Artificial Intelligence Training with Python in Noida

Artificial Intelligence Training with Python Certification Course Fee, Syllabus and Placement

Are you searching for the institute for Artificial Intelligence using Python training institute in Noida? JavaTpoint is well-known in Noida for providing high-quality training and education Noida, and we are glad to state that JavaTpoint is one of the best AI Python training providers in this city. Our institute offers Python training sessions with an actual project led by a professional trainer. 

Our Artificial Intelligence with Python training program in Noida is designed for students, graduates, working professionals, and freelancers. All of our AI with Python trainers have extensive experience in the training sector and offer end-to-end training about the course with deeper dives into specific topics to help you build a winning career for any profile. We give training that is tailored to industry standards, making it a 100% job-guaranteed training program.

What is Artificial Intelligence and why it is important?

Artificial Intelligence (AI) is a cutting-edge computer science technology that creates machine-like human intelligence. It is the technology of the future, in which machines will be able to work instead of humans. This increased volume of data was generated by the machine, which allows them to quickly analyze the work, absorb the function, and make difficult data decisions. Artificial intelligence (AI) is prevalent in many places and plays an important part in our daily lives. It is used for a variety of things, including decision-making, computer systems, languages, and a variety of other applications.

The following are some of the vast importance of artificial intelligence:

• Artificial intelligence and its components have long been recognised for their importance. They are seen as instruments and approaches for improving the world. It is also not essential to visit these high-tech devices to use them. Just look about, and we are sure artificial intelligence is aiding you with the majority of your chores.
• Its importance arises from the fact that it simplifies our lives. These technologies, which are primarily designed to decrease human labor as much as possible, help humans enormously. Consequently, manual intervention is the last thing that may be asked or visible while operating parts associated to this technology.
• These machines have the potential in order to speed up your operations and procedures while keeping a high degree of precision and accuracy, which is why they are such a useful and important tool.
• These technologies and apps are not only useful in our daily lives, but they also serve to make the world a more error-free place through their simple and practical applications. It also has an influence on and is significant in other domains.

Why to Enroll in Our AI using Python Training Course in Noida?

We concentrate on high-quality training, innovative concepts, smart classes, 100% job help, as well as opening doors to new possibilities. Our institute also offers Online Artificial Intelligence with Python Training in Noida. We, at JavaTpoint in Noida, offer the best AI using Python course in Noida with a 100% placement rate. A lot of students have been trained in AI using Python by certified trainers in Noida.

What our students will get during AI using Python Training Course?

Get personalized student assistance, industry expert mentors, career services, and hands-on projects. Counseling on a career path Resolving Doubts in a Timely Manner. Salary Increase by 50%, Career Counseling Case Studies + Tools, and a Certificate.

Why learn AI using Python?

It's remained a popular choice among data scientists who use it in order to create Machine Learning applications or to perform other scientific computations. AI with Python Training in Noida reduces the development time of the software by half thanks to its simple syntax and easy compilation feature. The notion is very simple to grasp. With its built-in debugger, debugging any form of program is a breeze in this language. It has been adapted to Java and.NET virtual machines and runs on every well-known type of platform, including Windows, Linux/Unix, as well as Mac OS. Python is an open-source language that anybody can use for free, even for commercial applications, thanks to its OSI-approved open source license. With the daily improvement technologies, Python has emerged as the most popular AI programming language, indicating it is the "Next Big Thing" and a must-have for AI professionals.

Job Opportunities after Python Training

In the market, there is a rapid increase in demand for this language in the development sector. Organizations are trying to find skilled candidates for web application developers. A candidate can quickly learn some programming abilities using AI Using Python Training in Noida, India. In this field, the carrier scope is enormous. A candidate may be hired as a Python Developer, Data Analyst, or a combination of the two. Python is a crucial component of your CV when you are finding a job.

Other career profiles that can be obtained by learning this course include Research Analyst, Software Engineer, and Software Developer, among others. Being a successful developer or researcher necessitates much training. The good news is that upon successful completion of the training, JavaTpoint IT Certification is awarded, which provides a plethora of chances for aspirants n the industries.

