Python Training Course Online with Certification

SKU: 8401
14 Lesson
|
40 Hours
5 (1 reviews)
Looking for the best Python training in 2026? Our industry-focused Python course is designed for beginners and professionals who want to build real-world programming skills and earn a globally recognized Python certification. This online Python training program prepares you for Certified Entry-Level Python Programmer (PCEP) and Certified Associate in Python Programming (PCAP) certifications while helping you become proficient in automation, data science, web development, and AI applications. After completing this certification program, you will be job-ready.

Python Training Overview

Python is a high-level, interpreted programming language that is used in software development, automation, data analysis, web development, and AI/ML applications.

igmGuru's Python training program is designed to take you step by step from fundamentals to advanced concepts in a clear, practical, and hands-on way. Our training program covers important topics such as data structures, file handling, OOP, automation, analytics, APIs, and web development.

Our trainers will also guide you in preparing for the PCAP (Certified Associate in Python Programming) and PCEP (Certified Entry-Level Python Programmer) certifications, helping you understand the exam structure, key concepts, and practice questions to confidently clear the certification exams. By the end of the course, you will gain the confidence to build real applications, automate repetitive tasks, analyze data effectively, and develop industry-ready skills that help you grow and advance your career in today’s competitive tech landscape.

Why Learn Python in 2026?

Learning Python in 2026 can significantly boost your tech career because of its strong presence in AI, Data Science, Automation, and Cloud Computing.

  • Most in-demand programming language worldwide
  • Widely used in AI, Machine Learning, and Data Science
  • Beginner-friendly with powerful capabilities
  • Huge job opportunities in India and the US

What Will You Be Able to Do After This Python Training?

  • Build automation scripts
  • Create web applications
  • Analyze business data
  • Build machine learning models
  • Deploy backend services

Who Can Enroll in this Python Course?

This course starts from the fundamentals and is suitable for:

  • Beginners with no coding experience
  • Students from Computer Science and IT backgrounds
  • Fresh graduates
  • Career switchers
  • AI enthusiasts

Prerequisites

There are no mandatory prerequisites. Anyone interested in programming can join. However, the following will be helpful:

  • Basic computer skills
  • Familiarity with internet usage
  • Basic logical thinking ability
  • Interest in problem-solving

Average Salary of a Python Developer

Experience LevelIndiaUS
Entry Level₹3 - ₹5 LPA$70K - $90K
Mid Level₹8 - ₹15 LPA$90K - $120K
Senior Level₹20 - ₹35 LPA$120K - $150K

Why Choose This Python Online Training?

  • Live projects
  • Certification guidance
  • Mock interview preparation
  • Resume building support
  • 100% Placement assistance

Why Choose igmGuru?

  • Trusted global IT training provider
  • Industry-aligned updated curriculum
  • 30+ experienced trainers
  • Multiple training modes
  • Lifetime access to recorded videos
  • Trained 20K+ professionals and graduates
  • Hands-on experience with real-world projects
  • Strong focus on practical, job-ready skills

Complete Python Course Curriculum

1. Programming Foundations

Introduction to Programming

  • What is a Programming Language?
  • Types of Programming Languages
  • Translators

i) Compiler

ii) Interpreter

  • What is a Scripting Language?
  • Programming vs Scripting Languages
  • Programming Paradigms

i) Procedural Programming

ii) Object-Oriented Programming

  • Software Development Architectures

2. Python Fundamentals (Core Python - Beginner Level)

Introduction to Python

  • What is Python?
  • Why Python?
  • History of Python
  • Features of Python

i) Dynamic

ii) Interpreted

iii) Object-Oriented

iv) Extensible

v) Embeddable

vi) Large Standard Library

vii) Free & Open Source

  • Limitations of Python
  • Python Software Foundation (PSF)
  • Python Implementations (CPython, Jython, PyPy, IronPython)
  • Python Versions
  • Python in Real-Time Industry
  • Python 2.x vs 3.x
  • Python 3.7 vs 3.8

