What does the INFONEXUS Full-Stack Python course cover?

The INFONEXUS Full-Stack Python course covers Python 3.12 fundamentals, OOP, data structures, Django full-stack web development, Django REST Framework (DRF) APIs, FastAPI microservices, React.js frontend, PostgreSQL and MongoDB databases, Redis caching, Celery task queues, Docker and Kubernetes, AWS deployment, machine learning model integration, and system design — across Basic, Advanced, and Professional levels.

Is prior programming experience needed for the INFONEXUS Python course?

No prior programming experience is required. The Basic level starts from Python installation and syntax fundamentals — making it suitable for complete beginners. Working professionals from non-technical backgrounds, students from any discipline, and career switchers all successfully complete the program.

What salary can I expect after the INFONEXUS Full-Stack Python course?

INFONEXUS Full-Stack Python graduates receive packages ranging from ₹5–10 LPA for entry-level Python/Django developer roles to ₹18–40 LPA for senior full-stack and backend engineering positions targeting FastAPI microservices, cloud deployment, and ML integration skills.

Full-Stack Python Course | INFONEXUS IT Institute — Django, FastAPI, React & Cloud

Why Choose INFONEXUS

Build Python Apps That
Scale to Millions.
Get Hired at Top Companies.

INFONEXUS IT Institute delivers the complete Python full-stack ecosystem — from your first script to production-grade Django APIs, FastAPI microservices, React frontends, and cloud-deployed applications.

🐍

Python 3.12 + Modern OOP

Master Python fundamentals, OOP, data structures, algorithms, async programming, type hints, Pydantic models — the foundation that everything else in the Python ecosystem builds on.

🌱

Django 5.0 & DRF APIs

Build full-stack web apps with Django 5.0 — models, views, templates, ORM, authentication. Then build production REST APIs with Django REST Framework, JWT, Swagger documentation, and pagination.

⚡

FastAPI — Modern Async APIs

Learn FastAPI for ultra-high-performance async Python APIs — automatic OpenAPI docs, dependency injection, OAuth2, WebSockets, background tasks, and Pydantic v2 data validation.

⚛️

React.js & Next.js Frontend

Build dynamic frontends with React 18 — hooks, state management (Zustand/Redux), React Query for API integration, and Next.js 14 App Router for full-stack Python + React applications.

🐳

Docker, Kubernetes & AWS

Containerize every Python app with Docker, orchestrate with Kubernetes, deploy to AWS (EC2, ECS, Lambda, RDS), build CI/CD pipelines — production DevOps for Python developers.

🧠

ML Integration & 12 Projects

Integrate machine learning models (scikit-learn, TensorFlow Lite) into Django and FastAPI applications. Build 12 portfolio-ready full-stack projects that impress hiring managers.

Full-Stack Python course training at INFONEXUS IT Institute Indore — Django FastAPI React

5 Mo.full_program

Program Overview

From print("Hello")
to Production
Python Developer

INFONEXUS IT Institute's Python program progresses through three stages — each unlocking new capabilities and adding real deployable projects to your GitHub portfolio for job applications.

Python Core & Django Full-Stack Level 1

FastAPI, React, Databases & Async Level 2

Microservices, Docker, AWS & ML Integration Level 3

Python 3.12Django 5FastAPIReact 18Next.js 14PostgreSQLRedisCeleryDockerAWS

Course Curriculum

18 Modules. 3 Levels.
Pythonically Structured.

Every module is reverse-engineered from real Python and Django job descriptions — covering the exact tools and skills companies test in 2025 technical interviews.

