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Hands-on Coding Labs & GitHub
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ADVANCED
14 Hours (7 Days × 2 Hours)
View Full Curriculum

Advanced Python & Application Development

By the end of Level 3, participants will be able to develop structured, maintainable and production-oriented Python applications using advanced OOP, modular programming, testing, logging, APIs, concurrency and application deployment concepts.

Live Interactive Syllabus
14 Hours (7 Days × 2 Hours)
•
Instructor-Led Online
•
5 Hands-on Coding Labs
What you'll master in Level 3
Target Competency Outcome

By the end of Level 3, participants will be able to develop structured, maintainable and production-oriented Python applications using advanced OOP, modular programming, testing, logging, APIs, concurrency and application deployment concepts.

Training Objectives & Core Deliverables

Apply advanced Python programming techniques.

Design modular and maintainable applications.

Use advanced OOP and Python design practices.

Handle concurrent and asynchronous operations.

Develop and test Python applications.

Build REST APIs using Python.

Implement logging and configuration management.

Package and deploy Python applications.

Day-by-Day Training Schedule & Live Labs
5 Live Sessions • 100% Hands-on
Day 1
Advanced Python Programming
Live Session
Topics Explored:
Advanced OOP
Abstract classes
Interfaces and protocols
Properties
Decorators
Context managers
Dataclasses
Type hints
Advanced exception handling
Hands-on Lab Exercise

Build a modular business application using advanced Python features.

Day 2
Python Application Architecture
Live Session
Topics Explored:
Modules and packages
Project organization
Virtual environments
Dependency management
Configuration management
Environment variables
Reusable components
Python coding standards
Introduction to design principles
Hands-on Lab Exercise

Refactor a monolithic Python program into a structured application.

Day 3
Concurrency & Automation
Live Session
Topics Explored:
Processes and threads
Multithreading
Multiprocessing
Asynchronous programming
asyncio
Concurrent task execution
Batch processing
Automation workflows
Hands-on Lab Exercise

Develop a concurrent file/data-processing application.

Day 4
Testing & API Development
Live Session
Topics Explored:
Unit testing
PyTest
Fixtures
Mocking basics
Debugging
Logging
REST API architecture
FastAPI
Request and response models
API error handling
Hands-on Lab Exercise

Build and test a Python REST API.

Day 5
Production-Ready Python Development
Live Session
Topics Explored:
Python application packaging
Dependency management
Git and GitHub
Configuration and secrets
Logging and error handling
Code quality
Docker fundamentals
Application deployment concepts
Hands-on Lab Exercise

Project Lab: Build a complete production-oriented Python application with modular code, database/API integration, testing, logging and containerization.

Detailed Module-wise Curriculum
5 Modules

Advanced OOP

Abstract classes

Interfaces and protocols

Properties

Decorators

Context managers

Dataclasses

Type hints

Advanced exception handling

Lab Practical: Build a modular business application using advanced Python features.

Modules and packages

Project organization

Virtual environments

Dependency management

Configuration management

Environment variables

Reusable components

Python coding standards

Introduction to design principles

Lab Practical: Refactor a monolithic Python program into a structured application.

Processes and threads

Multithreading

Multiprocessing

Asynchronous programming

asyncio

Concurrent task execution

Batch processing

Automation workflows

Lab Practical: Develop a concurrent file/data-processing application.

Unit testing

PyTest

Fixtures

Mocking basics

Debugging

Logging

REST API architecture

FastAPI

Request and response models

API error handling

Lab Practical: Build and test a Python REST API.

Python application packaging

Dependency management

Git and GitHub

Configuration and secrets

Logging and error handling

Code quality

Docker fundamentals

Application deployment concepts

Lab Practical: Project Lab: Build a complete production-oriented Python application with modular code, database/API integration, testing, logging and containerization.
ADVANCED COMPETENCY BADGE
Certificate of Technical Competency — Advanced Python & Application Development

Complete all live hands-on labs to earn this verifiable competency badge. This credential unlocks progression to full program graduation.

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Frequently Asked Questions

Frequently Asked Questions: Python Programming – Beginner, Intermediate & Advanced

Find clear answers to common questions about our live interactive classes, cohort schedules, project mentoring, and career assistance.

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Still have questions?

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Yes. Track 1 (Beginner) begins with core Python syntax, basic logic, variables, and data structures. It requires zero prior programming knowledge.

The Intermediate track covers advanced NumPy/Pandas, OOP design, and SQL database programming. The Advanced track covers FastAPI, asynchronous programming with asyncio, PyTest unit testing, and Docker containerization.

Yes. You will learn SQL database connectivity and query execution, consume REST APIs, and build high-performance REST APIs with FastAPI and Docker containerization.

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