Classroom in Dharampeth · Live online

Python Full Stack Developer Course in Nagpur with Flask & FastAPI

Learn to build complete web applications in one language: Python on the server with Flask and FastAPI, Oracle SQL for the data, and HTML, CSS and JavaScript in the browser. You finish with a deployed capstone project and a GitHub portfolio.

4–6 months
Starts from zero
Classroom or online
Deployed capstone

Get batch dates & fees Ask on WhatsApp

Taught by Arnab BanerjeeFull stack developer and Python trainer at Unisoft

from flask import Flask, jsonify

app = Flask(__name__)

@app.get("/api/courses/<slug>")
def course(slug):
    return jsonify(name="Python Full Stack",
                   city="Nagpur")

# run: flask --app app run

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Course(BaseModel):
    name: str
    city: str

@app.get("/api/courses/{slug}")
async def course(slug: str) -> Course:
    return Course(name="Python Full Stack",
                  city="Nagpur")

# run: uvicorn main:app --reload

The same endpoint in both frameworks. FastAPI also checks the types and writes the API documentation for you.

Course at a glance

Everything you need to know before you call

One language from the database to the browser, taught step by step in Nagpur or live online.

Duration: 4–6 monthsWeekday, weekend and fast-track batches
Mode: Classroom or live onlineDharampeth, Nagpur · one-on-one on request
Who can join: No coding background neededBSc, BCA, BCom, BE, diploma or any graduate
What you learn: Python · Flask · FastAPI · Oracle SQL · JavaScriptPlus Git, GitHub and deployment
What you build: A deployed full stack appSmall projects in every module, then a capstone
After the course: Unisoft certificate and placement assistanceResume, GitHub review and mock interviews

How it fits together

A full stack, layer by layer

Every web application answers the same request in three places. This course teaches all three, then shows you how to ship them.

1 · browser
The front end

HTML and CSS build the page; JavaScript reacts to the user and calls your API with fetch().

Taught in module 3
2 · server
The API

Flask or FastAPI receives the request, checks who is asking and what they sent, and answers in JSON.

Taught in modules 5, 6 and 7
3 · data
The database

Oracle SQL stores the data. Your Python code reads and writes it, directly or through the SQLAlchemy ORM.

Taught in modules 4 and 5

Underneath everything: Python itself (modules 1 and 2), and Git, GitHub and deployment (module 8), so your code is versioned and live on the internet.

Syllabus

Eight modules, from your first line of Python to a live app

The order matters: the language first, then the browser, then the data, then the frameworks that connect them, ending with a project you deploy.

01Core Python programmingFoundation

Python setup, editors and how the interpreter runs your code
Variables, data types, type casting, operators and expressions
Conditions (if, elif, else), for and while loops, control flow
String handling, formatting and regular expressions
Lists, tuples, sets and dictionaries in depth
Functions, *args and **kwargs, scope and lambda
Error handling with try, except and finally
Reading and writing text and CSV files
Clean code and the PEP 8 style guide

02Advanced Python and OOPDeep dive

Classes, objects, self and constructors
Inheritance, encapsulation and polymorphism
Modules, packages and virtual environments (venv)
JSON, XML and pickle file handling
Iterators, generators (yield) and decorators
Exception hierarchies and custom exceptions
pip, requirements.txt and third-party libraries
Problem solving and logic building with DSA basics
Memory management and garbage collection

03Front end: HTML5, CSS3 and JavaScriptBrowser

Semantic HTML5, accessibility and SEO-friendly structure
Forms, inputs, validation and media
CSS selectors, colour, typography and custom properties
Flexbox, Grid and responsive, mobile-first layouts
CSS animations, transitions and transforms
JavaScript basics: data types, the DOM and events
ES6+: arrow functions, destructuring, template literals, modules
fetch, promises, async/await and JSON
Local and session storage, plus a responsive mini project

