Your Learning Path

6-Month Roadmap to Become a Python Full Stack Developer

From web basics to a deployed full stack application — one clear milestone every month.

Month 1

Frontend Development

Web fundamentals, HTML5, CSS3, Bootstrap 5 and JavaScript.

Month 2

Core Python & MySQL

Python programming, OOP, file handling and MySQL with SQL.

Month 3

Django Framework

Templates, models & ORM, forms, authentication and app development.

Month 4

Flask Framework

Jinja templates, forms, database integration, authentication and Flask REST APIs.

Month 5

APIs & Integration

Django REST Framework, frontend integration and React fundamentals.

Month 6

Deployment & Major Project

Deployment, testing, one major industrial project and placement preparation.

Technologies You Will Learn

HTML5

CSS3

Bootstrap

JavaScript

React

Python

Django

Flask

MySQL

Git

GitHub

Curriculum

Python Full Stack Curriculum

30 Chapters

332+ Topics

Live Projects

6 Months

Download Syllabus

Web Development Fundamentals

8 Topics Month 1

Introduction to web development

Frontend vs backend

Client-server architecture

Static vs dynamic websites

HTTP and HTTPS

Request-response lifecycle

VS Code and browser developer tools

Git and GitHub fundamentals

HTML5

11 Topics Month 1

HTML document structure

Elements, tags and attributes

Headings, paragraphs and text formatting

Links, images and lists

Tables

Forms and input types

Radio buttons, checkboxes and dropdowns

Semantic HTML

Audio, video and iframes

Form validation and accessibility

SEO-friendly HTML structure

CSS3

12 Topics Month 1

CSS syntax and selectors

Colors, backgrounds and typography

Box model

Margin, padding and borders

Display and positioning

Flexbox

CSS Grid

Pseudo-classes and pseudo-elements

Transitions and animations

Media queries

Responsive and mobile-first design

CSS variables and debugging

Bootstrap 5

10 Topics Month 1

Bootstrap installation and CDN

Containers, rows and columns

Grid system and breakpoints

Typography and utility classes

Buttons, forms and tables

Cards and badges

Navbar and dropdowns

Modals and accordions

Carousel

Responsive layouts

JavaScript

16 Topics Month 1

Variables and data types

Operators and type conversion

Conditional statements and loops

Functions and arrow functions

Arrays and objects

Strings and array methods

Scope and closures — introduction

Destructuring and spread syntax

DOM manipulation

Event handling

Form validation

JSON

Promises and async/await

Fetch API

API integration and error handling

Local storage and session storage

Python Fundamentals

8 Topics Month 2

Python installation and environment setup

Syntax, indentation and comments

Variables and data types

Type conversion

Operators

Conditional statements

Loops and nested loops

Pattern and number programs

Python Data Structures

8 Topics Month 2

Strings and string methods

Lists and list comprehensions

Tuples

Sets

Dictionaries

Nested collections

Mutable vs immutable objects

Collection iteration and sorting

Functions and Modules

9 Topics Month 2

Functions and return values

Parameters and arguments

Default and keyword arguments

*args and **kwargs

Lambda functions

Scope

Recursion fundamentals

Modules and packages

Virtual environments and pip

Object-Oriented Python

11 Topics Month 2

Classes and objects

Constructors and self

Instance and class variables

Instance, class and static methods

Encapsulation

Inheritance

Polymorphism

Method overriding

Abstraction

Special methods

Composition

Exception and File Handling

8 Topics Month 2

Syntax errors and exceptions

try, except, else and finally

Raising and creating exceptions

Text file handling

CSV and JSON files

Directory and path handling

Context managers

Logging and debugging

MySQL and SQL

14 Topics Month 2

Relational database fundamentals

Tables, rows and columns

Primary and foreign keys

DDL, DML and SELECT queries

WHERE, ORDER BY and DISTINCT

Aggregate functions

GROUP BY and HAVING

INNER, LEFT and RIGHT JOIN

Subqueries

Constraints and indexes

Database normalization

Transactions — fundamentals

Connecting Python to MySQL

CRUD operations using Python

Django Introduction

10 Topics Month 3

What is Django?