🟢 Basic Level — Python Core, Django Full-Stack & Database Foundations

⏱ 7 Weeks

💻 3 Live Projects

🎓 Zero Experience Required

📜 Foundation Certificate

01

Python 3.12 Fundamentals & Modern Syntax

Python installation, virtual environments (venv, pipenv, uv) — project isolation best practices
Core data types: int, float, str, bool, None — type system, implicit vs explicit conversion
Control flow: if/elif/else, for loops, while, break, continue, comprehensions (list, dict, set)
Functions: args, kwargs, default params, *args/**kwargs, lambda, closures, decorators
Python 3.10+ features: match-case statements, structural pattern matching, union types (X|Y)
Error handling: try/except/else/finally, exception chaining, custom exception classes

02

OOP, Data Structures & Python Modules

OOP deep-dive: classes, inheritance, MRO, dunder methods, properties, @staticmethod, @classmethod
Python data structures: list, tuple, dict, set — time complexity, when to use each
Advanced OOP: abstract base classes (ABC), mixins, dataclasses, NamedTuple
Iterators and generators: __iter__, __next__, yield, generator expressions, memory efficiency
Python standard library: collections (Counter, defaultdict, deque), itertools, functools
File handling: pathlib.Path, reading/writing JSON, CSV, XML — context managers

03

Django 5.0 — Full-Stack Web Framework

Django project structure: settings, URLs, apps, MTV pattern vs MVC — Django philosophy
Models: field types, relationships (ForeignKey, ManyToMany, OneToOne), Meta, migrations
Django ORM: QuerySet API — filter, exclude, annotate, aggregate, select_related, prefetch_related
Views: function-based views, class-based views (CBV), generic views, mixins
Templates: template engine, template tags, filters, template inheritance, context processors
Forms: ModelForm, validation, CSRF protection, file upload handling

04

Django — Authentication, Admin & Static Files

Django authentication: User model, login/logout, registration, password reset, permission system
Custom user model: AbstractBaseUser vs AbstractUser — extending for email-based auth
Django admin: ModelAdmin customization, list_display, list_filter, search_fields, inlines
Static and media files: STATICFILES_DIRS, collectstatic, serving media in development
Django middleware: request/response lifecycle, writing custom middleware, caching middleware
Project 1: Full Django blog platform — auth, rich text editor, comments, tags, admin panel

05

PostgreSQL & Django ORM Mastery

PostgreSQL with Django: psycopg3 adapter, DATABASE settings, connection pooling with pgBouncer
Advanced ORM: F expressions, Q objects, complex queries with __lookup syntax
Database transactions: atomic(), transaction.on_commit, savepoints for data integrity
Django migrations: makemigrations, migrate, data migrations with RunPython
Database optimization: select_related vs prefetch_related, defer/only, raw SQL when needed
Database indexing in Django: db_index, unique_together, Meta.indexes — query analysis

06

Git, Testing & Project Deployment Basics

Git & GitHub: branching strategy, PRs, code reviews, conventional commits, semantic versioning
Django testing: TestCase, Client, factory_boy, pytest-django — unit and integration tests
Coverage.py: measuring test coverage, reports, CI coverage gates
Django deployment: Gunicorn + Nginx setup, environment variables with python-decouple
Render/Railway deployment: procfile, production settings, DEBUG=False checklist
Project 2: E-commerce Django app — products, cart, orders, payment mock, admin dashboard

🟢 Basic Outcome: Students build and deploy two full-stack Django applications — a blog platform and an e-commerce system — with authentication, PostgreSQL, admin dashboard, testing, and production deployment on Render/Railway.

🔵 Advanced Level — FastAPI, React, Async Python & Full-Stack Architecture

⏱ 9 Weeks

💻 5 Live Projects

🎓 Prerequisite: Basic Level

📜 Advanced Certificate

07

Django REST Framework — Production APIs

DRF serializers: ModelSerializer, nested serializers, SerializerMethodField, validation
ViewSets and Routers: ModelViewSet, custom actions, router URL configuration
DRF authentication: JWT with djangorestframework-simplejwt, refresh token rotation
Permissions: IsAuthenticated, custom permissions, object-level permissions
Filtering, searching, ordering: django-filter integration, SearchFilter, OrderingFilter
API versioning, pagination (PageNumber, Cursor), Swagger with drf-spectacular

