS
  • What is Intelligence?
  • Types of Intelligence
  • What is Intelligence Composed of?
  • Difference between Human and Machine Intelligence.

 RESEARCH AREAS OF AI 
  • Real Life Applications of Research Areas
  • Task Classification of AI

AGENTS AND ENVIRONMENTS
  • What are Agent and Environment?
  • Agents Terminology
  • Rationality
  • What is Ideal Rational Agent?
  • The Structure of Intelligent Agents
  • The Nature of Environments
  • Properties of Environment

POPULAR SEARCH ALGORITHMS
  • Single Agent Pathfinding Problems
  • Search Terminology
  • Brute-Force Search Strategies
  • Informed (Heuristic) Search Strategies
  • Local Search Algorithms

FUZZY LOGIC SYSTEMS
  • What is Fuzzy Logic?
  • Why Fuzzy Logic?
  • Fuzzy Logic Systems Architecture
  • Example of a Fuzzy Logic System
  • Application Areas of Fuzzy Logic
  • Advantages of FLSs
  • Disadvantages of FLSs

NATURAL LANGUAGE PROCESSING
  • Components of NLP
  • Difficulties in NLP
  • NLP Terminology
  • Steps in NLP
  • Implementation Aspects of Syntactic Analysis

EXPERT SYSTEMS
  • What are Expert Systems?
  • Capabilities of Expert Systems
  • Components of Expert Systems
  • Knowledge Base
  • Inference Engine
  • User Interface
  • Expert Systems Limitations
  • Applications of Expert System
  • Expert System Technology
  • Development of Expert Systems: General Steps
  • Benefits of Expert Systems.

ROBOTICS
  • What are Robots?
  • What is Robotics?
  • Difference in Robot System and Other AI Program
  • Robot Locomotion
  • Components of a Robot
  • Computer Vision
  • Tasks of Computer Vision
  • Application Domains of Computer Vision
  • Applications of Robotics

NEURAL NETWORKS
  • What are Artificial Neural Networks (ANNs)?
  • Basic Structure of ANNs
  • Types of Artificial Neural Networks
  • Working of ANNs
  • Machine Learning in ANNs
  • Bayesian Networks (BN)
  • Applications of Neural Networks

AI ISSUES

 TERMINOLOGY
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