Django architecture and MVT pattern

Django installation

Virtual environments

Creating projects and applications

Project structure

settings.py, urls.py, views.py and manage.py

URL routing

Function-based views

Development server

Django Templates

9 Topics Month 3

Django Template Language

Variables, tags and filters

Conditions and loops

Template inheritance

Base templates

Static files

Passing data from views

Integrating Bootstrap

Reusable components

Django Models and ORM

12 Topics Month 3

Creating models

Model fields and field options

Migrations

CRUD operations

Filtering and ordering

ForeignKey relationships

One-to-one relationships

Many-to-many relationships

Aggregation and annotation

QuerySet optimization

Django admin panel

Connecting Django with MySQL

Forms and Authentication

12 Topics Month 3

HTML forms in Django

Django Forms and ModelForms

Validation and custom validators

CSRF protection

File upload handling

User registration

Password reset workflow

Sessions and cookies

Groups and permissions

Role-based access

Authentication decorators

Django Application Development

10 Topics Month 3

CRUD application architecture

Search and filtering

Pagination

User-specific data

Error handling

Reusable views

Class-based views — introduction

Custom error pages

Testing models, views and forms

Application logging

Flask Fundamentals

14 Topics Month 4

Introduction to Flask

Django vs Flask

Flask installation and virtual environments

Creating a Flask application

Understanding the application structure

Flask development server

Routing using @app.route()

Dynamic URL parameters

HTTP methods

Request and response objects

Returning HTML, text and JSON

URL generation using url_for()

