Course Title: Advanced Python Programming

📅 Duration: 4 Weeks (Twice a Week)
🖥 Format: Online Live Sessions + Hands-on Assignments

Week 1: Advanced OOP & Design Patterns

📌 Session 1:

• Deep Dive into Object-Oriented Programming (OOP)

• Metaclasses & Dynamic Class Creation

• Property Decorators & @dataclass

• Mini Project: Plugin-Based System Using Metaclasses

📌 Session 2:

• Introduction to Design Patterns

• Singleton, Factory, and Observer Patterns

• Dependency Injection & Code Reusability

• Mini Project: Custom Logger with Singleton Pattern

Week 2: Concurrency, Multithreading & Asynchronous Programming

📌 Session 3:

• Introduction to Multithreading & Multiprocessing

• Working with threading & multiprocessing Modules

• Process Pooling & Performance Optimization

• Mini Project: Parallel Image Processing

📌 Session 4:

• Asynchronous Programming with asyncio

• Event Loop, Coroutines, & await Keyword

• Building High-Performance Async APIs

• Mini Project: Async Web Scraper with aiohttp

Week 3: Advanced Data Handling & Machine Learning Basics

📌 Session 5:

• Data Processing with Pandas & NumPy

• Working with Large Datasets & Performance Tuning

• Data Serialization (pickle, protobuf, msgpack)

• Mini Project: Data Aggregation Dashboard

📌 Session 6:

• Introduction to Machine Learning with Scikit-Learn

• Writing a Simple Machine Learning Model

• Deploying a Machine Learning Model with Flask/FastAPI

• Mini Project: Predictive Model API

Week 4: Security, Deployment & Final Project

📌 Session 7:

• Secure Coding Practices in Python

• Authentication, Encryption (hashlib, pycryptodome)

• Dockerizing Python Applications

• Mini Project: Secure Encrypted Password Manager

📌 Session 8:

• Deploying Python Applications to Cloud (AWS, GCP, Heroku)

• Performance Tuning & Code Optimization

• Final Project Showcase & Code Review

• Next Steps: Exploring AI, Cybersecurity, or Advanced Web Development