Artificial intelligence

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Artificial Intelligence

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Course Details

AI is a cutting-edge technology, which deals with performing intelligent activities using technology.

AI is nothing but algorithms which are accurate and precise in its result. That is the reason many companies recruit high-paying AI professionals.

Our training helps you get knowledge on concepts of Deep Learning, Machine Learning, Analytics vs Data Science, Big Data, Data Science Deep Dive, Python, Numpy & Pandas and Statistics.

We provide the best Artificial Intelligence Training in Chennai with placement support. We also provide one-on-one training in online and classroom training sessions by industry experts as trainers.

Lessons 1: Deep Learning: A revolution in Artificial Intelligence

Limitations of Machine Learning

Lessons 2: What is Deep Learning?

Need for Data Scientists
Foundation of Data Science
What is Business Intelligence

What is Data Analysis
What is Data Mining

Lessons 3: What is Machine Learning?

Value Chain
Types of Analytics
Lifecycle Probability
Analytics Project Lifecycle
Advantage of Deep Learning over Machine learning

Reasons for Deep Learning
Real-Life use cases of Deep Learning
Review of Machine Learning

Lessons 4: Data

Basis of Data Categorization
Types of Data
Data Collection Types
Forms of Data & Sources
Data Quality & Changes
Data Quality Issues

Data Quality Story
What is Data Architecture
Components of Data Architecture
OLTP vs OLAP
How is Data Stored?

Lessons 5: Big Data

What is Big Data?
5 Vs of Big Data
Big Data Architecture
Big Data Technologies
Big Data Challenge

Big Data Requirements
Big Data Distributed Computing & Complexity
Hadoop
Map Reduce Framework

Lessons 6: Data Science Deep Dive

What Data Science is
Why Data Scientists are in demand
What is a Data Product
The growing need for Data Science
Large Scale Analysis Cost vs Storage
Data Science Skills
Data Science Use Cases
Data Science Project Life Cycle & Stages
Data Acuqisition

Where to source data
Evaluating input data
Data formats
Data Quantity
Data Quality
Resolution Techniques
Data Transformation
File format Conversions
Annonymization

Lessons 7: Python

Python Overview
About Interpreted Languages
Advantages/Disadvantages of Python pydoc
Starting Python
Interpreter PATH
Using the Interpreter
Running a Python Script
Using Variables
Keywords
Built-in Functions

StringsDifferent Literals
Math Operators and Expressions
Writing to the Screen
String Formatting
Command Line Parameters and Flow Control.
Lists
Tuples
Indexing and Slicing
Iterating through a Sequence
Functions for all Sequences

Lessons 8: Numpy & Pandas

Learning NumPy
Introduction to Pandas
Creating Data Frames
GroupingSorting

Plotting Data
Creating Functions
Slicing/Dicing Operations.

Lessons 9: Deep Dive – Functions & Classes & Oops

Functions
Function Parameters
Global Variables
Variable Scope and Returning Values. Sorting

Alternate Keys
Lambda Functions
Sorting Collections of Collections
Classes & OOPs

Lessons 10: Statistics

What is Statistics
Descriptive Statistics
Central Tendency Measures
The Story of Average
Dispersion Measures
Data Distributions
Central Limit Theorem
What is Sampling
Why Sampling
Sampling Methods

Inferential Statistics
What is Hypothesis testing
Confidence Level
Degrees of freedom
what is pValue
Chi-Square test
What is ANOVA
Correlation vs Regression
Uses of Correlation & Regression

Reviews

CLIENTS