Application configuration

Debugging Flask applications

Jinja Templates and Static Files

10 Topics Month 4

Introduction to Jinja templating

Template variables

Conditions and loops

Template filters

Template inheritance

Reusable template blocks

Static CSS, JavaScript and images

Integrating Bootstrap

Rendering dynamic data

Flash messages

Flask Forms and Validation

10 Topics Month 4

HTML form handling

GET and POST requests

Reading submitted form data

Server-side validation

Flask-WTF — introduction

WTForms fields and validators

CSRF protection

Displaying validation errors

File uploads

Secure form processing

Database Integration with Flask

12 Topics Month 4

Connecting Flask to MySQL

Database configuration

Introduction to SQLAlchemy

Creating database models

Defining columns and relationships

CRUD operations

Querying and filtering data

Updating and deleting records

Database migrations with Flask-Migrate

Handling database errors

Transactions — fundamentals

Separating database logic from route handlers

Flask Authentication and Application Structure

13 Topics Month 4

User registration and login

Password hashing

Flask sessions

Flask-Login fundamentals

Logout functionality

Role-based access — basics

Blueprints

Application factory pattern

Configuration management

Environment variables

Error handlers

Logging and debugging

Flask REST APIs

13 Topics Month 4

Introduction to REST APIs

Creating API routes

GET and POST endpoints

PUT, PATCH and DELETE endpoints

JSON request handling

JSON responses

HTTP status codes

Input validation

Error response structure

Connecting Flask APIs to MySQL

Testing endpoints with Postman

API authentication — introduction

API documentation — fundamentals

Django REST Framework

15 Topics Month 5

REST architecture and API design

Installing Django REST Framework

Serializers and ModelSerializers

API views

Generic views and mixins

ViewSets and routers

CRUD endpoints

Request validation

Filtering and search

Pagination

API permissions

Token and JWT authentication — fundamentals

API throttling

API documentation

Testing endpoints with Postman

Frontend Integration

12 Topics Month 5

Connecting JavaScript to backend APIs

Fetch API

Sending JSON data

Handling API responses

Displaying dynamic records

Form submissions

Handling loading and error states

Search and pagination

Authentication-aware interfaces

CORS fundamentals

Debugging frontend-backend communication

Advanced Full Stack Development

15 Topics Month 5

Django vs Flask application architecture

Django middleware — fundamentals

Flask Blueprints and application factories

Database query optimization

File and image uploads

Email integration

Logging and error handling

Secure configuration

Input validation and sanitization

SQL injection, XSS and CSRF prevention

Unit testing with pytest

Django and Flask application testing

Git branching and merge conflicts

GitHub pull requests and code review

Team-based development workflow

JavaScript & React Fundamentals

11 Topics Month 5

JavaScript Fundamentals

Components and JSX

Props and state

Event handling

Conditional rendering

Lists and keys

useState and useEffect

Forms

React Router

Calling backend APIs

Connecting React with Django REST Framework or Flask APIs

Deployment

13 Topics Month 6

Development vs production configuration

Environment variables and secrets

Production database configuration

Django static files and collectstatic

Flask production configuration

WSGI servers

Gunicorn fundamentals

Hosting and deployment workflow

Domain and HTTPS configuration

Application logs

Production debugging

Database backup fundamentals

Basic deployment security

Testing and Code Quality

10 Topics Month 6

Unit testing

Integration testing

Testing API endpoints

Testing authentication

Input validation tests

Debugging database issues

Dependency management

Code organization

GitHub documentation

Writing a professional README

Major Industrial Project

4 Topics Month 6

Learning Management System: Courses, student accounts, enrollment, progress and admin dashboard.

Job Portal: Employer accounts, candidate profiles, job listings, applications and search.

E-commerce Application: Products, cart, orders, inventory and payment sandbox integration.

CRM System: Leads, customer records, follow-ups, reports and user roles.

Interview and Placement Preparation

12 Topics Month 6

Python coding questions

OOP and exception handling

Django MVT, ORM and migrations

Flask routing, Blueprints and request handling

SQL queries and joins

REST API concepts

Authentication and web security

HTML, CSS and JavaScript questions

Git and GitHub

Project architecture and database design

Resume and GitHub portfolio

Mock interviews and project viva

Real-World Use

What Can You Build with Python Full Stack?

Django and Flask power websites and APIs of every size. With the full stack, you can build the complete product — screens, server logic and database.

E-Commerce Applications

Job Portals

Learning Management Systems

CRM Systems

Admin Dashboards

REST APIs for Mobile & Web

Example Projects You'll Build

You finish the program with real, working applications — frontend to deployment — that you can show in interviews.

Student Management System

A Django application with registration, login, CRUD operations, search, pagination and an admin area, backed by a database.

Django MySQL Bootstrap

Registration & login
CRUD, search & pagination
Admin management panel

Job Portal

Employer accounts, candidate profiles, job listings, applications and search — with a REST API and a JavaScript frontend.

Django REST React JavaScript

Employer & candidate roles
Job listings & applications
API-driven frontend

E-Commerce Application

Products, cart, orders and inventory with a payment sandbox — the major project taken from frontend all the way to deployment.

Flask / Django MySQL Deployment

Products, cart & orders
Inventory management
Deployed live online

Placement Support

How We Provide Placement Support

Our 6-step process turns your projects into interview confidence for Python full stack developer roles — from resume to company reference.

Students Placed

6 Steps

Placement Process

Book Free Demo Class

Mock Interviews

Repeated technical and HR mock rounds designed around Python Full Stack Developer interview questions.

Technical + HR

Resume Building

A clean, ATS-friendly resume that puts your Python Full Stack Developer skills and projects first.

ATS friendly

Personality Development

Daily spoken English, communication and body-language practice for real interviews.

Free sessions

Profile Building

LinkedIn, GitHub and job-portal profiles set up and optimized by our mentors.

LinkedIn + GitHub

Final Mock Interview

A final evaluation round to confirm you are genuinely ready for real interviews.

Readiness check

Get Company Reference

Company referrals and interview scheduling with our hiring partners.

Hiring partners

Success Stories

Our Students Are Placed & Thriving

Real stories from real learners who transformed their careers.

Suhani Bhavana

Accenture

"I did not have basic programming knowledge initially, but the tasks given by Sir gradually helped build my confidence. The mock interviews were also very helpful. Today, I am working at Accenture."

Harpreet Singh

Wipro

"Core Java basics are very important for any Java-based technology. Sir explained the fundamentals so well that learning Advanced Java became very easy for me. Thank you, sir.."

Rakesh Kumar

Cognizant

"I sincerely thank Deepak Sir and Smart Programming Institute for Core and Advanced Java courses. His clear, practical teaching built my strong foundation, confidence, and helped me get placed in Cognizant. I highly recommend this institute for learning Java."

Davinder Kambhoj

Accenture

"I completed the Java course under Sir’s guidance and learned a great deal. In just six months, he taught us so much that I now feel confident I can easily learn any Java-based technology now."

View All Placed Students

Student Feedback

What Our Students Say

Honest reviews from students of our Python Full Stack training.

