Professional Skill Course

Full Stack Python Development Course in Nagpur

Master Python, Django, FastAPI, PostgreSQL, React, and Docker — and ship a cloud-deployed full stack app under live mentor guidance in Nagpur.

10 weeks (80 hours of instruction)

Offline Nagpur · Online · Hybrid

Course Completion Certificate — Skilleze Technologies

1-on-1 Mentorship Included

Key Facts SummaryExtractable Entity Specifications

Institute EntitySkilleze Technologies

Location & CampusNagpur, Maharashtra (Ramdaspeth / Central Nagpur)

Training & Delivery ModeOffline — Flat no. 8A, 2nd Floor, Kanchana Kiran Apartment, Ramdaspeth, Nagpur - 440010 · Online live (Zoom) · Hybrid

Program Duration10 weeks (80 hours of instruction)

Credential AwardedCourse Completion Certificate — Skilleze Technologies

Quick Answer

The Full Stack Python Development course in Nagpur covers Python OOP, Django REST Framework, FastAPI, PostgreSQL, Celery, a React frontend, Docker, and cloud deployment. It is designed for engineering students, MCA graduates, and working professionals who want to build scalable web platforms on the Python ecosystem and land backend or full stack developer roles.

Course Specifications at a Glance

Full Stack Python Development course specifications
Duration	10 weeks (80 hours of instruction)
Weekly Hours	8–10 hours (weekday or weekend batch)
Mode	Offline — Flat no. 8A, 2nd Floor, Kanchana Kiran Apartment, Ramdaspeth, Nagpur - 440010 · Online live (Zoom) · Hybrid
Batch Timings	Weekday Morning: Mon–Fri 10:00 AM – 12:00 PM Weekday Evening: Mon–Fri 6:30 PM – 8:30 PM Weekend Batch: Sat–Sun 9:00 AM – 1:00 PM
Prerequisites	Familiarity with any programming language. Python beginners are welcome — Week 1 covers the language from scratch.
Certificate	Course Completion Certificate — Skilleze Technologies
Fees	Fees on enquiry — speak to an advisor

Who Is This Course For?

Students

B.E. / B.Tech Computer Science, IT, Electronics, or related branches
MCA, M.Sc. Computer Science, or B.Sc. IT students
Data-inclined students who want to combine web dev with Python analytics skills
Final-year students preparing a portfolio before campus placements
Students from RTMNU, VNIT, YCCE, RCOEM, GHRCE, or other Nagpur colleges

Working Professionals

Junior Python developers wanting to move from scripts to full stack web apps
Data analysts or data scientists who want to deploy their models as web APIs
PHP or Java web developers switching to the Python ecosystem
Working professionals who need weekend or evening batches
Non-IT professionals from engineering or science backgrounds transitioning to tech

Week-by-Week Syllabus — Full Stack Python Development

7 modules · 10 weeks (80 hours of instruction)

Module 1Python Foundations & Object-Oriented Programming

Weeks 1–2

Python data types, control flow, comprehensions, and generators
Functions: first-class functions, decorators, closures, *args/**kwargs
Object-oriented Python: classes, inheritance, dunder methods, MRO
File I/O, context managers, exception handling patterns
Modules, packages, and virtual environments with venv
Git workflow: branching strategy, pull requests, code review etiquette

Python 3.12VS Codepip / venvGit

Outcome: Write idiomatic, object-oriented Python programs using decorators, generators, and clean package structure ready for a web framework.

Module 2Django Web Framework & ORM

Weeks 3–4

Django project structure: apps, settings, URL routing, views
Models: field types, relationships (ForeignKey, ManyToMany), migrations
Django ORM: QuerySets, filtering, aggregation, select_related, prefetch_related
Django Admin: registering models, list displays, search, and actions
Template engine: template inheritance, context, filters, and tags
Static files, media uploads, and environment-based settings
PostgreSQL connection, indexing basics, and query optimisation

Django 5Django ORMPostgreSQLpgAdmin 4

Outcome: Build a Django application backed by a normalised PostgreSQL schema, with migrations, admin management, and efficient ORM queries.

Module 3Django REST Framework (DRF)

Week 5

Serializers: ModelSerializer, nested serializers, custom validation
APIView, GenericView, and ViewSet class-based views
Router registration for automatic URL generation
Pagination, filtering (django-filter), and search backends
Token authentication, session auth, and JWT with djangorestframework-simplejwt
API versioning strategies and content negotiation
Generating OpenAPI documentation with drf-spectacular

Django REST Framework 3Postmandrf-spectacular (OpenAPI)

Outcome: Design and document a production-ready REST API using DRF with serializers, authentication, filtering, pagination, and OpenAPI docs.