Python Installation & Setup

  • Python Installation (Windows, Linux, macOS)
  • Setting PATH
  • Online Python IDE
  • Popular IDEs

i) PyCharm

ii) VS Code

iii) Jupyter Notebook

iv) Spyder

v) Atom

  • Python Distributions (Anaconda)

Python Basics

  • Python Syntax
  • Structure of Python Program
  • First Python Program
  • Comments
  • Python File Extensions
  • Interactive Mode
  • Script Mode
  • Running Python Without IDE
  • Running Python Using IDE

Language Fundamentals

  • Keywords
  • Identifiers
  • Literals & Constants
  • Data Types
  • Python vs Java
  • Byte Code
  • Python Interpreter Internals
  • Python Debugger

Variables & Data Types

  • Variables
  • Local & Global Variables
  • global Keyword
  • Data Conversion Functions
  • bytes and bytearray
  • String Formatting
  • Math, Random, Secrets Modules

Operators

  • Arithmetic Operators
  • Comparison Operators
  • Assignment Operators
  • Logical Operators
  • Bitwise Operators
  • Shift Operators
  • Membership Operators
  • Identity Operators
  • Ternary Operator
  • Operator Precedence
  • is vs ==

Input & Output

  • print()
  • input()
  • Command-line Arguments

3. Control Flow & Decision Making

  • Conditional Statements

i) if

ii) if-else

iii) if-elif-else

iv) Nested if

  • Loops

i) for

ii) while

iii) Nested loops

  • Loop Control

i) break

ii) continue

iii) pass

iv) return

  • Case Studies

4. Data Structures (Collections Framework)

Strings

  • String Basics
  • Indexing & Slicing
  • String Methods
  • String Formatting
  • String Immutability
  • Case Studies

Lists

  • List Creation
  • List Comprehension
  • Indexing & Slicing
  • List Methods
  • Nested Lists
  • Shallow Copy vs Deep Copy
  • zip() & unzip()
  • Arrays in Python

Tuples

  • Tuple Creation
  • Tuple Methods
  • Tuple Immutability
  • List vs Tuple

Sets

  • Set Creation
  • Set Operations
  • Frozen Set
  • Set vs List
  • Set Methods

Dictionaries

  • Dictionary Creation
  • Hashing Concept
  • Dictionary Methods
  • Updating & Deleting
  • Sorting Dictionary
  • Dictionary Comprehension
  • Dict vs List vs Set

5. Functions & Functional Programming

  • What is a Function?
  • Types of Functions
  • Recursion
  • Default Arguments
  • Keyword Arguments
  • Variable Length Arguments
  • Lambda Functions
  • map()
  • filter()
  • reduce()
  • Nested Functions
  • Closures
  • Decorators
  • Generators
  • Iterators
  • Monkey Patching

6. Modules & Packages

  • What is a Module?
  • Built-in Modules
  • User-defined Modules
  • Importing Modules
  • Module Aliasing
  • Built-in Module Attributes
  • Packages
  • Creating Packages
  • PIP

i) Installing Packages

ii) Uninstalling Packages

iii) Virtual Environments

iv) requirements.txt

7. Object-Oriented Programming (OOP)

  • OOP vs Procedural
  • OOP Principles

i) Encapsulation

ii) Abstraction

iii) Polymorphism

iv) Inheritance

  • Classes & Objects
  • Instance & Class Variables
  • Instance, Class & Static Methods
  • Constructor
  • self & cls
  • Access Modifiers
  • Property Decorator
  • Method Overloading
  • Method Overriding
  • Operator Overloading
  • Composition & Aggregation
  • Types of Inheritance
  • MRO
  • super()
  • Duck Typing
  • Abstract Base Classes
  • Inner Classes

8. Exception Handling

  • What is Exception?
  • Syntax Errors vs Runtime Errors
  • try-except
  • Multiple except blocks
  • finally
  • raise
  • Custom Exceptions
  • Logging Exceptions

9. Regular Expressions

  • re Module
  • match(), search(), findall()
  • split(), sub(), compile()
  • Character Classes
  • Email Extraction
  • URL Extraction
  • Password Validation
  • Data Extraction Case Studies