"The Python + Data Science training was very helpful. I learned Python, NumPy, Pandas, data visualization, and machine learning with practical examples."

Aman Sharma

"I learned a lot about Python programming, data analysis, and machine learning. Practical assignments helped me understand the concepts better."

Rahul Verma

"The course provided a good introduction to Data Science. I gained practical knowledge of Python libraries and working with datasets."

Harpreet Singh

"A good place to learn Python and Data Science. The practical sessions made it easier to understand how data is processed and analyzed."

Karan Kumar

"The training helped me improve my Python skills and understand the fundamentals of machine learning. The examples were easy to understand."

Rohit Verma

"Python + Data Science course ka content useful hai. Beginners ke liye concepts samajhna easy hota hai, especially practical sessions mein."

Gurpreet Singh

"The trainer explained the topics clearly and encouraged us to practice regularly. Overall, a useful learning experience for beginners."

Pooja Sharma

"I gained a better understanding of data analysis, visualization, and machine learning fundamentals. The sessions were structured and beginner-friendly."

Navjot Kaur

"The training gave me a clear starting point in Data Science. I learned how Python libraries can be used to work with real datasets."

Ishita Verma

"The course was informative and practical. It helped me build confidence in Python programming and understand the Data Science workflow."

Riya Gupta

"Good training experience. Concepts of Python and Data Science were explained in simple language with hands-on practice."

Simran Kaur

"Training ka experience acha raha. Python, Pandas aur machine learning ke concepts practical examples ke sath samjhaye gaye."

Neha Sharma

"The teaching method was easy to follow. I learned data cleaning, visualization, and basic machine learning using Python."

Priya Gupta

"Mujhe Python aur Data Science ki training kaafi useful lagi. Concepts step by step cover kiye aur practice karne ka bhi acha mauka mila."

Manpreet Kaur

"I liked the practical approach to learning. Working with datasets and Python libraries helped me understand Data Science concepts clearly."

Anjali Singh

"The course covered important Python libraries used in Data Science. I also gained experience with data visualization and introductory ML concepts."

Sahil Mehta

"Training mein Python programming se start karke Data Science ke basic concepts tak achi learning hui. Practical work was helpful."

Deepak Kumar

"Good experience learning Python for Data Science. Assignments helped me practice the concepts instead of only learning theory."

Vikas Sharma

"Overall experience acha raha. Python, data handling aur machine learning ke basics ko examples ke sath samajhne mein help mili."

Amritpal Singh

"A useful training program for anyone starting with Python and Data Science. The practical exercises helped reinforce what we learned in class."

Mohit Kumar

Why Choose Us

Full Stack Training That Gets You Job-Ready

Two frameworks, real databases, APIs and deployment — everything companies expect from a Python full stack developer.

Live Industry Projects

Build a portfolio of real projects you can explain confidently in interviews.

Expert Trainers

Learn from mentors with real industry development experience.

ISO Certification

Industry-recognized certificate on successful completion.

100% Placement Assistance

Dedicated placement support until you get hired.

Flexible Batches

Weekday & weekend batches, offline (Mohali) & live online.

Free Spoken English

Daily spoken English & personality development sessions.

Limited Seats

Still Thinking? Talk to Our Career Counsellor

Get a free career counselling call — we'll help you pick the right Python track (Full Stack, Data Analytics or Data Science) based on your background and goals.

100% Placement Assistance till you get hired
Live Projects + Real Industry Experience
Offline (Mohali Campus) & Live Online Classes
Weekday & Weekend Batches Available

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+91 98887 55565

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Become a Job-Ready Python Full Stack Developer in 6 Months

Book Your Free Demo Class

6-Month Roadmap to Become a Python Full Stack Developer

Python Full Stack Curriculum

What Can You Build with Python Full Stack?

Example Projects You'll Build

Student Management System

Job Portal

E-Commerce Application

How We Provide Placement Support

Mock Interviews

Resume Building

Personality Development

Profile Building

Final Mock Interview

Get Company Reference

Companies Our Students Target

Our Students Are Placed & Thriving

What Our Students Say

Full Stack Training That Gets You Job-Ready

Still Thinking? Talk to Our Career Counsellor

Get Free Career Counselling