← Back to the cataloguePython
Beginner to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A complete Python course from syntax to packaged, tested applications. The course covers the language properly data model, iteration, functions, classes, typing, errors then the standard library and the practices that make Python maintainable: virtual environments, testing, linting and packaging.
Learners build a CLI tool, an API client and a small automated service.
Who it is for
- Beginners to programming
- Analysts automating work
- Developers adding Python
- Students in engineering and science
Prerequisites
None.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Packaged Python Tool
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Write clear Python using appropriate data structures.
02
Use classes, dataclasses and type hints.
03
Write tests with pytest and measure coverage.
04
Write async code where it helps.
05
Structure code into modules and packages.
06
Handle files, JSON, CSV and HTTP APIs.
07
Use virtual environments and manage dependencies.
08
Package and distribute a tool.
Module structure
8 modulesNumbers and strings . Scope . Lists, tuples, sets, dicts . Functions
Lab
Exercises Set . Comprehensions
Module 02
Functions and Iteration
Arguments and defaults . Iterators . functools . *args and **kwargs . Generators . itertools
Module 03
Object-Oriented Python
Dunder methods . Dataclasses . ABCs . Inheritance and composition . Properties . Enums
Module 04
Errors and Typing
Exceptions . Type hints . Optional and Union . mypy basics
Module 05
Standard Library
pathlib . datetime . json and csv . re . collections . logging . argparse . subprocess . LAB
Module 06
Working with Data and APIs
requests . Rate limits . Pandas introduction . LAB . API CLIENT . Pagination and retries . Auth headers . SQLite
Module 07
Testing and Quality
pytest . Fixtures . Parametrisation . Mocking . ruff and black . Pre-commit hooks
Module 08
Async and Packaging
asyncio basics . Tasks and gathering . httpx . Project layout . pyproject.toml . Virtual environments . Publishing
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
Python DeveloperAutomation EngineerBackend DeveloperData EngineerDevOps Engineer