10. File Handling & Data Serialization

  • File Modes
  • Reading & Writing Files
  • CSV Module
  • JSON Parsing
  • XML Parsing
  • Pickle Module
  • Logging Module

11. Date & OS Modules

  • datetime Module
  • timedelta
  • Calendar Module
  • OS Module
  • File System Operations
  • Executing System Commands

12. Multithreading & Multiprocessing

  • Threading Module
  • Creating Threads
  • Thread Lifecycle
  • Synchronization
  • Lock Mechanism
  • Multiprocessing Module
  • GIL

13. Garbage Collection

  • gc Module
  • Reference Counting
  • Manual Garbage Collection
  • Threshold Function

14. Database Programming (PDBC)

  • DBMS Basics
  • MySQL with Python
  • MySQL Connector
  • Oracle with cx_Oracle
  • Cursor Methods
  • Transactions
  • Static vs Dynamic Queries

15. Network Programming

  • Socket Programming
  • Client-Server Architecture
  • socket Module
  • Simple Client-Server Project

16. GUI Programming

  • Tkinter
  • Widgets
  • Layout Managers
  • Event Handling
  • Turtle Module

17. Data Science & Analytics

NumPy

  • Arrays
  • Indexing
  • Broadcasting
  • Mathematical Functions
  • Linear Algebra

Pandas

  • Series
  • DataFrame
  • GroupBy
  • Merge
  • Missing Data
  • Time Series

Matplotlib

  • Line Plot
  • Bar Plot
  • Histogram
  • Scatter Plot

Introduction to:

  • Data Science
  • Machine Learning
  • Types of Machine Learning

18. Web Development with Django

  • What is Framework?
  • MVC vs MVT
  • Django Architecture
  • Basic Project Setup

19. Advanced & Modern Python

  • Virtual Environments
  • Packaging Python Projects
  • Type Hinting (PEP 484)
  • f-strings
  • Async Programming (async/await)
  • asyncio
  • REST APIs with FastAPI (Intro)
  • Unit Testing (unittest, pytest)
  • Code Quality (PEP8, flake8)
  • Git with Python Projects
  • Deployment Basics

Other Courses Related To Python You May Learn

Data Science CourseMachine Learning CoursePower BI CourseSQL Course

Key Features

Python Training Modules

1. Introduction to Python: Installation and Working with Python, Python Variables, Basic Operators, Python Blocks and Indentation, Type Casting
2. Python Keywords and Identifiers: Python Keywords, Identifiers, Comments and Multiline Comments, Indentation, Operators: Arithmetic, Relational, Logical, Assignment, Membership and Identity
3. Variables and Scope: Variables, Expressions and Conditions, Global and Local Variables, Variable Scope, Packing and Unpacking Arguments, Byte Objects vs Strings
1. Numeric Types: int, float, complex and Boolean
2. Non-Numeric Types: Strings, Lists, Tuples, Dictionaries and Sets
1. if, else, elif
2. Nested if
3. Loops (for, while)
4. break, continue, pass
5. range() function
6. if-else with loops
7. Nested loops
8. Pattern programs
9. Membership operators in loops
10. Elegant iteration techniques
11. Generator basics
1. Function Call
2. Return Statement
3. Arguments: Required, Default, Positional and Variable Length
4. *args and **kwargs
5. pass statement
6. Lambda Functions
7. Recursive Functions
8. Scope and Lifetime of Variables
9. Help function
10. map(), filter(), reduce()
11. Organizing code using functions
1. Creating modules
2. Importing modules
3. External packages
4. Understanding Packages
5. Random module
6. Working with datetime utilities
1. datetime module
2. now(), today()
3. ISO Weekday
4. Timestamp
5. Time Delta and UTC
6. strftime()
7. strptime()
8. Calendar module
9. Month Calendar
10. 12-Month Calendar
11. Locale-based date formatting
1. Lists: Creation, Append, Insert, Remove, Extend, Delete, Reverse, Sorting, Indexing and Slicing, Split string to list, Looping, List Comprehension, Nested Comprehension and Multiple references.
2. Tuples: Creation, Accessing Elements, Tuple Methods (count, index), Membership, Built-in functions (len) and Tuple immutability.
3. Dictionaries: Creation, Accessing Values, get(), copy(), fromkeys(), items(), keys(), values(), Updating and Removing, Looping, Dictionary Comprehension, DefaultDict, OrderedDict and pop(), popitem(), update()
4. Sets: Creation, Add, Remove, Set Operations and Frozen Sets.
5. Strings: String Creation, String Methods, String Formatting, String Slicing and Immutability
1. Built-in Exceptions
2. try, except, finally
3. Catching Specific Exceptions
4. Raising Exceptions
5. Closing Files safely
1. File Modes
2. Reading and Writing Files
3. Rename and Delete Files
4. Directory Management
5. Listing Files and Directories
6. Creating and Changing Directories
1. Database Connection
2. Creating Tables
3. Searching Tables
4. Reading & Storing Config Data
5. Programming with Database Connections
1. Sending Emails using SMTP
2. Email with Attachments
3. Secure Login
4. Automating Email Reports
1. Reading Excel Files
2. Writing Excel Files
3. Working with Sheets
4. Adjusting Rows and Columns
5. Workbook Manipulation
6. Formatting Excel Data
7. Arithmetic Operations in Excel
1. Check Directory Exists
2. Split Path and Extension
3. Get User Profile
4. Desktop/Documents Path
5. File System Operations
6. File and Folder Metadata
1. Pandas: DataFrames, Statistics and Data Manipulation
2. Seaborn: Introduction, Visualizing Quantitative Variables and Visualizing Categorical Variables
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Python Programming Course Fees

