How long is the Python Programming course?

80 hours of live instructor-led training (lectures + hands-on lab practice), across weekday-evening or weekend batches.

Do I need prior experience to join?

No prior programming experience required - the course starts from fundamentals.

Is the training online or classroom?

Both. Classroom batches run at our Mumbai campus; the same batch streams live for online students across India. Both get identical lab access.

Are the labs hands-on?

Yes - this is a lab-intensive course practiced on real equipment, with 24/7 remote lab access through Skillopia, our own lab platform, for practice between classes.

What comes after this course?

Python is the base for our DevOps, Data Analysis and AI tracks - most students continue into one of those paths.

Software Development

Python Programming

RST Forum’s Python Programming course in Mumbai is a 80-hour instructor-led program (lectures + hands-on labs) designed to equip you with the knowledge, skills, and expertise required to design, develop, and deploy highly efficient, robust, and scalable applications across various domains. Taught live with hands-on lab practice - classroom batches run in Mumbai with the same batch live-online across India.

Duration: 80 hours
Training mode: Classroom & online
Course fees: ₹15,000
Upcoming batch: 26 Oct 2026
Level: Beginner

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Course details verified 14 Oct 2026

Please note that the course fees exclude the certification cost.

Overview

Who should attend

This 80-hour (Lectures + hands-on Lab) Python Development training is designed to equip you with the knowledge, skills, and expertise required to design, develop, and deploy highly efficient, robust, and scalable applications across various domains. The training encompasses a wide range of crucial topics from basic to advanced programming concepts and methodologies. Candidates will also delve into real-world project development scenarios which include web application development using frameworks like Flask, automation scripts, and more, to solidify their understanding and gain practical exposure. Additionally, the course will cover database integration using MongoDB and SQLite, providing a solid foundation in back-end development. Candidates will also become proficient in employing various libraries and modules essential for enhancing the functionality and efficiency of applications. They will grasp the principles of Object-Oriented Programming (OOP), error handling, and debugging, essential for building robust applications. This is a lab-intensive, project-based course and objectives are accomplished through hands-on learning.

Roles this leads to

Typical India salary

Python Developer₹4–9 LPA
Automation Engineer₹4–10 LPA
QA / SDET (Python)₹5–11 LPA
Junior Backend Developer₹4–8 LPA

Outcomes

Skills you'll gain

Fundamentals
Python Modules
Object Oriented Programming
Advanced Topics
Input/Output
Libraries

Objectives

What you'll be able to do

The course objectives, as the vendor's own blueprint states them.

Write clean Python from day one: syntax, data types, control flow and functions.
Structure real programs with modules, packages and virtual environments.
Apply object-oriented programming: classes, inheritance and magic methods.
Handle files, exceptions and input/output robustly.
Use the standard library and key third-party packages (requests, pandas basics).
Automate everyday tasks: file wrangling, web scraping and API calls.
Build small end-to-end projects for your portfolio.
Continue confidently into RST's Data Analysis, DevOps and AI Engineering tracks.

Included

What you get

Curriculum based on course outlines defined by industry best practices.
This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises.
Facility of Lab on cloud available.
Courseware includes reference material to maximize learning.
Assignments and tests to ensure concept absorption.
Repeating of lectures allowed (On approval basis)
Candidates can attend lectures online.

Credential

Certification details

You leave with an RST Forum certificate of completion and, more importantly, a working portfolio: scripts, automations and projects built during the labs.

Python is the gateway skill at RST Forum - this course is the base for our DevOps, Data Analysis and AI tracks.

After the course

Placements & outcomes

Placement assistance is included: CV preparation, interview drills with real scenario questions, and referrals through our alumni network of 1 million+ engineers trained since 1997.

Learning path

Where this course takes you

This course is one stage of the Artificial Intelligence path - 10–14 months end to end, beginner → expert. Here is what comes before it, and what comes after.

Python ProgrammingYou are hereAutomation Engineer · 2–3 months
Data Structures & Algorithms (with System Design)Software Engineer · 2–3 months
Artificial Intelligence (ML, DL, RAG, Agentic) EngineeringAI Engineer · 4–6 months
DevOps (with AIOps & MLOps)MLOps Engineer · 3–4 months

Next up: Data Structures & Algorithms (with System Design) - Model code is still code. The engineers who pass AI interviews are the ones who can reason about it.

See the full Artificial Intelligence path Also opens the DevOps path Also opens the Data Analysis path Also opens the Full Stack Development path

6 modules

Full syllabus

Every module below is taught live and practiced hands-on - nothing here is a slide-only topic.

