Artificial intelligence

Artificial intelligence Training in Hyderabad, Ameerpet

Artificial intelligence (AI) is an area of computer science that seeks to enable computers to behave intelligently, like humans. Some example of AI applications include Robotics, NLP, Voice Recognition, Text Processing, Speech Processing and Computer Vision.

Our training instituteHyderabad provides you Articial Intelligence training in Hyderabad  Our AI Training includes Machine Learning,Deep Learning, Neural Network and Tensor Flow Training

After the classes:

  • Students will Good understanding on Python and AI
  • Deep Learning Concepts are clear and ready towork indivisually

Who gets this training?

  • Robotics Engineer
  • Data Scientist
  • Business Analysts
  • Hadoop Developers
  • Python for Data Science
  • College Graduates
  • Out-line of course contents

    What is intelligence? -Expert Systems-Artificial Intelligence-Searching-Heuristics-Computational Intelligence-Pattern recognition-Natural language processing-Representing knowledge-Neural networks-Applications of AI: Games-playing AI-Applications of AI: Artificial examiners (exam grading)-Robotics-Driverless cars-Civilian applications for drones-Industrial robots-Ethical issues-Robotic input devices-Robotic output devices

  • Subjects of study during this course

    Part-A

    1. Mathematical Foundations   of Computer Science
    2. Data Structures & Algorithms
    3. Advanced Database Management Systems
    4. Fundamentals of Robotics
    5. Elective-I
    6. Elective-II
    7. Data Structures & Programming Lab
    8. Robotics Lab

    Elective-I: Computer Organization & Architecture /E-commerce/Embedded systems,

    Elective IIAdvanced Operating System/ Pattern Recognition/ Natural Language Processing/Computer Graphics & Visual Computing

    Part-B

    1. Artificial Intelligence
    2. Expert Systems
    3. Advanced Robotics
    4. Data Warehousing & Mining
    5. Elective III
    6. Elective IV
    7. Data Warehousing & Mining Lab
    8. AI & Expert Systems Lab
    9. Seminar

    Elective III: Neural Networks& Fuzzy Systems/ Big Data Analytics/ Semantic Web/Database security ,

    Elective IV: Image Processing/ Machine Learning/ Computer Vision


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