08

FastAPI — Async API Development

FastAPI architecture: ASGI, Starlette foundation, uvicorn, hypercorn — async vs sync
Pydantic v2: models, validators, field types, model serialization, computed fields
Dependency injection: Depends(), database sessions, auth dependencies, testability
FastAPI auth: OAuth2PasswordBearer, JWT with python-jose, password hashing (passlib)
Background tasks, middleware, lifespan events, CORS — production FastAPI patterns
Project 3: FastAPI + PostgreSQL (SQLAlchemy 2.0 async) REST API with full test suite

09

React.js — Modern Frontend for Python Backends

React 18 fundamentals: JSX, components, hooks (useState, useEffect, useContext, useRef)
Data fetching: React Query (TanStack Query) for caching, mutations, and background refetch
State management: Zustand for global state, Redux Toolkit for complex state
React Router v6: SPA routing, protected routes, dynamic params, lazy loading
API integration: Axios interceptors, JWT refresh token flow, error boundaries
Project 4: React dashboard consuming Django REST API — charts (Recharts), auth, real-time updates

10

Next.js 14 — Full-Stack Python + React

Next.js 14 App Router: Server Components, Client Components, streaming, Suspense
Server Actions: form handling, data mutations, cache invalidation without API routes
Next.js + Django: API routes as BFF (Backend for Frontend), SSR with Python data
Authentication with NextAuth.js: social login, credential provider, session management
Deployment: Vercel for Next.js frontend, Python backend on AWS or Railway
Project 5: Full-stack Next.js + FastAPI SaaS application with auth and payments mock

11

Redis, Celery & Real-time with WebSockets

Redis with Python: redis-py, aioredis — caching patterns (cache-aside, write-through)
Celery with Django: task queues, beat scheduler, periodic tasks, retry strategies, chaining
Celery monitoring: Flower, task result backend, error tracking with Sentry
WebSockets with Django Channels: ASGI setup, channel layers with Redis, consumer patterns
FastAPI WebSockets: connection manager, broadcasting, real-time notifications
Project 6: Real-time chat app — Django Channels + Redis + React — multi-room, online presence

12

MongoDB, GraphQL & Advanced Database Patterns

MongoDB with Python: Motor (async), Beanie ODM — document modeling with Pydantic
MongoDB aggregation in Python: $lookup, $group, $project, $unwind — analytics queries
GraphQL with Strawberry: schema definition, resolvers, context, permissions in FastAPI
DataLoader pattern: batching N+1 queries in GraphQL with Python Strawberry
Database selection strategy: PostgreSQL vs MongoDB vs Redis — when to use each
Project 7: GraphQL API with FastAPI + Strawberry + MongoDB — social media data model

🔵 Advanced Outcome: Students build 5 production-grade projects — DRF REST API, FastAPI async backend, React dashboard, Next.js SaaS app, and real-time chat — covering the complete modern Python full-stack ecosystem deployed to production.

🟣 Professional Level — Microservices, Docker, AWS, ML Integration & FAANG Prep

⏱ 8 Weeks

💻 4 Capstone Projects

🎓 Prerequisite: Advanced Level

📜 Industry Cert + LOR

13

Microservices with FastAPI & Service Communication

Microservices architecture: bounded contexts, service decomposition, API contracts
Service communication: synchronous (REST/gRPC with grpcio) vs async (message queues)
RabbitMQ with Python: pika, aio-pika — exchanges, queues, routing, DLQ, retry
Apache Kafka with Python: confluent-kafka, aiokafka — producers, consumers, Avro schemas
API Gateway with FastAPI: routing, authentication, rate limiting, circuit breaker
Distributed tracing with OpenTelemetry: instrumenting FastAPI microservices

