In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem-solving".    
THE CURRICULUM

The course is intended to provide a fairly good working knowledge which will help build the future with an exciting career in the fast-growing field of artificial intelligence. If you love computer science, mathematics and data analysis, then enroll and start learning about the applications of artificial intelligence and it will help you to move forward.

ELIGIBILITY CRITERIA    
B.Sc. or B.E./B.Tech.

SYLLABUS

  1. Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  2. Building intelligent agents (search, games, logic, constraint satisfaction problems) 
  3. Intelligent decision making
  4. Logic reasoning, unification and deduction processes 
  5. Fuzzy Logic and their Applications 
  6. Building a tiny machine learning application
  7. Supervised and unsupervised learning
  8. Genetic algorithms power 
  9. Real Genetic Algorithm examples to optimize business processes 
  10. Building a small computer vision application
  11. Machine Learning algorithms 
  12. Applications of AI (Natural Language Processing, Robotics/Vision)

DURATION 80 hours(6 weeks)

COURSE FEE ;8,000/-

FACILITIES

  • One-2-One Personalized Training
  • Expert Faculty Member Team
  • Hi-Tech Lab with all Modern facilities
  • Well Designed Course Materials