Why JavaTpoint?

JavaTpoint has been a well-known name in the list of institutions for many years in which a dedicated staff of highly skilled instructors finds, assesses, executes, and provides the Best AI Using Python Training Institute in Noida to our students. Our trainers in the institute use a well-defined methodology to help discover opportunities, develop the best solution, and implement the solution maturely. We have the top teachers in the globe to deliver the Best AI Using Python Training in Noida, all of whom are highly certified and experts in their fields. We believe you are the future of the IT sector, and we are preparing you for a position with top MNCs at our institute.

Additionally, we have a Training & Placement cell that offers all possible assistance to candidates in their efforts to find employment and internships in a variety of fields and the Best AI Using Python Training Internships in Noida. The placement department collaborates with other administrations in order to meet the needs of various sectors. In our institute, aggressive and business-savvy Placement Cells is available that take pride in having a strong, skilled network across a wide range of industries. Also, it offers 100% job placement support to all understudies. It works closely with each student to guarantee that they are placed with reputed MNCs within a limited time period after graduation. Therefore, we are the Best AI Using Python Training in Noida.

Is basic Python enough for AI?

If you want to get into Artificial Intelligence, Python is more than adequate of a programming language. To become a full-fledged AI with Python engineer, you will need to understand ML algorithms, database management languages, mathematics, and statistics, among other things.

The Future Scoop of Artificial Intelligence with Python

How Artificial Intelligence Will Change the World?

Artificial intelligence is having an impact on the future of practically every industry and individual on the world.

AI will continue to evolve and transform industries, businesses, as well as our daily lives, according to Myles Gilsenan, vice president of data, analytics, and AI at Apps Associates. As a broad range of AI disciplines mature and become easier in order to build and deploy, 2022 is shaping up to be an important evolutionary year," he said.

More industries will begin to embrace AI in the coming days to meet shifting customer demands and accelerate digital transformation. According to Ryan Wilkinson, IntelliShift's chief technology officer, AI will create even more meaningful data when integrated with connected commercial vehicles, in-car sensors, and sophisticated health monitors.

Artificial intelligence (AI) has been and will continue to be the driving force behind the development of technologies like big data, robotics, and the Internet of Things (IoT).

Why is Python best for AI?

Artificial intelligence is thought to be the next big thing in the future in technology. It has already spawned a slew of applications. Consequently, it has piqued the curiosity of numerous businesses and researchers. However, the main question here is: in which programming language can these AI applications be created? Lisp, Prolog, C++, Java, and Python are some of the programming languages that can be used to create AI applications. Among them, the Python programming language is gaining a lot of traction.  

Python is often regarded as the greatest AI programming language. It has excellent AI libraries and frameworks as well. It has computational, statistical, and scientific computing capabilities, among other things. Python as a programming language has a number of advantages, like it offers developers the capacity to construct sophisticated AI systems and being a popular option among businesses; the reasons are as follows:

• Simple syntax & less coding
• Inbuilt libraries for AI projects

What skills will you learn in Artificial Intelligence using Python course?

You will be able to do the following in this Artificial Intelligence using Python course:

• Gain an understanding of artificial intelligence basics and how these technologies are altering the AI industry.
• Learn the important terms used in the AI field.
• Through use examples, you will learn about AI's most important applications.

How Does Javatpoint Provide Placement Assistance to Students?

JavaTpoint is one of the premier Artificial Intelligence training with Python institutions in Noida, providing students with the best placement support. We have aggressive and business-savvy placement department, which keeps students informed about recent employment openings in a variety of industries. They teach applicants AI using Python on real-world projects. Candidates seeking employment and the Best AI with Python coaching in Noida can count on the Training & Placement unit for all of their needs. Our professional resume writer assists students in creating their resumes. We also provide internships at leading firms for proper practical training. With the best employment chances, our students are even placed at top organizations like Accenture, TCS, Wipro, and a variety of other companies that offer high salary packages to the students.

Python with AI Course Curriculum

Introduction to Python

 What is Python?