04Databases and Oracle SQLData

Relational databases, normalisation (1NF to 3NF), ER diagrams and schema design
Oracle Database architecture, SQL*Plus and SQL Developer
DDL, DML and TCL: CREATE, ALTER, INSERT, UPDATE, DELETE, COMMIT
SELECT, filtering, sorting, aliases and WHERE operators
Character, number, date and conversion functions (TO_CHAR, TO_DATE)
NULL handling (NVL, COALESCE) and group functions (SUM, AVG, COUNT)
Inner, outer, self and cross joins
Single-row, multi-row and correlated subqueries, inline views
WITH clauses (CTEs) and analytic functions (ROW_NUMBER, RANK)
CRUD operations from Python against Oracle Database

05Flask web frameworkServer

Project structure and configuration for Flask apps
Routing, dynamic routes, views and Jinja2 templates
Request handling, query parameters and form data
Models, migrations and the SQLAlchemy ORM
WTForms validation and blueprints for modular apps
Authentication, sessions, cookies and secure user management
Connecting Flask to Oracle SQL
Flask, FastAPI or Django: when to choose which

06REST APIs with FlaskServer

REST principles, HTTP methods, status codes and API design
Building APIs with Flask-RESTful and Flask-Smorest
Schemas, serialisation and JSON responses
Token authentication (JWT) and role-based permissions
API errors, validation and exception handling
Calling your API safely from the front end (CORS)
Testing with Postman, Swagger UI and automated tests
Pagination, filtering, rate limiting and API best practices

07FastAPI and modern APIsServer

FastAPI and asynchronous programming in Python
Type hints, Pydantic models and automatic validation
Path parameters, query parameters and request bodies
FastAPI's dependency injection system
Background tasks and asynchronous database access
Automatic OpenAPI (Swagger) documentation
Security with OAuth2 and JWT
Running FastAPI in production with Uvicorn

08Git, deployment and the capstoneJob-ready

Git and GitHub: branches, commits, merge conflicts, pull requests
WSGI and ASGI, Gunicorn, Uvicorn and Nginx basics
Environment variables, secrets and production settings
Deploying Flask and FastAPI apps to a cloud server
Capstone: a full stack app with an API, Oracle SQL and a JavaScript front end
Code reviews and Agile basics
Your portfolio and GitHub profile, with proper READMEs
Resume preparation, mock interviews and placement assistance

Already comfortable with Python? Tell us when you enquire and we will suggest where to start.

Flask vs FastAPI

Why learn both frameworks?

They solve the same problem in different ways. Knowing both means you can read either codebase on your first day.

Flask compared with FastAPI
	Flask	FastAPI
First released	2010	2018
Runs on	WSGI servers such as Gunicorn	ASGI servers such as Uvicorn
Style	A small core; you add the extensions you need	API-first; your type hints drive the framework
Checking input	Through extensions such as WTForms or Marshmallow	Built in, with Pydantic models
API documentation	Added with extensions such as Flask-Smorest	Generated automatically (Swagger UI and ReDoc)
Async code	Supported in views; synchronous by default	Designed around async from the start
A good fit for	Web apps with server-rendered pages, dashboards, quick prototypes	JSON APIs where speed and clear contracts matter, such as serving ML models

Many teams use both: Flask where pages are rendered on the server, FastAPI where a fast, documented API is the product. You build the same features in each, so the differences make sense instead of being memorised.

Your trainer

Learn from Arnab Banerjee

Arnab Banerjee

Full stack developer and Python trainer, Unisoft Technologies

Arnab teaches the Python Full Stack course at Unisoft. Alongside Python, his teaching covers JavaScript, .NET, PHP, C and C++, Bootstrap and SQL Server, and he also teaches Python for data analytics.

Python
Flask
FastAPI
JavaScript
SQL
.NET
PHP
C / C++

Arnab's full profile LinkedIn

The Python training by Arnab Sir is highly effective — his clear explanations and hands-on approach make it easy to connect theoretical concepts with real-world applications.

★★★★★ Poonam Kamdi · BSc Statistics, Data Analytics course · Google review
I am currently learning Python under Arnab Sir, whose teaching style is clear, practical, and highly supportive for beginners.

★★★★★ Harshada Pimple · Data Analytics course · Google review
Completed web development training at Unisoft Technologies — great experience under faculty Vishal Sir and Arnab Sir.

