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Professional Course

Python Advanced

Take your Python skills to the next level with advanced programming, backend development, APIs, databases, automation, asynchronous programming and real-world application development.

Course Duration

4 Months

Course Mode

Online & Offline

Lecture Duration

1 Hour / Day

Certificate Type

Certificate

Projects

Advanced Projects

Course Overview

Go Beyond The Basics.
Build Real Applications.

Develop professional Python programming skills through advanced concepts, backend technologies and practical application development.

From Python Programmer To Developer

This course is designed for students who already understand Python fundamentals and want to move into more advanced programming and application development.

You will explore advanced object-oriented programming, decorators, generators, iterators, database connectivity, APIs, backend frameworks, asynchronous programming and testing.

The course focuses heavily on practical development, allowing students to build applications that combine multiple Python concepts into complete working systems.

Advanced Python Master powerful Python programming techniques.
Backend Development Build server-side applications and APIs.
Databases Connect Python applications to databases.
Real Projects Build complete applications for your portfolio.
What You'll Learn

Advanced Skills
For Real Development

Move from writing individual scripts to designing, developing and deploying complete Python applications.

01

Advanced Python

Work with advanced syntax, comprehensions, iterators, generators and decorators.

02

Object-Oriented Design

Build scalable applications using advanced classes, inheritance and design principles.

03

Databases

Store, retrieve and manage application data using SQL and Python.

04

REST APIs

Create and consume APIs to connect applications and external services.

05

Web Development

Build backend applications using modern Python web frameworks.

06

Async Programming

Understand asynchronous programming and efficient task execution.

07

Testing

Test Python applications and create more reliable production-ready code.

08

Automation

Build advanced scripts and tools to automate real-world workflows.

09

Deployment

Understand the fundamentals of preparing Python applications for deployment.

Complete Syllabus

Python Advanced
Course Modules

A structured advanced curriculum covering Python programming, backend development, databases, APIs and professional application development.

01

Advanced Python Fundamentals

Taking control of Python's advanced features
āŒ„

Topics Covered

  • Python execution model
  • Mutable and immutable objects
  • Object references
  • Shallow and deep copies
  • Advanced slicing
  • Comprehensions
  • List, set and dictionary comprehensions
  • Lambda functions
  • Map, filter and reduce
  • Practical advanced Python exercises
02

Advanced Functions

Functional programming techniques
āŒ„

Topics Covered

  • First-class functions
  • Higher-order functions
  • Nested functions
  • Closures
  • Function annotations
  • args and kwargs
  • Lambda expressions
  • Functional programming patterns
  • Writing reusable utilities
03

Iterators & Generators

Efficient data processing
āŒ„

Topics Covered

  • Iterable objects
  • Iterator protocol
  • Creating custom iterators
  • Generator functions
  • yield
  • Generator expressions
  • Lazy evaluation
  • Memory-efficient programming
  • Practical data-processing exercises
04

Decorators & Context Managers

Extending and controlling Python behaviour
āŒ„

Topics Covered

  • Understanding decorators
  • Creating custom decorators
  • Function wrapping
  • Practical decorator patterns
  • Context managers
  • with statement
  • Creating custom context managers
  • Resource management
05

Advanced Object-Oriented Programming

Designing scalable Python applications
āŒ„

Topics Covered

  • Advanced classes
  • Inheritance
  • Multiple inheritance
  • Method overriding
  • Class methods
  • Static methods
  • Properties
  • Dunder methods
  • Magic methods
  • Abstract classes
  • Composition
  • Introduction to SOLID principles
06

Modules, Packages & Project Architecture

Structuring professional Python projects
āŒ„

Topics Covered

  • Project structure
  • Packages and sub-packages
  • Import systems
  • __init__.py
  • Virtual environments
  • requirements.txt
  • Dependency management
  • Environment variables
  • Configuration management
  • Writing maintainable code
07

Exception Handling & Logging

Building reliable applications
āŒ„

Topics Covered

  • Exception hierarchy
  • Custom exceptions
  • Exception propagation
  • Advanced try/except patterns
  • Logging fundamentals
  • Log levels
  • Logging files
  • Debugging production applications
08

Databases & SQL

Connecting applications to persistent data
āŒ„

Topics Covered

  • Database fundamentals
  • Relational databases
  • SQL fundamentals
  • Tables and relationships
  • CRUD operations
  • SELECT, INSERT, UPDATE and DELETE
  • Filtering and sorting
  • Joins
  • SQLite with Python
  • Database connections
  • Parameterized queries
09

Working With APIs

Connecting applications and services
āŒ„

Topics Covered

  • HTTP fundamentals
  • REST architecture
  • GET, POST, PUT and DELETE
  • Request headers
  • Query parameters
  • JSON data
  • Authentication basics
  • API error handling
  • Working with public APIs
  • Building API-consuming applications
10

Backend Development With Flask / FastAPI

Building Python-powered web services
āŒ„

Topics Covered

  • Introduction to Python web development
  • Flask / FastAPI fundamentals
  • Application structure
  • Routes and endpoints
  • Request and response handling
  • Path and query parameters
  • JSON responses
  • CRUD API development
  • Connecting APIs to databases
  • API documentation fundamentals
11

