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TECHINAUT

B LEVEL

4.5 (15)
NIELIT

Artificial Intelligence and Neural Networks

BE2-R4- B level (NIELIT)

The main objective of the course is to provide insight into the artificial intelligence, neural networks and applications. This course will enable students to bring together an identifiable core of ideas, techniques, and applications that characterize the emerging field of Artificial Intelligence.

Artificial Intelligence

11 Lessons

Artificial Intelligence

120 Hours - (Theory: 48 hrs + Practical: 72 hrs)

Artificial Intelligence

100+ students enrolled

Overview
Course Description

The module is designed to equip a student to use computers for professional as well as day to day use. It provides theoretical background as well as in-depth knowledge of Software/ packages.

Requirements
  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.
Course Content
21 Lectures 10:56:11
  • Artificial IntelligenceLecture 1.1 Natural & Artificial Intelligence, Definitions of AI

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.2 Nature of AI Solutions, Testing Intelligence

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.3 AI Techniques, Testing Intelligence

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 1.4 Data Pyramid, Computer Based Information Systems in the Pyramid

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.1 Problems and Problem Spaces

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.2 Problem Characteristics, Production Systems

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.3 Control Strategies

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 2.4 Exhaustive Searches and Blind Methods

    Artificial Intelligence 02:53
  • Artificial IntelligenceLecture 3.1 Introduction and Characteristics of Weak Methods

    Artificial Intelligence and Problem solving 02:53
  • Artificial IntelligenceLecture 3.2 Heuristic Search Techniques, Generate and Test

    Artificial Intelligence and Problem solving 02:53
  • Artificial IntelligenceLecture 3.3 Hill Climbing, Branch and Bound technique

    Artificial Intelligence and Problem solving 02:53
  • Artificial IntelligenceLecture 3.4 Best First Search and A* Algorithm

    Artificial Intelligence and Problem solving 02:53
  • Artificial IntelligenceLecture 3.5 Problem Reduction, AND / OR graphs

    Artificial Intelligence and Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.1 Knowledge Representation (KR)

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 4.2 Using Predicate logic

    Problem solving 02:53
  • Artificial Intelligence and Problem solvingLecture 5.1 Knowledge Based Systems (KBS) Architecture

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.2 Difficulties with KBS Development Process

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 5.3 Knowledge Acquisition, Knowledge Update

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.1 Crisp and Fuzzy Logic

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.2 Fuzzy Membership Functions

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.3 Fuzzy Rule Based Systems

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.4 Probability and Bayes’ Theorem

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.5 Certainty factors, Dempster-Shafer theory

    Artificial Intelligence and Problem solving 02:53
  • Problem solvingLecture 6.6 Non Monotonic Reasoning and Truth Monitoring Systems

    Artificial Intelligence and Problem solving 02:53
  • AI ProgrammingLecture 7.1 Introduction to AI Languages like LISP, CLISP

    AI Programming 02:53
  • AI ProgrammingLecture 7.2 Introduction to PROLOG Programming

    AI Programming 02:53
  • AI ProgrammingLecture 8.1 Introduction to Natural Language Processing

    AI Programming 02:53
  • AI ProgrammingLecture 8.2 Syntactic Processing, Semantic Analysis

    AI Programming 02:53
  • Lecture 8.3 Parsing techniques, Context –free grammar

    AI Programming 02:53
  • Lecture 8.4 Recursive Transitions Nets

    AI Programming 02:53
  • AI ProgrammingLecture 9.1 Introduction to Neural Computing and Artificial Neural Network

    AI Programming 02:53
  • AI ProgrammingLecture 9.2 Fundamental Concepts

    AI Programming 02:53
  • AI ProgrammingLecture 10.1 Hopfield Model, Parallel Relaxation

    AI Programming 02:53
  • AI ProgrammingLecture 10.2 Perceptron, Lineraly Separable Problems

    AI Programming 02:53
  • AI ProgrammingLecture 10.3 Multi layer Perceptron, Non-Lineraly Separable Problems

    AI Programming 02:53
  • AI ProgrammingLecture 10.4 Self Organizing Networks: Kohonens Networks

    AI Programming 02:53
  • Paradigms in ArtificialLecture 11.1 Objectives of Learning, Hebb’s Rule

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 11.2 Delta Rule, Supervised Learning

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 11.3 Unsupervised Learning

    Paradigms in Artificial 02:53
  • AI ProgrammingLecture 10.4 Self Organizing Networks: Kohonens Networks

    Paradigms in Artificial 02:53
About Us
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TECHINAUT

A LEVEL

4.5 Instructor Rating
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100+ Courses

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Industry Expert

Techinaut

45000+ students enrolled

UI/UX Designer, with 7+ Years Experience. Guarantee of High Quality Work.

Skills: Web Design, UI Design, UX/UI Design, Mobile Design, User Interface Design, Sketch, Photoshop, GUI, Html, Css, Grid Systems, Typography, Minimal, Template, English, Bootstrap, Responsive Web Design, Pixel Perfect, Graphic Design, Corporate, Creative, Flat, Luxury and much more.

Available for:

  • 1. Full Time Office Work
  • 2. Remote Work
  • 3. Freelance
  • 4. Contract
  • 5. Worldwide
Reviews
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Nicole Brown

UX/UI Designer

4.5 Instructor Rating

“ This is the second Photoshop course I have completed with Cristian. Worth every penny and recommend it highly. To get the most out of this course, its best to to take the Beginner to Advanced course first. The sound and video quality is of a good standard. Thank you Cristian. “

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