Python Programming Training & Certification

Learn Python programming from basics to advanced with hands-on projects. Certification, placement support & real-world skills — join the best Python course today!

Welcome to the Python Programming Course at Rohil NextGen — a comprehensive training program designed to help beginners and aspiring developers master Python from the ground up. This industry-focused Python course combines theoretical concepts with hands-on projects to ensure you gain practical expertise that tech employers seek.


Our curriculum covers both fundamental and advanced topics including Object-Oriented Programming (OOP), Data Structures, Web Development with Django & Flask, automation, and real-world Python applications. You will also receive Python certification and placement support to launch your career in software development, data science, and automation engineering.

TOP RATED 4.9 4.9 Ratings
3 Months
Course Duration
120
Total Hours
70
Practical Hours
2025
Latest Curriculum

Why Choose Python Programming Certification?

Annual Income

Estimated Salary

₹ 15 L

Job Demand

Yearly Increase in Opportunities

80%

Python Developers Needed

Projected by 2026

2.5 L

What You Will Learn ?

❝ Learn Data Structures, Web Development, and Machine Learning ❞

Course Overview

This Python Programming course equips you with the skills to write efficient Python code, build web applications, and implement machine learning algorithms. You will learn hands-on with Python libraries like Flask, Django, NumPy, and Pandas.

Key Learning Outcomes

  • Strong foundation in Core Python fundamentals including syntax, variables, data types, and control statements.
  • Apply Advanced Python concepts such as functions, modules, exception handling, file handling, and debugging.
  • Build scalable applications using Object-Oriented Programming (OOP) principles.
  • Connect Python applications with databases using SQL, MySQL, and SQLite.
  • Develop backend web applications using Django and Flask frameworks.
  • Create real-world, end-to-end Python projects ready for portfolio and deployment.

Career Opportunities After Python Training

  • Build a career as a Python Developer or Software Engineer in IT companies.
  • Work as a Backend Developer using Python with Django and Flask frameworks.
  • Get hired as an Automation Engineer to develop scripts and workflow automation solutions.
  • Start your journey as a Data Analyst using Python for data processing and analysis.
  • Python professionals are in high demand across IT, analytics, automation, and AI-driven industries.

Python Programming – 90 Days (Theory + Practical)

Week 1-2: Python Basics

Theory

  • What is Python? Why Python?
  • Setting up Python (IDLE, VS Code, Jupyter)
  • Variables, Data Types, Type Casting
  • Basic I/O (input(), print())

Practical

  • Simple calculator
  • Print name, age, and hobby interactively

Week 3-4: Control Flow & Functions

Theory

  • Conditional statements (if, elif, else)
  • Loops (for, while) and loop control
  • Functions definition and calling
  • Function arguments and return values

Practical

  • Build a number guessing game
  • Create a temperature converter function
  • Implement a factorial calculator

Week 5-6: Data Structures

Theory

  • Lists, Tuples, Sets, and Dictionaries
  • List comprehensions and operations
  • Dictionary methods and use cases
  • Data structure manipulation techniques

Practical

  • Create a student grade management system
  • Build a contact book using dictionaries
  • Implement data analysis on sample datasets

Week 7-8: Strings & File Handling

Theory

  • String manipulation and methods
  • Regular expressions basics
  • File operations (read, write, append)
  • Working with CSV and JSON files

Practical

  • Build a text analysis tool
  • Create a file encryption/decryption program
  • Implement a log file parser

Week 9-10: Error Handling & Debugging

Theory

  • Exception handling (try, except, finally)
  • Custom exception classes
  • Debugging techniques and tools
  • Logging and error tracking

Practical

  • Create robust applications with error handling
  • Implement custom exception for specific cases
  • Debug and fix provided buggy code

Week 11-12: Object-Oriented Programming (OOP)

Theory

  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation and abstraction
  • Magic methods and operator overloading

Practical

  • Build a banking system using OOP
  • Create a library management system
  • Implement a game character class hierarchy

Week 13-14: Modules, Packages, & Libraries

Theory

  • Creating and using modules
  • Package structure and distribution
  • Virtual environments and dependency management
  • Popular Python libraries overview

Practical

  • Create your own Python package
  • Set up virtual environments for projects
  • Build a utility module for common tasks

Week 15-16: Working with External Libraries

Theory

  • NumPy for numerical computing
  • Pandas for data manipulation
  • Matplotlib for data visualization
  • Requests for HTTP operations

Practical

  • Analyze and visualize datasets
  • Build a web scraper using Requests and BeautifulSoup
  • Create data analysis reports

Week 17-18: GUI Programming or Web Dev (Optional Track)

Theory

  • Tkinter for desktop applications
  • Flask/Django for web development
  • Database integration with SQLAlchemy
  • REST API development

Practical

  • Build a desktop calculator with Tkinter
  • Create a blog application with Flask
  • Develop a REST API for a todo application

Frequently Asked Questions

Do I need prior programming knowledge?

No. This course is designed for beginners as well as professionals.

Will I get a certificate?

Yes. Every student receives a verified Python Course Completion Certificate.

Do you provide placement support?

Yes. We provide resume guidance, interview preparation, and placement assistance.