Authentication & Application Security

Protecting Python applications
āŒ„

Topics Covered

  • User registration and login concepts
  • Password hashing fundamentals
  • Sessions
  • Tokens
  • JWT fundamentals
  • Authentication middleware
  • Input validation
  • Environment secrets
  • Common web security considerations
12

Asynchronous Programming

Working efficiently with concurrent tasks
āŒ„

Topics Covered

  • Synchronous vs asynchronous programming
  • Concurrency fundamentals
  • async and await
  • Event loops
  • Async functions
  • Concurrent tasks
  • Async API requests
  • Understanding when asynchronous programming is useful
13

Multithreading & Multiprocessing

Running computational tasks efficiently
āŒ„

Topics Covered

  • Processes vs threads
  • Threading fundamentals
  • Creating and managing threads
  • Thread synchronisation
  • Multiprocessing
  • Process pools
  • Concurrent task execution
  • Understanding Python's GIL
14

Advanced Automation

Building useful automation systems
āŒ„

Topics Covered

  • Advanced file automation
  • Folder monitoring
  • Batch processing
  • Automated reports
  • Spreadsheet automation
  • Web automation concepts
  • Scheduled scripts
  • Command-line automation
  • Building reusable automation tools
15

Testing & Code Quality

Writing dependable production code
āŒ„

Topics Covered

  • Why testing matters
  • Unit testing
  • Test cases
  • Assertions
  • Pytest fundamentals
  • Testing functions and APIs
  • Test organisation
  • Code readability
  • PEP 8 fundamentals
  • Writing maintainable code
16

Git, GitHub & Version Control

Managing professional development projects
āŒ„

Topics Covered

  • Git fundamentals
  • Repositories
  • Commits
  • Branches
  • Merging
  • Remote repositories
  • GitHub workflows
  • README documentation
  • Managing project versions
17

Deployment Fundamentals

Taking Python applications online
āŒ„

Topics Covered

  • Application deployment concepts
  • Production configuration
  • Environment variables
  • Dependency management
  • Application servers
  • Hosting fundamentals
  • Deployment workflows
  • Basic cloud deployment concepts
  • Monitoring deployed applications
18

Final Application Development

Bringing the complete skill set together
āŒ„

Topics Covered

  • Project planning
  • Application architecture
  • Database integration
  • API development
  • User authentication
  • Error handling
  • Testing
  • Git and version control
  • Deployment preparation
  • Project documentation
  • Portfolio presentation
Practical Training

Build Advanced
Python Projects

Apply advanced concepts by developing applications that combine programming, databases, APIs and backend technologies.

PROJECT 01

Advanced File Automation System

Build an intelligent file-management utility capable of organising, renaming and processing large groups of files automatically.

PROJECT 02

Database Management Application

Create a Python application connected to a database with complete CRUD functionality.

PROJECT 03

REST API

Build a backend API capable of handling requests, returning JSON data and communicating with a database.

PROJECT 04

Authentication System

Develop a user registration and authentication system with protected application resources.

PROJECT 05

API Data Dashboard

Connect to an external API, process the returned data and present useful information through an application interface.

PROJECT 06

Web Automation Tool

Create a Python-based automation workflow for repetitive browser or online-data tasks.

PROJECT 07

Async Data Processing Tool

Build an application that performs multiple network-based tasks using asynchronous programming.

FINAL PROJECT

Full-Stack Python Application

Plan, develop, test and deploy a complete Python application combining APIs, databases, authentication and backend development.

Tools & Technologies

Technologies Used
In The Course

Work with technologies commonly used to develop, test, manage and deploy Python applications.

Python Programming Language
VS Code Development Environment
Git Version Control
GitHub Code Repository
SQLite Database
SQL Database Language
Flask Web Framework
FastAPI API Framework
REST API Web Services
Pytest Testing
JSON Data Exchange
pip Package Management
Career Opportunities

Build Skills For
Modern Development

Advanced Python skills can be applied across backend development, automation, data, APIs and software engineering.

Python Developer

Develop applications, automation systems and Python-based software.

Backend Developer

Build server-side applications and REST APIs using Python frameworks.

API Developer

Develop services that connect applications, databases and external platforms.

Automation Developer

Create advanced scripts and automated business workflows.

Software Developer

Use Python to develop structured, maintainable software applications.

Web Application Developer

Build backend systems and web applications using Python technologies.

Data Developer

Build data-processing and data-management systems using Python.

AI / ML Developer

Continue into machine learning and AI using Python's extensive ecosystem.

Freelance Python Developer

Create custom automation, APIs, utilities and applications for clients.

Course Outcome

By the end of the course, you will be able to:

Design, develop and manage advanced Python applications using professional programming practices and modern backend technologies.

Write advanced and reusable Python code
Use decorators, generators and iterators
Design applications using advanced OOP
Structure professional Python projects
Work with SQL databases
Build and consume REST APIs
Develop Python backend applications
Implement authentication fundamentals
Work with asynchronous programming
Build advanced automation tools
Test and debug Python applications
Use Git and GitHub for development
Prepare applications for deployment
Build portfolio-ready Python projects
Start Your Journey

Go Beyond The Basics.
Build What's Next.

Take your Python skills into advanced programming, backend development and real-world application building.

Apply Now Download Syllabus PDF