Online Class Room Program

US $ 599.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 10 Apr 2026
  • Weekday Batch 13 Apr 2026
  • Weekend Batch 11 Apr 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Python Certification

After completing the Python training, you will receive a recognized certificate to validate your skills.

The official certification exam names are PCAP- Certified Associate in Python Programming (exam code PCAP-31-03) and PCEP (Certified Entry-Level Python Programmer), issued by the Python Institute.

Exam Cost

The PCAP exam costs $295 (approximately ₹24,600), and for PCEP, it is $59 (approximately ₹5,340)

With optional bundles that include a retake or a practice test. Local taxes may apply and affect the final price.

PCEP vs PCAP Certification - Which Should You Choose?

Feature PCEP (Certified Entry-Level Python Programmer) PCAP (Certified Associate in Python Programming)
Certification Level Entry-Level Associate-Level
Ideal For Absolute beginners starting Python Learners with basic Python knowledge
Difficulty Level Easy Moderate
Focus Area Python fundamentals and basic syntax Advanced concepts including OOP, modules, and packages.
Topics Covered Data types, control flow, functions, basic operations OOP, exceptions, modules, packages, advanced data handling
Recommended Experience No prior experience required 6-12 months of Python practice
Exam Code PCEP-30-02 PCAP-31-03
Exam Duration 45 minutes 65 minutes (+10 minutes NDA/tutorial)
Number of Questions 30 40
Passing Score 70% 70%
Certification Provider Python Institute Python Institute
Career Impact Helps start a programming career Strengthens resume for developer roles
Best Choice If You are new to programming You want professional-level Python validation
Python Certification

Frequently Asked Questions For Python Online Training

There are many career roles, including Python Developer, Data Analyst, and more, which are among the most in-demand skills.

Yes, the training is conducted live, and the recorded lectures/videos will be provided after the training completion.

Learning Python can open doors to high-demand careers in software development, data science, AI, web development, automation, and more. It’s one of the most versatile and widely used programming languages, making you more competitive and valuable in today’s tech-driven job market.

Top companies that actively hire Python developers include tech giants like Google, Amazon, Microsoft, Facebook, Netflix, IBM, and Dropbox. Python is also widely used in startups, fintech firms, data-driven companies, and AI-focused organizations across various industries.

The duration of this Python course is 40 hours, which covers fundamental to advanced-level concepts

Top organizations that actively hire Python developers include tech giants like Google, Amazon, Microsoft, Facebook, Netflix, IBM, and Dropbox. Python is also widely used in startups, fintech firms, data-driven companies, and AI-focused companies across various industries.

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