PYTHON 3.12 INTERPRETER ONLINE
Apply Now
PYTHON SOFTWARE ENGINEERING & AUTOMATION COHORT 2026

Write Clean Code.
Automate Workflows. Build APIs.

An intensive 4-week industrial internship mastering Python 3.12, OOP, FastAPI, Django 5, Web Scraping with Selenium & Scrapy, Asyncio concurrency, and PostgreSQL database integration.

Execute Python Script Verify Credential Ledger
Python 3.12.2 (main, Feb 2026) [GCC 13.2.0]

>>> import asyncio, httpx

>>> from fastapi import FastAPI


>>> app = FastAPI(title="PyMitra Automation Engine v2")

>>> @app.get("/api/v1/health")

>>> async def health_check():

return {"status": "OPERATIONAL", "tasks_queued": 0}


[INFO] Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

[2026-08-20 18:52:00] GET /api/v1/health 200 OK (0.84ms)

PY Python 3.12 Core Syntax
FA FastAPI & Pydantic Models
DJ Django 5 ORM & REST Framework
SC Scrapy & Selenium Scraping
AS Asyncio & Multiprocessing
PY Python 3.12 Core Syntax
FA FastAPI & Pydantic Models
DJ Django 5 ORM & REST Framework
SC Scrapy & Selenium Scraping
AS Asyncio & Multiprocessing

⚡ Quick Overview: Python Developer Internship 2026

The Python Developer Internship at Money Mitra Network is a 4-week practical program focusing on Python 3.12, Django 5, FastAPI microservices, web scraping, and automation scripts. Interns build scalable backend applications with verified code reviews. Related tracks: explore our Data Science Internship and Cyber Security Internship programs.

NS

Nitin S.

Principal Python Architect

10+ years in Python backend microservices, AsyncIO task queues, and enterprise data automation pipelines.

Core Python Engineering Paradigms

Python powers high-performance backends, web scraping bots, automated scripts, and AI workflows. Master production-ready Python architectures.

⚡

Asyncio & Concurrency

Execute thousands of concurrent network requests efficiently using Python's event loop (`asyncio`), `aiohttp`, and non-blocking I/O.

🚀

High-Speed FastAPI Backends

Architect lightning-fast RESTful APIs using FastAPI, Pydantic type validation, and automatic OpenAPI Swagger documentation.

🤖

Web Scraping & Automation

Extract structured web data using Selenium, Scrapy, and BeautifulSoup, bypassing anti-bot measures to automate data pipelines.

3 Specialization Tracks

Align your Python path with backend web development, web scraping automation, or data engineering scripting.

TRACK 01

Backend Web Engineering

Construct scalable RESTful backend services and web applications using FastAPI, Django 5, and PostgreSQL relational databases.

  • ✓ FastAPI & Django 5
  • ✓ SQLAlchemy & Alembic
  • ✓ JWT Token Authentication
  • ✓ PostgreSQL & Redis Caching
TRACK 02

Web Scraping & Automation

Design automated web bots, headful/headless browser scrapers, and data extraction pipelines to collect market intelligence.

  • ✓ Selenium WebDriver
  • ✓ Scrapy Framework
  • ✓ BeautifulSoup4 & lxml
  • ✓ Automated Telegram/Email Alerts
TRACK 03

Data Scripting & Systems Tooling

Write robust Python CLI tools, automated file processing scripts, Excel/PDF report generators, and system administrative scripts.

  • ✓ Pandas & NumPy Data Wrangling
  • ✓ Click / Typer CLI Frameworks
  • ✓ OpenPyXL & PDF processing
  • ✓ PyTest & TDD Testing

10 Python Ecosystem Tools

Master the exact libraries and frameworks used by Python Software Engineers globally.

1. Python 3.12

Core syntax, type hinting, structural pattern matching, GIL improvements, and OOP design patterns.

2. FastAPI & Pydantic

High-performance web framework based on standard Python type hints and data validation.

3. Django 5

The batteries-included Python web framework featuring ORM database modeling and admin panel.

4. Selenium & Playwright

Headless browser automation tools for navigating dynamic JavaScript-rendered web pages.

5. Scrapy

Fast, high-level web crawling framework for scraping websites and extracting structured data.

6. SQLAlchemy & Alembic

The SQL Toolkit and Object Relational Mapper for Python with database migration support.

4-Week Structured Curriculum

From Python core fundamentals to web scraping, FastAPI backends, and Docker containerization.

WEEK 01 • PYTHON CORE & OOP

Python 3.12 Foundations & Object-Oriented Design

Master Python 3.12 data structures (Lists, Dicts, Sets), decorators, generators, context managers, classes, inheritance, and exception handling.

Key Modules:

  • Python OOP: Classes, Methods, Encapsulation & Inheritance.
  • Decorators (`@staticmethod`, `@classmethod`, custom wrappers).
  • File I/O, JSON processing & Exception handling.
WEEK 02 • WEB SCRAPING & AUTOMATION

BeautifulSoup, Selenium & Scrapy

Extract web data using BeautifulSoup4, automate browser interactions using Selenium, and build high-speed asynchronous crawlers using Scrapy.