14

Docker, Kubernetes & Python DevOps

Python Dockerfiles: multi-stage builds, .dockerignore, layer caching, poetry/uv in containers
Docker Compose: multi-service Python apps — app + PostgreSQL + Redis + Nginx + Celery
Kubernetes for Python: Pods, Deployments, Services, ConfigMaps, Secrets, HPA
GitHub Actions CI/CD: lint (ruff, black), pytest, Docker build/push, Kubernetes deploy
Helm charts: packaging Python applications for Kubernetes deployment
Project 8: Containerized Python microservices stack — 3 services + Kafka + K8s manifest

15

AWS for Python Developers

AWS services for Python: EC2, ECS Fargate, Lambda, RDS, ElastiCache, S3, CloudFront
Python Lambda functions: deployment with SAM, Zappa, Mangum (FastAPI on Lambda)
AWS SDK (boto3): S3 file uploads, SQS queues, SES email, SNS notifications in Django
AWS RDS: PostgreSQL on RDS — Multi-AZ, read replicas, connection pooling with PgBouncer
Infrastructure as Code: AWS CDK with Python — defining infrastructure in Python classes
Cost optimization: Lambda concurrency, ECS auto-scaling, RDS reserved instances

16

ML Model Integration into Python Web Apps

Serving ML models with FastAPI: joblib/pickle loading, scikit-learn prediction endpoints
Model versioning and A/B testing: serving multiple model versions, feature flags
Integrating OpenAI/Anthropic APIs: LangChain in Django, RAG with FastAPI + pgvector
Hugging Face Transformers in production: text classification, NLP endpoints with FastAPI
Async model inference: Celery tasks for CPU-intensive ML, result streaming with SSE
Project 9: AI-powered Django application — RAG chatbot + file upload + streaming responses

17

Python Performance, Security & Monitoring

Python performance: profiling with cProfile, line_profiler — finding and fixing bottlenecks
Async Python: asyncio deep-dive, aiohttp, asyncpg — writing efficient concurrent Python
Security best practices: OWASP top 10 in Django/FastAPI, SQL injection, XSS, CSRF protection
Secrets management: AWS Secrets Manager, Vault, environment variable best practices
Observability: Sentry error tracking, Prometheus + Grafana for Django/FastAPI metrics
Load testing: Locust for Python web apps — performance benchmarking, finding limits

18

System Design, Interview Prep & Career Launch

15 mock technical interviews: Python coding, Django/FastAPI architecture, system design
Python interview patterns: async/await, GIL, memory management, generators, descriptors
System design for Python: design Twitter, Uber, Netflix, URL shortener — scale to millions
Capstone Project 10: Multi-tenant SaaS — Django + FastAPI + React + Kafka + K8s + AWS
Portfolio: GitHub contributions, FastAPI projects on Hugging Face, personal portfolio site
INFONEXUS placement: 200+ company referrals, Python developer resume coaching

🟣 Professional Outcome: Students deploy a complete Python SaaS platform — Django + FastAPI microservices + React + Kafka + Kubernetes + AWS — with ML integration, 15 mock interviews, and a production-grade portfolio targeting Python Developer and Full-Stack Engineer roles at ₹18–35 LPA.

Career Outcomes

Roles You'll
import Into Your Career

Python is the world's most popular programming language. INFONEXUS graduates are placed at product companies, startups, analytics firms, and AI-first organizations.

🐍

Python Developer

₹5–12 LPA

🌱

Django Developer

₹6–14 LPA

⚡

Backend Engineer

₹10–22 LPA

⚛️

Full-Stack Dev

₹12–24 LPA

🧠

ML Engineer

₹14–28 LPA

🚀

Senior Python SDE

₹22–35 LPA

Our Faculty

Trained by Pythonistas
Who Ship to Production

Every INFONEXUS Python trainer is an active developer with verified production Django/FastAPI projects and real engineering experience at top companies.

