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Artificial Intelligence (AI) Training In Chennai

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It aims to create intelligent machines. It has become an essential part of the technology industry.
Modern machine capabilities include the features of Speech recognition, Learning, Planning, Problem solving.

Artificial Intelligence can be classified into

analytical - has only characteristics consistent with cognitive intelligence

human-inspired - has elements from cognitive and emotional intelligence, and

humanized artificial intelligence - shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions with others.

Some of the activities computers with artificial intelligence are

The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields.

The core problems of artificial intelligence include programming computers for certain traits such as:

Knowledge - Knowledge representation and Commonsense knowledge

Reasoning & Problem solving - algorithms that imitated step-by-step reasoning that humans use when they solve puzzles or make logical deductions.

Perception - Machine perception, Computer vision, and Speech recognition

Learning - Machine learning, a fundamental concept of AI research since the field's inception, is the study of computer algorithms that improve automatically through experience.

Planning - is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to decision theory.

Ability to manipulate and move objects

Introduction to Data Science

What is Data Science?

What is Machine Learning?

What is Deep Learning?

What is AI?

Data Analytics & it’s types

Introduction to Python

What is Python?

Why Python?

Installing Python

Python IDEs

Jupyter Notebook Overview

Python Basics

Python Basic Data types



IF statements






Selection by position & Labels

Python Packages



Sci-kit Learn

Mat-plot library

Importing Data

Reading CSV files

Saving in Python data

Loading Python data objects

Writing data to csv file

Manipulating Data

Selecting rows/observations

Rounding Number

Selecting columns/fields

Merging data

Data aggregation

Data munging techniques

Statistics Basics

Central Tendency





Normal Distribution

Probability Basics

What does mean by probability?

Types of Probability

ODDS Ratio?

Standard Deviation

Data deviation & distribution


Supervised Learning

Linear Regression

Linear Equation



R square value

  • What are common uses and/or applications for AI?

    Contract analysis, object detection and classification for avoidance and/or navigation,image recognition, content distribution, predictive maintenance, data processing,automation of manual tasks or data-driven reporting.

  • What are intelligent agents and how are they used in AI?

    Intelligent agents are autonomous entities that use sensors to know what is going on,and then use actuators to perform their tasks or goals.

  • What is TensorFlow and what is it used for?

    TensorFlow is an open-source software library originally developed by the Google Brain Team for use in machine learning and neural networks research and also used for data-flow programming.

  • What is machine learning and how does it relate to AI?

    Machine learning is a subset of AI. The idea is that machines will “learn” and get better at tasks over time rather than having humans constantly having to input parameters.Machine learning is a practical application of AI.

  • What is automatic programming?

    Automatic programming is describing what a program should do and then having the AI system “write” the program.

  • What is a Bayesian network and how does it relate to AI?

    A Bayesian network is a graphical model for probabilistic relationships among a set of variables. It mimics the human brain in processing variables.