★★★★★ Rudraksha Dikondwar · Web development training · Google review

These students learned with Arnab in our data analytics and web development courses. Unisoft is rated 4.6 on Google from more than 1,600 reviews; read them on Google.

Projects

What you build

Every module ends with something that runs. The course ends with a capstone you can show an interviewer: a complete web application, kept on GitHub and deployed live.

Design the database in Oracle SQL
Build the API in Flask or FastAPI, with login and validation
Build the front end in HTML, CSS and JavaScript
Version it on GitHub and deploy it, so it has a real address

Code first, every class

You write Python from the first session and practise between classes. Doubts are cleared in class, on your own code.

Reviewed work

Your project code is reviewed, the way a team reviews a pull request, so habits are fixed early.

A portfolio, not just a certificate

You leave with a GitHub profile, proper READMEs and a live project link for your resume.

Careers

Roles this course prepares you for

Python full stack skills are used in product companies, IT services firms and start-ups, for web apps and the APIs behind them.

Python full stack developer
Backend developer (Flask or FastAPI)
Python web developer
API developer
Junior software engineer

Placement assistance covers your resume, a review of your GitHub portfolio, mock interviews and relevant openings when we hear of them. It is help with your job search, not a guarantee of a job; results depend on your effort and the market.

Who it is for

You do not need a computer science degree

Students and fresh graduates

BSc, BCA, BCom, BE or diploma: build real projects before your first interview.

Career switchers

Coming from a non-IT job? The course starts from the first line of code and builds up one layer at a time.

Python learners who want to build

If you know Python for data or scripting, this is how you turn it into web apps and APIs. Why Python is worth learning

Next step

Get the next batch dates and fees

Leave your number and a counsellor will call you back.

The current fee for classroom, live online or one-on-one
Upcoming weekday, weekend and fast-track batches
Where to start, based on what you already know

+91 95030 05060 WhatsApp

Enquire about Python Full Stack

Your name

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City

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We use your details only to contact you about this course. Privacy policy

FAQ

Questions students ask before joining

How long is the Python Full Stack course?

Usually 4 to 6 months, depending on the batch you choose. Weekday, weekend and fast-track batches run at different speeds; ask for the next batch dates when you enquire.

What is the fee for the Python Full Stack course?

The fee depends on whether you study in the classroom, live online or one-on-one. Send an enquiry or call +91 95030 05060 and we will share the current fee with the next batch dates.

I have never written code. Can I join?

Yes. The course starts from the first line of Python. Students join from BSc, BCA, BCom, BE, diploma and non-IT backgrounds. What helps most is regular practice between classes.

Which frameworks are taught: Flask, FastAPI or Django?

Flask and FastAPI are both taught in depth. Flask is used for web apps and REST APIs, and FastAPI for fast, typed APIs with automatic documentation. Django is covered as a comparison, so you know when each one fits.

Is React part of this course?

No. The front end in this course is HTML, CSS and modern JavaScript, which is what you need to call your own Flask and FastAPI back ends. React is taught in the MERN Stack and React JS courses.

Which database do I learn?

Oracle SQL: schema design, joins, subqueries, analytic functions and CRUD from Python. The SQL and design skills carry over to MySQL and PostgreSQL.

Who teaches the course?

Arnab Banerjee, Unisoft's full stack trainer, who also teaches Python for data analytics. His full profile is on the Unisoft website.

Will I build real projects?

Yes. You work on small projects in every module and finish with a capstone: a complete web application with a Flask or FastAPI back end, an Oracle SQL database and a JavaScript front end, kept on GitHub and deployed live.

Are online classes available?

Yes. Live online batches follow the same syllabus as the classroom batches in Dharampeth, and one-on-one training is available on request.

Do I get a certificate and placement help?

You receive a Unisoft course completion certificate. Placement assistance covers your resume, a review of your GitHub portfolio, mock interviews and relevant openings when we hear of them. It is help with your job search, not a job guarantee.

Python Full Stack, MERN or Java Full Stack: which should I choose?

All three lead to developer roles. Python Full Stack suits you if you also want to keep doors open to automation, data and AI, because the same language serves all of them. MERN is JavaScript from end to end, and Java Full Stack suits large enterprise codebases. A counsellor can help you choose from your background.