Fundamentals

Introduction
Programming Languages
Python History
Programming Paradigms
Numbers in Python
Math Operators
Comments
Variables
Variable Assignments
Naming Restrictions
Naming Conventions
Data Types
Dynamic Typing
None
Declaring Strings
String Escape Sequences
String Concatenation
String Interpolation
Formatting Strings
String Indexes
Converting Data Types
String Methods
Writing a simple program
Getting User Input
Conditional Statements
If, elif, else Statements
Truthy and Falsy Values
Comparison Operators
Logical Operators
is vs ==
Nested Conditionals
Rock, Paper, Scissor Game
For Loops
For Loops with Ranges
Range Function
FizzBuzz
While Loops
Controlled Exit (Break)
Lists
List Length
Accessing Values
Checking Values
Iterating Over Lists
List Methods
append
extend
insert
clear
pop
remove
index
count
reverse
sort
join
Slicing
Using Slicing
Swapping Values
List Comprehension
List Comprehension vs Loops
List Comprehension With Conditional Logic
Nested Lists
Accessing Nested Lists
Nested List Comprehension
List Limitations
Dictionaries
Using the dict() Function
Accessing individual Values
Dictionary Iteration
Using in with Dictionaries
clear and copy
fromkeys
get
pop
popitem
update
Dictionary Comprehension
Conditionals with Dictionary Comprehensions
Tuple
Tuple Use Cases
Creating and Accessing Tuples
Looping over Tuples
Tuple Methods
Sets
Creating and Accessing Sets
Set Methods
Set Math
Set Comprehension
Functions
What are Functions
Why use Functions
DRY
Function Structure
Returning Values From Functions
Example Functions
Parameters
Naming Parameters
Parameters vs Arguments
Common Mistakes while Returning
Default Parameters
What can Default Parameters be?
Keyword Arguments
Diffences from Default Params
Scope
Global
NonLocal
Documenting Functions
*Args
**Kwargs
Parameter Ordering
Dictionary Unpacking
Argument Unpacking
Lambdas
Map
Filter
Combining Map and Filter
all
any
sorted
min, max
reversed
len
abs
sum
round
zip
SyntaxError
NameError
TypeError
IndexError
ValueError
KeyError
AttributeError
ZeroDivisionError
Other Errors
Handling Errors
try except
else finally

Python Modules

Build-In Module Index
Alias a Module Name
Importing Parts of a Module
Different Ways to Import
Custom Modules
External Modules
The __name__ Variable

Object Oriented Programming

Object Oriented Programming
Object Oriented Design
What is OOP?
Why use OOP?
Comparison with FP
OOP Example
Encapsulation and Abstraction
Creating Classes
Class Instantiation
Self
Attribute Naming
Instance Attributes
Instance Methods
Class Attributes
Class Methods
String Representation of an Object
Inheritance
Using Inheritance
Properties
Super
Multiple Inheritance
Polymorphism

Advanced Topics

Iterators
Iterators vs Interables
Generators
Generator Functions
Generator Expressions
Generators vs List Comprehensions
Space Complexity
Higher Order Functions
Nested Functions
Decorators
The Decorator Syntax
Dealing with Function Signatures
Standard Decorator Pattern
Function Metadata Inaccessibility
Preserving Function Metadata

Input/Output

Reading Files
Cursor Movement
Closing a File
Using with Statements
Writing Files
File Modes
Reading CSV Files
Writing CSV Files
Pickling

Libraries

JSON Pickling
Selenium and Web Automation
Paramiko and Server Automation
NCClient, TelnetLib and Networking Automation
Beautiful Soup
Requests
Flask
MongoDB
Sqlite
PyAutoGUI
PynPut
TkInter

Reserve your seat

Watch a real class. Meet your instructor. Then decide.

Hold a place on the next batch and sit in on the opening session. See the teaching, the racks and the labs exactly as students do, then enrol if it's right for you.

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1 million+

engineers trained

1997

training since

24/7

Skillopia lab access

Keep exploring

View the full Software Development track

Fee

₹15,000

Reserve a seat

Who should attend

Skills you'll gain

What you'll be able to do

What you get

Certification details

Placements & outcomes

Where this course takes you

Full syllabus

Fundamentals

Python Modules

Object Oriented Programming

Advanced Topics

Input/Output

Libraries

Hands-on labs

Hands-on labs

Exploring Python Basics

String Manipulation

Control Flow and Building a Rock, Paper, Scissors Game

List Operations

Dictionary Management

Tuple and Set Operations

Defining and Calling Functions

Exploring Scope and Nested Functions

Working with *Args and Kwargs

Error Handling

Exploring Built-in Modules and Creating Custom Modules

Class Creation and Object Instantiation

Inheritance and Polymorphism

Working with Iterators and Generators

Decorators and Higher Order Functions

File Reading and Writing

Web Development with Flask

Database Interaction with SQLite and MongoDB

Upcoming start dates

Course Fees

Frequently asked questions

Watch a real class. Meet your instructor. Then decide.

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