Certified Python Developer

Duration: 108 Hours | 3 Months

A Certified Python Developer specializes in writing, testing, and optimizing Python code for various applications, including web development, data analysis, automation, and artificial intelligence. Key responsibilities include developing efficient algorithms, working with frameworks like Django and Flask, integrating databases, handling APIs, and debugging software. This role focuses on leveraging Python’s versatility to build scalable solutions, automate tasks, and enhance overall system efficiency.

Prerequisites

  • Basic knowledge of programming concepts is recommended.

  • Familiarity with data structures, logic building, or object-oriented programming is advantageous but not mandatory.

  • Problem-solving skills, analytical thinking, and attention to detail are essential for success in this program.

Course Objectives

The Certified Python Developer Training Program equips participants with the skills to develop, optimize, and deploy Python-based applications. The primary objective is to enable learners to build efficient code, automate tasks, analyze data, and develop web applications, enhancing problem-solving and software development capabilities.

What You Will Learn

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Our curriculum offers practical knowledge and hands-on experience to master key aspects of Python programming. Here's what you will learn throughout the course:

Python Programming

  • Introduction to Python

  • Installing Python & IDEs (PyCharm, VS Code)

  • Python Syntax & Variables

  • Data Types & Type Conversion

  • Operators & Expressions

Control Structures

  • Conditional Statements (if, elif, else)

  • Loops (for, while)

  • List & Dictionary Comprehensions

  • Exception Handling

Data Structures & Algorithms

  • Lists, Tuples, Sets, Dictionaries

  • Stacks & Queues

  • Sorting & Searching Algorithms

  • Linked Lists & Trees

Object-Oriented Programming (OOP)

  • Classes & Objects

  • Inheritance & Polymorphism

  • Encapsulation & Abstraction

  • Magic Methods & Dunder Methods

Functional Programming

  • Lambda Functions

  • Map, Filter, Reduce

  • Decorators & Generators

File Handling

  • Reading & Writing Files

  • Working with CSV & JSON

  • Handling Large Files

Database Connectivity

  • SQLite with Python

  • MySQL & PostgreSQL Integration

  • ORM (SQLAlchemy, Django ORM)

Web Development

  • Flask & Django Frameworks

  • REST API Development

  • Authentication & Authorization

  • Web Scraping with BeautifulSoup & Selenium

Data Science & Machine Learning

  • NumPy & Pandas

  • Data Visualization (Matplotlib, Seaborn)

  • Scikit-learn for ML

  • TensorFlow & PyTorch Basics

Automation & Scripting

  • Web Automation with Selenium

  • Task Automation with Python

  • Working with APIs (Requests, JSON)

Cybersecurity & Ethical Hacking

  • Cryptography in Python

  • Network Security with Scapy

  • Penetration Testing Basics

DevOps & Cloud Integration

  • Docker & Kubernetes

  • AWS Lambda with Python

  • CI/CD Pipelines

Testing & Debugging

  • Unit Testing (unittest, pytest)

  • Debugging Tools

  • Logging & Monitoring

Professional Development

  • Open Source Contributions

  • Building a Python Portfolio

  • Freelancing & Job Market Trends

Emerging Trends

  • AI & Deep Learning

  • Blockchain with Python

  • Quantum Computing

Ready to get started?

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