Udemy

Artificial Intelligence and Deep learning techniques

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  • 1,036 Students
  • Updated 6/2024
  • Certificate Available
4.3
(123 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 23 Minute(s)
Language
English
Taught by
Saravanan T R
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(123 Ratings)

Course Overview

Artificial Intelligence and Deep learning techniques

Searching Techniques, Knowledge and Reasoning Approaches, Deep Learning Techniques

The course Artificial Intelligence and Deep learning techniques provides  the ,Knowledge on problem formulation and solving in AI and ML for real world situation,Impress interviewers by showing an understanding of the Knowledge and Reasoning Approaches with the learning techniques,exemplify the uninformed and informed search technique procedures for real world problems,Scenario based learning for all Artificial Intelligence and Deep learning techniques,Deep knowledge about Learning in Deep Learning and Neural Networks,Provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. Build your deep learning foundations and learn effective applications,Work on curated industry Projects in cliennt side as a industry Expert, Gain knowledge in problem formulation and building intelligent agents, Understand the search technique procedures applied to real world problems, Understand the types of logic and knowledge representation schemes, Acquire knowledge in planning and learning algorithms, Gain knowledge in AI Applications and advances in Artificial Intelligence, Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications, Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks, Build a goodl portfolio with entire Artificial Intelligence and Deep learning techniques

Course Content

  • 3 section(s)
  • 14 lecture(s)
  • Section 1 Introduction to Artificial Intelligence
  • Section 2 Knowledge and Reasoning Approaches
  • Section 3 Machine Learning and Deep Learning

What You’ll Learn

  • Understand the search technique procedures applied to real world problems
  • Represent various knowledge representation techniques to solve complex AI problems
  • Understand Deep neural network and layered learning approach with real world Scenario problems
  • Gain knowledge about various deep learning algorithm

Skills covered in this course


Reviews

  • M
    Matin Mohammadi
    1.0

    I can not understand what the instructor says. not clear in the way he talks, or pronounces, and the tone he uses to speak

  • V
    Vedank Singh kirola
    3.0

    ..

  • A
    Aditya Sharma
    4.5

    really nice lots to learn

  • A
    Appaji sree dharma shasta rao
    4.5

    excellent explaination

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