Introduction:
Python is not only simple and easy to learn but also a powerful tool that helps programmers tackle complex real-world problems. If you’ve mastered the basics of Python and want to elevate your skills to build web applications, automation tools, data analysis solutions, or AI, then the “Advanced Python Programming” course at Master Learning Hub Academy is the perfect choice.
The course focuses on in-depth programming mindset, code optimization, teamwork, and product deployment. You won’t just learn how to write efficient Python code—you’ll also gain insight into applying Python to real-world projects, from software development and performance optimization to deploying applications using Docker and APIs.
Course Objectives:
- Develop programming thinking to independently design and build business applications.
- Master customization skills in web development, data analysis, AI, and automation.
- Create practical solutions such as web apps, dashboards, automation tools, or basic AI models.
- Work effectively in teams with Git and deploy real-world applications to production environments.
Target Audience:
- Students who have completed the Python Basics Programming course or have equivalent knowledge.
- Programmers looking to enhance their skills to develop business applications or participate in real-world projects.
- Individuals aiming to work in fields such as web development, data analysis, automation, or AI.
Course Duration:
- Duration: 48 hours
Course Materials:
- The training content is based on an exclusive curriculum developed by Master Learning Hub Academy, combined with real-world industry experience.
Certification:
- Course Completion Certificate: Learners who attend more than 80% of the sessions will receive a printed course completion certificate issued by Master Learning Hub Academy – Microsoft Global Training Partner.
Course Outline:
Module 1: Basic OOP
• Review basic syntax and data structures.
• Classes, objects, and inheritance in object-oriented programming.
• Practice: Build an asset management class.
• Application: Write structured and maintainable code.
Module 2: Advanced OOP
• Polymorphism, encapsulation, and modularizing code.
• Practice: Employee management system with advanced features.
• Application: Create reusable code for large projects.
Module 3: Functional Programming
• Use Lambda, map(), filter() to efficiently process data.
• Practice: Handle data quickly with large lists.
• Application: Optimize code.
Module 4: Debugging and Testing
• Use the pdb library to find errors.
• Write basic unit tests to check code.
• Practice: Debug a complex script.
• Application: Quickly detect errors and ensure the program runs smoothly when functionality changes.
Module 5: Performance Optimization
• Profiling and debugging performance.
• Optimize loops and algorithms.
• Practice: Speed up a data processing script.
• Application: Ensure high performance for the application.
Module 6: Advanced File Management
• Handling large files, data backup.
• Optimizing file reading/writing.
• Practice: Automatic data backup tool.
• Application: Efficient file system management.
Module 7: Threads, Multithreading, and Multithreading Programming
• Concepts of threads, multithreading, and how they work.
• Practice: Apply multithreading in file management and employee management.
• Application: Improve performance for high-load systems, concurrently handling multiple operations.
Module 8: Working with APIs
• Sending RESTful requests, handling JSON data.
• Practice: Pull data from public APIs (e.g., weather, pricing).
• Application: Integrating systems with external data.
Module 9: Databases with Python
• Connecting and querying SQLite/PostgreSQL.
• Practice: Order management with a database.
• Application: Storing and managing business data.
Module 10: Data Analysis with Pandas
• Working with DataFrame: filtering, aggregating data.
• Visualizing data with Matplotlib.
• Practice: Create revenue reports from CSV files.
• Application: Analyze KPIs and support decision-making.
Module 11: Advanced Automation
• Web scraping with Selenium.
• Sending automated emails with Python.
• Practice: Market price tracking tool.
• Application: Automating business processes.
Module 12: Web Development with Flask
• Setting up Flask and creating a simple web application.
• Practice: Task management page with Flask.
• Application: Build a basic web application.
Module 13: Basic AI
• Introduction to AI and how to apply Python.
• Practice: Build a simple language learning AI assistant.
• Application: Apply basic AI in real-world scenarios.
Module 14: Project Management with Git
• Branching, merging, and team collaboration with Git.
• Practice: Manage a team code repository.
• Application: Efficient collaboration in real-world projects.
Module 15: Deployment with Docker
• Containerizing applications with Docker.
• Practice: Package and deploy a web app.
• Application: Deploy products to production environments.
Module 16: Group Project - Part 1
• Design a business application (web app, automation tool, or dashboard).
• Assign tasks to the team and begin development.
• Application: Build a real-world solution.
Module 17: Group Project - Part 2
• Finalize the application, optimize and test.
• Prepare to present the project to the class.
• Course wrap-up.
• Application: Complete a fully functional product.
