CBCS106 Artificial Intelligence

₹17,000.00
Description /Overview of Course

Theoretical and practical approaches to designing intelligent systems. Example tasks range from game playing to hardware verification. Core topics include knowledge representation, search and optimization, and automated reasoning. Application areas include natural language processing, machine vision, machine learning, and robotics.

Prerequisites

Bachelor Degree In Computer Science

 

Class Breakdown -Topics
  1. Agents and Agenthood
  2. Search
    • Uninformed
    • Informed
    • Game Theory and Adversarial Search
  3. Knowledge Representation and Reasoning
    • Logical Representations: Reasoning and Inference
    • Uncertain Knowledge
      • Bayes’ Rule
      • Probabilistic Reasoning
      • Bayes Nets
      • Hidden Markov Models
  4. Planning
    • Classical Planning
    • Robot Motion Planning
    • Planning Under Uncertainty: Markov Decision Processes
  5. Learning
    • Reinforcement Learning
    • Supervised Learning
    • Unsupervised Learning
  6. Advanced Topics
    • Natural Language Processing
    • Machine Vision
    • Robot Learning
    • Algorithmic Game Theory
  7. Philosophy of AI
  8. Social and Ethical Issues

Artificial Intelligence

Rs 17,000

(24 Lectures)

Course Content

Time: 10 weeks

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₹17,000.00

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Includes

  • 46 hours on-demand video
  • 16 Articles
  • 39 Supplemental Resources
  • Full lifetime access
  • Language: English
  • Certificate of Completion

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