 Features of Python

 Installation of Python

 Execution of Python Program

 Installation of IDE (Anaconda/PyCharm/Visual Studio/Sublime/Atom)

 How to work on IDE?

 Debugging Process in IDE

 What is PIP?

 What is Cpython?

 What is Jython?

 What is Ironpython?

 What is Pypy?

 Python versions

 How to give input?

 Printing to the screen

 Understanding the print() function

 Python Comments

 Python Keywords

 Python program in debugger mode

 Python interpreter architecture

 Python byte code compiler

 Python virtual machine (PVM)

 Python script mode

 How to compile Python program explicitly

Python Data Types

 About: Integer, Float, Complex Numbers, Boolean, nonetype

 String, List, Tuple, range

 Dictionary

 Set, Frozenset

 Type Conversion

Python Conditional Execution

 Boolean expressions

 Logical operators

 Conditional execution

 Alternative execution

 Chained conditionals

 Nested conditionals

 Short-circuit evaluation of logical expressions

Python Loop Statement

 Introduction to while Loop

 Introduction to for Loop

 Understanding the range() function

 What is Break statement in for Loop?

 What is Continue statement in for Loop?

 What is Enumerate function in for Loop?

Python Strings

 A string is a sequence

 Getting the length of a string using len

 Traversal through a string with a loop

 String slices

 Strings are immutable

 Looping and counting

 The in operator

 String comparison

 String methods

 Parsing strings

 Format operator

Python List

 Introduction to List

 How to create and access list

 Traversing a list

 What are List indices

 Lists and functions

 Deleting elements

 Basic List operations

 List slices

 List Comprehension

 List built-in methods

 Aliasing

 List arguments

Python Tuples

 Introduction to tuple

 How to access tuple element

 Basic tuple operations

 How to compare tuples?

 How to create nested tuple?

 About Tuple functions and methods

 How to use tuples as keys in dictionaries?

 How to Delete Tuple?

 About Slicing of Tuple

 What is Tuple immutability?

Python Set

 How to create a set, and iteration over set

 Python set operations

 Python set methods

 Set built-in methods

 Python Frozensets

Python Dictionary

 Introduction to dictionary

 How to declare dictionary?

 Properties of dictionary

 Dictionary as a set of counters

 Accessing Items from Dictionary

 Python Hashing

 Updating Dictionary

 Copying Dictionary

 Advanced text parsing

 Dictionary basic operations

 Advanced text parsing

 Sorting the Dictionary

 Looping and dictionaries

 Dictionary built-in methods

Variables, expressions, and statements

 Values and types

 Variables

 Variable names and keywords

 Statements

 Operators and operands

 Expressions

 Order of operations

 Modulus operator

 String operations

 Comments

 Choosing mnemonic variable names

Python Functions

 What is a Function?

 Why functions?

 Define and call a function

 Types of Functions

 Built-in functions

 Significance of Indentation (Space) in Python

 Return Statement

 Adding new functions

 Types of Arguments in Functions

 Parameters and arguments

 Default Arguments, Non-Default Arguments

 Keyword Arguments, Non-keyword Arguments, Arbitrary Arguments

 Type conversion functions

 Scope of variables

 Anonymous Functions

 Math functions

 Random numbers

 Map(), filter(), reduce() functions

 Definitions and uses

 Generator function

 Decorator function

 Python Iterator

 Function as arguments

 Nested functions

 Flow of execution

 Fruitful functions and void functions

 Functions as return statement

 Function return statement

 Closure

Python Iteration

 Updating variables

 The while statements

 Infinite loops

 Finishing iterations with continue

 Definite loops using for

•  Loop patterns
  • Counting and summing loops
  • Maximum and minimum loops

Advanced Python

Exception Handling in Python

 What is Exception Handling

 Try Expert

 Many Exceptions

 Else in Exception Handling

 Finally Keyword

 Raise an exception

 Common RunTime Errors in Python

 Try …Except

 Try …Except …else

 Try …finally

 Abnormal termination

 Python Errors

 Hashability

Python Class and Object

 Introduction to OOPs Programming

 Object Oriented Programing System and its Principles

 Basic concepts of Object and Classes

 How to define Python Classes

 Self-variable in Python

 Access Modifier

 What is inheritance and its Types?

