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Course Overview

The Python Advanced Programming course takes your Python skills to the next level by focusing on complex concepts and efficient coding practices. Learners will explore advanced topics such as object-oriented programming (OOP), file and data management, APIs, exception handling, and modular code design. Emphasis is placed on writing scalable, optimized, and maintainable programs suitable for real-world software environments.

Throughout the course, participants will work on structured projects and automation tasks, mirroring professional development workflows. This program is ideal for learners aiming to bridge the gap between foundational knowledge and industry-level proficiency, preparing them for advanced applications in AI, data science, and cloud-based software systems.

Course Content

  • Advanced Python Foundations
  • Functional Programming in Python
  • Object-Oriented Programming (OOP) Deep Dive
  • Error Handling & Testing (5 hrs)
  • File Handling, Serialization & Databases
  • Concurrency & Parallelism
  • Networking & APIs
  • Data Science & Visualization
  • Automation, Scripting & Tools
  • Capstone Project
  • Learning Outcomes:
    By the end of 50 hours, learners will be able to:
    • Write clean, efficient, and production-grade Python code
    • Work with concurrency, databases, and APIs
    • Build real-world applications & automation scripts
    • Apply OOP, functional programming, and testing best practices

1: I have no programming experience?

This course is specifically designed for complete beginners. We start from the very basics, like "what is a variable?" and "how do you write a simple command?" We assume no prior knowledge and build your skills step-by-step with clear explanations, practical examples, and hands-on exercises. Your journey into coding starts here.
By the end of this course, you will have the skills to build several real-world projects to add to your portfolio. You'll be able to create functional applications like a number-guessing game, a simple calculator, a to-do list manager that runs in the command line, and a program that automatically fetches data from the web. These projects solidify the core concepts and give you the confidence to tackle more advanced topics.
Not at all! Python is free and open-source. We will guide you through the simple process of installing Python and a code editor on your computer (Windows, Mac, or Linux are all supported). The entire toolset we use in the course is completely free, so you can focus on learning without any financial investment in software.

Student Reviews

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