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Artifical Intelligent Workshop

Pre-requisite : None

Target Audience

The basic knowledge of Computer Science is mandatory. The knowledge of Mathematics, Languages, Science, Mechanical or Electrical engineering is a plus.

Duration : 4 Days

Workshop Outline

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 NLU
  • 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

Locations offered

On-demand Anytime Anywhere Instructor led training available

Chennai, Bangalore, Hyderabad, Pune & other major cities in India, USA, UK, Middle east, Dubai & Singapore.

Offers

Early bird / Group / Corporate Group / Festive offers available