 How inheritance Works

Python Regular Expressions

 What is Regular Expression?

 Regular Expression Syntax

 Extracting data using regular expressions

 What is the need of Regular expressions?

 Character matching in regular expressions

 Combining searching and extracting

 About Re module

 About Regular expression Patterns

 About Literal characters and Meta characters

 Functions/ methods related to rogex

Modules and Packages

 Why Modules?

 How to Import Modules?

 Script v/s Module

 Standard v/s third party Modules

 Why packages

File Handling

 About File Handling

 How to create a File

 Pass by reference vs Value

 Append Data to a File

 How to read a File

 How to Read File line by line

 About Files modes and its syntax

 Lambda Expressions

 Understanding File Handling with Block

Python Data Structure

 How to implement Lists and its methods?

 How implement Tuple and its methods?

 How implement Set and its methods?

 Difference between List, Tuple and Set

 How implement Dictionary and its methods?

Database

 Introduction to Database

 About Database concepts

 What is Database Package?

 Understanding Data Storage

 Basic data modeling

 Database Browser for SQLite

 Structured Query Language summary

 About Relational Database (RDBMS) concepts

 Hosting a Database on Cloud/Local System

SQL

 SQL (Structured Query Language) Basics

 DML (Data Manipulation Language), DDL (Data Definition Language), DQL (Data Query Language)

 How to create, alter and drop the DDL?

 How to insert, update, delete and merge the DML?

 How to select the DQL?

 SQL constraints

 Primary and foreign key, composite key

 How to select distinct?

•  SQL operators
  • Addition (+)
  • Subtraction (-)
  • Multiplication (*)
  • Division (/)
  • Modulus (%)
•  SQL Comparison Operators:
  • =
  • !=
  • <>
  • >
  • <
  • >=
  • <=
  • !<
  • !>
•  SQL Logical Operators:
  • ALL
  • AND
  • ANY
  • BETWEEN
  • EXISTS
  • IS NULL
  • OR
  • UNIQUE
•   SQL like, where, order by, view, joins, aliases
•  Joins:
  • Inter Join
  • Full (Outer) Join
  • Left (Outer) Join
  • Right (Outer) Join
•  MySQL Functions
•  String Functions:
  • Char_length
  • Lower
  • Reverse
  • Upper
•  Numeric Functions:
  • Max
  • Min
  • Sum
  • Avg
  • Count
  • abs
•  Date Functions:
  • Curdate
  • Curtime
  • Now

Python for Data Analytics

NumPy Package

 What is NumPy array?

 Array Constructor

 Introduction to Array

 Range() function

 LINPAC

 How to create 2-D Arrays

 About: Vector Operation and Matrix Operation

 What is Array indexing and Slicing?

 Indexing in 1-D Arrays

 Indexing in 2-D Arrays

 Slicing in 1-D Arrays

 Slicing in 2-D Arrays

 Scalar Vectorization

 Array Comparison

Pandas Package

 Introduction to pandas

 Pandas and Data Manipulation

 What is Labeled and structured data?

 What are Series and DataFrame objects?

 What is Data Cleansing?

 What is Data normalization?

 What is Data visualization?

 Deleting and Dropping Columns

 Series

 Apply() function

 Creating Series

 Data Frame and Basic Functionality

 Head() function

 About: Merges and Joins

 What is Data inspection?

 What is Data fill?

 Mean() function

 Data Frame Manipulation

 Indexing and missing Values

 Grouping and Reshaping

How to load datasets

 From excel

 From CSV

 From HTML table

Accessing Data from DataFrame

  at and iat

 loc() Function and Iloc() function

 head() Function and tail() Function

Exploratory Data Analysis (EDA)

 About describe() function

 groupby() function

 crosstab() function

 About Boolean slicing and query

Data Cleaning

 About: Map() and apply() functions

 How to combine Data Frames?