Key Modules:

  • Parsing HTML DOM elements with BeautifulSoup & CSS selectors.
  • Selenium WebDriver navigation & handling dynamic JS pages.
  • Scrapy spiders, item pipelines, and exporting JSON/CSV.
WEEK 03 • FASTAPI BACKEND & DATABASES

FastAPI, Pydantic & PostgreSQL ORM

Construct RESTful web APIs using FastAPI, validate request bodies with Pydantic schemas, and manage database records using SQLAlchemy ORM.

Key Modules:

  • FastAPI GET/POST/PUT/DELETE routes & status codes.
  • Pydantic data validation & request body parsing.
  • SQLAlchemy ORM models, relationships & PostgreSQL queries.
WEEK 04 • ASYNCIO, TESTING & DEPLOYMENT

Asyncio Concurrency, PyTest & Docker

Implement asynchronous execution using `asyncio`, write automated test suites with PyTest, and package Python apps into Docker containers.

Key Modules:

  • Asyncio event loop, tasks, and `aiohttp` async requests.
  • Unit testing & API integration testing using PyTest.
  • Dockerizing Python apps with Dockerfile & docker-compose.

8 Practical Industrial Python Projects

Build a stellar Python GitHub repository filled with production-ready scripts and API servers.

PROJECT 01

Automated Web Scraper

Build a Scrapy crawler to extract 10,000+ e-commerce product listings and save data to PostgreSQL.

Deliverable: Scrapy Spider Code & SQL Dump
PROJECT 02

FastAPI REST Microservice

Develop a FastAPI backend supporting CRUD operations, JWT authentication, and Pydantic schemas.

Deliverable: FastAPI Server & Swagger Docs
PROJECT 03

Price Monitoring Bot

Build a Selenium bot that monitors flight prices and sends instant alerts via Telegram Bot API.

Deliverable: Bot Script & Telegram Integration
PROJECT 04

Django 5 Portal App

Construct a full-stack Django 5 web application featuring user auth, database models, and admin panel.

Deliverable: Django App Repo & Admin Setup
PROJECT 05

Async Data Pipeline

Implement an asynchronous data processing pipeline using Asyncio and aiohttp for rapid API querying.

Deliverable: Asyncio Pipeline Script
PROJECT 06

Python CLI System Tool

Build a command-line tool using Typer/Click for automated file management and system reporting.

Deliverable: CLI Tool Package & Docs
PROJECT 07

Automated PDF/Excel Tool

Script an automated document parser using OpenPyXL to extract data from Excel sheets into formatted PDFs.

Deliverable: Document Processing Script
PROJECT 08

Dockerized Python App

Package a complete FastAPI microservice into a Docker container ready for cloud deployment.

Deliverable: Dockerfile & Container Image Build

Performance Stipends & Credentials

Earn monthly stipends while building verifiable proof of your Python software engineering capabilities.

TIER 01 • STARTER
₹3,000 / mo

Awarded to candidates who successfully complete all 8 Python lab projects with clean code structure.

TIER 02 • ADVANCED
₹6,000 / mo

Awarded for top 15% performance, including high-speed Scrapy spiders and clean FastAPI microservices.

TIER 03 • EXECUTIVE
₹10,000 / mo

Awarded to top 5% candidates demonstrating outstanding Dockerized Python backends and async pipelines.

OFFICIAL COHORT ADMISSIONS OPEN

Ready to Begin Your Python Engineering Internship?

Submit your candidate application via our official admissions form to reserve your slot in the upcoming 2026 enterprise cohort.

Open Official Application Form (Google Form) →

Frequently Asked Questions

Everything you need to know about joining our Python Engineering Cohort.

Do I need prior Python coding experience to join? ↓
Basic knowledge of coding concepts is helpful. Week 1 covers Python 3.12 syntax, data structures, and Object-Oriented Programming (OOP) to establish a firm programming baseline.
What software tools do I need to install? ↓
You will need Python 3.12+, Visual Studio Code (or PyCharm), Git, and Docker Desktop installed on your Windows, Mac, or Linux computer.
How is my completion certificate verified by employers? ↓
Every certificate issued contains a unique QR code and cryptographic verification link hosted at verification.moneymitranetwork.com. Recruiters can scan the QR code to verify your project portfolio and assessment scores instantly.
How are performance stipends evaluated for Python projects? ↓
Stipends range from ₹3,000 to ₹10,000/month based on code evaluation: PEP8 formatting, Asyncio non-blocking performance, API security, unit test coverage, and Docker containerization.
What backend frameworks and libraries are covered? ↓
You will build production backend services using Python 3.12, FastAPI, Django REST Framework, SQLAlchemy / PostgreSQL, Redis caching, Celery task queues, PyTest automated testing, and Docker container deployment.
How do I submit my backend Python projects for review? ↓
Candidates submit public GitHub code repository links containing complete source code, PyTest test suites, and Dockerfile configurations through the Money Mitra Network submission portal.
What are the candidate refund policies and support contacts? ↓
Money Mitra Network maintains transparent candidate policies. Review our canonical Refund Policy and Terms & Conditions, or contact support at moneymitranetwork@gmail.com.