Module 4FastAPI for High-Performance APIs

Week 6

FastAPI project structure: routers, dependencies, lifespan events
Path operations, query params, request bodies with Pydantic v2 models
Dependency injection: shared resources, database sessions, auth guards
SQLAlchemy 2 async ORM with PostgreSQL
Alembic migrations with FastAPI
Background tasks, streaming responses, and file uploads
FastAPI vs Django REST Framework: when to choose which

FastAPIPydantic v2SQLAlchemy 2UvicornAlembic

Outcome: Build a fully async FastAPI service with Pydantic validation, SQLAlchemy ORM, Alembic migrations, and auto-generated interactive API docs.

Module 5Authentication, Celery & Background Tasks

Week 7

JWT authentication: access/refresh token flow, token blacklisting
Permission classes: IsAuthenticated, IsAdminUser, custom permissions
OAuth2 social login overview (Google, GitHub) with django-allauth
Celery architecture: workers, brokers (Redis), beat scheduler
Asynchronous task queues: email sending, PDF generation, data processing
Monitoring Celery tasks with Flower
Environment variable management with django-environ and python-decouple

JWT (simplejwt)Celery 5Redisdjango-environ

Outcome: Add JWT auth, asynchronous Celery task processing, and Redis-backed queues to a Django API — covering the complete production backend architecture.

Module 6React Frontend for Python APIs

Week 8

React functional components and hooks: useState, useEffect, useReducer
TypeScript with React: typing props, state, API responses
Consuming Django/FastAPI endpoints with Axios and interceptors
Server-state management with React Query (TanStack Query)
React Router for SPA navigation and protected routes
Form handling with React Hook Form and Zod schema validation

React 18TypeScriptAxiosReact QueryVite

Outcome: Build a React TypeScript frontend that fetches, mutates, and caches data from your Python REST API with authentication, routing, and form validation.

Module 7Docker, Testing & Cloud Deployment

Weeks 9–10

Docker fundamentals: Dockerfile for Django/FastAPI, multi-stage builds
Docker Compose: orchestrating Django + PostgreSQL + Redis + Celery locally
pytest and pytest-django: unit tests, fixtures, test database isolation
Factory Boy for model factories; coverage.py for coverage reporting
GitHub Actions CI: run tests, lint, build Docker image on every PR
Deploying to Railway or Render: environment variables, health checks, custom domains
Capstone project: live URL, Dockerised repo, GitHub Actions pipeline

DockerDocker ComposepytestRailway / RenderGitHub Actions

Outcome: Containerise a full stack Python application with Docker Compose, write a pytest test suite, and deploy it to a live URL via GitHub Actions CI/CD.

Tools & Technologies You Will Master

Python 3.12

Django 5

Django REST Framework

FastAPI

PostgreSQL

SQLAlchemy

Celery

Redis

React 18

TypeScript

Pydantic v2

Docker

GitHub Actions

pytest

Railway / Render

Alembic

Language Framework Database DevOps AI Platform

Capstone Projects — What You Will Ship

Multi-Tenant SaaS Blog Platform

Project 1

Problem: Build a blogging platform where organisations have separate workspaces, users publish posts with categories and tags, and editors manage drafts — all behind JWT auth.

DjangoDRFPostgreSQLCeleryRedisReactDocker

You ship: A live Railway-deployed SaaS app with multi-tenant isolation, async email via Celery, full CRUD REST API with Swagger docs, and a React admin dashboard.

Real-Time Job Board API

Project 2

Problem: Create a job-listing platform where employers post vacancies and candidates apply — with FastAPI handling search/filter endpoints and Celery sending application notifications.

FastAPISQLAlchemyPostgreSQLCeleryReactGitHub Actions

You ship: A Dockerised FastAPI application deployed on Render with auto-generated OpenAPI docs, async background tasks, and a React frontend — live URL for portfolio.

E-Learning Course Tracker

Project 3

Problem: Build an API where students enrol in courses, complete lessons, and track progress — with an admin dashboard showing completion metrics via Django Admin.

DjangoDRFPostgreSQLReact QueryReactDocker Compose

You ship: A fully functional course-tracker web app with student/instructor roles, lesson progress API, and a React frontend deployed to a public URL with verified GitHub repo.