Nikhil Arora

// Lead Python & Django Trainer

Ex-Amazon SDE · Python Expert · 12+ Yrs

Divya Iyer

// FastAPI & Microservices Lead

Ex-Google SWE · FastAPI Contributor · 10+ Yrs

Karthik Nair

// React & Next.js Specialist

Ex-Razorpay · Full-Stack Expert · 9+ Yrs

Pooja Mehta

// DevOps & ML Integration

AWS Certified · Ex-Swiggy · 8+ Yrs

Alumni Success

4200+ Python Developers.
All Building. All Earning.

Verified salary and placement outcomes from INFONEXUS Full-Stack Python graduates at product companies, startups, and MNCs across India.

★★★★★

"

The FastAPI module at INFONEXUS is the most production-focused training I've seen anywhere. Within 2 weeks of Advanced level, I was building async APIs with dependency injection and JWT that I'd have taken months to figure out on my own. Landed a backend role at a Bangalore fintech with a 40% salary jump.

Aman Tripathi

// FastAPI Backend Dev · Bangalore

₹18 LPA

★★★★★

"

I was a Java developer who switched to Python. INFONEXUS's structured curriculum made Django click in Week 1 and by the Professional level I was deploying Kubernetes clusters with GitHub Actions. The ML integration module — connecting scikit-learn models to FastAPI — is something I use at work every single day.

Riya Verma

// Python ML Engineer · Hyderabad

₹22 LPA

★★★★★

"

The React + Django REST Framework project in Advanced level became my portfolio centrepiece. Every interviewer asked me to walk through it — the JWT refresh token flow, React Query caching, Celery background tasks. INFONEXUS teaches you exactly what companies actually build. Got 3 offers and chose the best.

Gaurav Sharma

// Full-Stack Python Dev · Pune

₹15 LPA

FAQ

Questions About
Full-Stack Python

Everything you need to know before joining INFONEXUS IT Institute's Full-Stack Python program.

Do I need prior programming experience to join the Basic level? +

No prior programming experience is required. The Basic level starts from Python installation, syntax fundamentals, and control flow — making it accessible to complete beginners. Students from engineering, commerce, arts, and non-technical backgrounds all successfully complete the program. Basic computer familiarity is the only prerequisite.

What is FastAPI and why is it included alongside Django? +

FastAPI is a modern, ultra-fast Python web framework for building async APIs — it's the fastest-growing Python framework in 2024-2025 and is used by companies like Uber, Netflix, and Microsoft. INFONEXUS includes both Django (for full-stack web applications with templates and admin) and FastAPI (for high-performance async REST APIs and microservices) because different companies and projects use different tools. Knowing both makes you significantly more hireable.

Does the course include React.js and frontend development? +

Yes. The Advanced level covers React 18 fundamentals, hooks, React Query for API integration, Zustand state management, React Router, and Next.js 14 App Router — giving you the complete full-stack Python + React skill set that employers want. You'll build real projects consuming Django REST APIs and FastAPI backends with React frontends, deploying the complete application.

What salary packages do INFONEXUS Full-Stack Python graduates get? +

Verified 2024 batch packages: Basic + Advanced graduates receive ₹5–14 LPA at startups and product companies as Python/Django/FastAPI developers. Professional level graduates targeting senior Python and backend engineering roles receive ₹15–25 LPA. Top alumni at Amazon, Google, Razorpay, and Swiggy earn ₹22–35 LPA. Average package for 2024 Professional level graduates is ₹16 LPA.

How many projects will I build during the 5-month program? +

Students build 12 portfolio-ready projects across all three levels: Django blog platform (Basic), E-commerce Django app (Basic), FastAPI + PostgreSQL REST API (Advanced), React dashboard (Advanced), Next.js + FastAPI SaaS (Advanced), real-time chat app (Advanced), GraphQL API (Advanced), containerized microservices stack (Professional), AI-powered Django RAG application (Professional), and a full-scale SaaS capstone (Professional). All projects are deployed to production and documented on GitHub.

Full-Stack Python → Web → Cloud Get Hired.