 How to add and remove rows and columns?

 How to sort data?

 How to handle missing values?

 How to handle duplicates?

 How to handle data error?

 How to handle Date and Time?

 Hosting a Database on Cloud or local system

 CRUD Operation on Database Tables trough Python

 Processing and Cleaning Data through Pandas methods

 Dealing with missing values

Python for Data Visualization:

 Introduction to Data Visualization

Matplotlib package:

 Introduction to MatPlotlib Library

 How to use matplotlib.pyplot interface

 Types of charts

 How to plot Histogram and pie chart?

 About: Bar Chart, Stacked Chart, Scatter plot

 Outlier detection using Boxplot

 Adding data to an Axes object

 How to customize plots?

 How to customize Data appearance?

 How to create a grid of subplots?

 Area plot for Indexed Data

Seaborn package:

 Introduction to Seaborn library

 How to show Seaborn Plots?

 How to use Seaborn with Matplotlib defaults?

 How to set xlim and ylim in Seaborn?

 Visualizing networks and interconnections

Introduction to Statistics

 Sample and population

•  Measures of central tendency:
  • Arithmetic mean
  • Harmonic mean
  • Geometric mean
  • Mode
  • First quartile, Second quartile (median), Third quartile
  • Standard deviation
•  Graphical exploratory Data Analysis
•  How to plot and compute simple summary Statistics
•  Quantitively exploratory Data Analysis

Probability Distribution

 Introduction to probability

 What is Conditional Probability?

 What is Normal Distribution?

 What is Uniform Distribution?

 What is Exponential Distribution?

 About Right and Left skewed Distribution

 What is Random Distribution?

 About Central Limit Theorem

 Probabilistically- Discrete variables

 Statistical interface rests upon probability

 Thinking Probabilistically- Continuous variables

Hypothesis Testing

 What is Normality?

 What is Mean Test?

 About T-test

 About Z-test

 What is ANOVA test?

 What is Chi square test?

 About Correlation and covariance

Advanced Excel:

•  Data Visualization:
  • How to specify a valid range of values for a cell?
  • How to specify a list of valid values for a cell?
  • How to specify custom validations based on formula for a cell?
•  Working with templates:
  • How to design the structure of a template?
  • How to use templates for standardization of worksheets?
•  Sorting and Filtering Data
  • How to sort tables?
  • How to use multiple-level sorting and custom sorting?
  • How to filter data for selected view?
  • How to use advanced filter options?
•  Working with Reports
  • How to create subtotals and multi-level subtotals?
  • How to create, format and customize Pivot tables and Pivot charts?
  • How to use advanced options of Pivot tables?
  • How to use external data sources?
  • How to create slicers?
•  WhatIf Analysis
  • How to seek goal?
  • How to create data tables?
  • How to create scenario manager?
•  Charts
  • How to use and format charts?
  • How to use 3D Graphs?
  • How to use Bar and Line chart together?
  • How to use Secondary Axis in Graphs?

Tableau:

•  Tableau Home
  • Tableau overview
  • Environment setup
  • About Navigations
  • About Design flow
  • About Files Types
  • About Data Terminology
•  Data Sources:
  • How to customize data view?
  • How to extract data?
  • How to use field operations?
  • How to edit metadata?
  • What is Data joining?
  • What is Data Blending?
•  Tableau Worksheets:
  • How to add worksheets?
  • How to rename and reorder worksheets?
  • How to save and delete worksheets?
•  Tableau Calculation:
  • Numeric Calculation operations and Functions
  • String Calculation operations and Functions
  • Date Calculation functions
  • Table Calculation functions
  • Load expressions and operations
•  Tableau Sorting and Filter:
  • How to use basic sorting and basic filters?
  • How to use quick filters, conditional filters, top filters, context filters and Filter operations?

BONUS

 How big is Big Data?

 How to store BIG DATA in Commodity Hardware's?

 Current processing frameworks

 Cluster Computing architecture insights

 Maintaining High Availability of data

 About Market domain and its growth?