Career Outcomes — Where This Course Takes You

Target Role Titles

Python Backend Developer

Full Stack Python Developer

Django Developer

FastAPI / API Engineer

Software Engineer (Python)

Junior Software Developer

Skills You Will Reach

Skills matrix for Full Stack Python Development
Skill	Level	Indicator
Python & OOP	Advanced
Django & Django REST Framework	Advanced
FastAPI & Async Python	Proficient
PostgreSQL & ORM Design	Proficient
React Frontend	Proficient
Docker & Containerisation	Proficient
Celery & Async Task Queues	Foundational
CI/CD & Cloud Deploy	Foundational

Sample Interview Questions You Will Be Ready For

“What is the difference between select_related and prefetch_related in Django ORM?”
“How does FastAPI dependency injection work and why is it useful?”
“Explain Celery's architecture: broker, worker, and beat scheduler.”
“How would you handle N+1 query problems in a DRF API?”
“What are Pydantic v2 validators and how do they differ from v1?”

Salary benchmarks: <<PLACEHOLDER: Average salary for Python Backend Developers in Nagpur — source: AmbitionBox / Glassdoor India, verified [month year]>>

Why Skilleze Technologies — Not Just Another Institute

Skilleze Technologies vs generic institutes comparison
What You Get	Skilleze Technologies	Generic Institutes
Mentorship	1-on-1 mentor sessions + PR code reviews	Recorded videos only
Projects	2–3 deployed capstone projects with live URL	Toy exercises or no projects
Syllabus currency	Updated to 2025–26 industry tooling	Often 2–3 years behind market
Batch size	Small cohorts — mentor access is real	Large batches, no individual feedback
Certificate verifiability	Verifiable reference number issued	No verification mechanism
Location	Offline Nagpur + online + hybrid	Online only or fixed city only
Career layer	ATS resume + LinkedIn + mock interviews	Not included

Comparisons are factual statements about our own offering. We do not name or endorse any specific competitor.

Frequently Asked Questions — Full Stack Python Development

Is Python full stack development worth learning in 2026?

Python is the most popular programming language globally and dominates backend API development, data engineering, and AI-adjacent roles. Django and FastAPI power companies ranging from Instagram to fast-growing Indian startups. Learning Python full stack in 2026 gives you a versatile skill set that spans web development, data, and AI — a strong combination for any tech career.

What is the fee for the Full Stack Python course in Nagpur?

Fees are shared during a personal advisor call. We offer EMI options and batch-specific pricing. Contact us on WhatsApp or fill the enquiry form — an advisor will share the complete fee breakdown within one working day along with batch schedules.

Can a non-IT graduate learn Full Stack Python Development?

Yes. The course begins with Python from absolute basics, covering syntax, data types, and functions before introducing web frameworks. Students from B.Sc., B.Com, and non-technical backgrounds have completed this course. The only prerequisite is basic logic and comfort using a computer — no prior programming needed.

What is the difference between Django and FastAPI, and which does this course teach?

Django is a batteries-included framework ideal for complex, admin-heavy applications. FastAPI is async-first and better for high-performance APIs. This course teaches both — Django with DRF in Weeks 3–5, and FastAPI in Week 6 — so you can choose the right tool for each job and answer confidently in interviews.

Is Docker covered in this Python course?

Yes. Week 9 covers Docker fundamentals including Dockerfile writing, multi-stage builds, and Docker Compose orchestration for Django + PostgreSQL + Redis + Celery locally. The final capstone is submitted as a Dockerised application deployed via GitHub Actions — so you graduate with real container experience on your resume.

Does this course cover React or only the Python backend?

Week 8 is dedicated to React 18 with TypeScript — building a frontend that connects to your Django or FastAPI backend. You learn Axios, React Query, React Router, and React Hook Form. The capstone integrates both frontend and backend into a single deployed full stack project.

Is this course available offline in Nagpur?

Yes. Offline classes run at our Ramdaspeth centre in Nagpur (Flat no. 8A, Second Floor, Kanchana Kiran Apartment, behind Raymond Showroom, beside UCN Call Centre, Ramdaspeth, Nagpur, Maharashtra 440010). Online live Zoom sessions and hybrid arrangements are also available. Weekend batches run Saturday and Sunday 9 AM–1 PM for working professionals.

What certificate do I receive after completing this Python course?

You receive a Course Completion Certificate from Skilleze Technologies after finishing all modules and submitting your capstone project. The certificate includes your name, course name, completion date, and a verifiable reference number — suitable for LinkedIn, resume, and portfolio.

Will I get 1-on-1 mentorship in this Python development course?

Yes. Scheduled 1-on-1 mentor sessions are built into the course for code review, architecture discussion, and project feedback. Group doubt sessions happen three times per week. Mentors are working Python engineers with production experience in Django and FastAPI.

How is this course different from a YouTube Python tutorial?

YouTube tutorials give you breadcrumbs — individual concepts without context. This course gives you a structured 10-week path: each week builds on the last, you receive mentor code reviews on your actual code, build 2–3 capstone projects, and graduate with a deployed application on your portfolio — not just watched videos.