Certified Python Master (CPM) – Best Cyber Security Institute in Kolkata

About Course

The Certified Python Master (CPM) is a professional certification designed to validate advanced skills in Python programming, making it suitable for software developers, data scientists, AI/ML engineers, and automation experts. The certification focuses on mastering Python as a versatile language for solving complex problems in various domains, including software development, data analysis, machine learning, web development, and scripting.

Course Content

Python Basics and Core Concepts

Python installation and setup.
Variables, data types, operators, and control flow.
Working with strings, lists, tuples, dictionaries, and sets.

Object-Oriented Programming (OOP)

Advanced Python Features

File Handling and I/O

Web Development with Python

Data Science and Machine Learning

Python for Automation

Error Handling and Debugging

Testing and Code Quality

Concurrency and Parallelism

Python for DevOps

Real-World Projects

Final Assessment and Certification

Student Ratings & Reviews

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About Course

What Will You Learn?

Course Content

Python Basics and Core Concepts

Python installation and setup.

Variables, data types, operators, and control flow.

Working with strings, lists, tuples, dictionaries, and sets.

Object-Oriented Programming (OOP)

Classes and objects, inheritance, and polymorphism.

Abstract classes, interfaces, and magic methods.

Encapsulation and design patterns.

Advanced Python Features

Decorators, generators, and context managers.

Metaprogramming and working with metaclasses.

Using Python’s built-in modules and creating custom modules.

File Handling and I/O

Reading and writing files in various formats.

Working with JSON, XML, and CSV data.

File and directory manipulation with os and pathlib.

Web Development with Python

Building dynamic web applications with Flask and Django.

Implementing user authentication, session management, and API endpoints.

Connecting to databases using SQLAlchemy and Django ORM.

Data Science and Machine Learning

Data manipulation and analysis with pandas and NumPy.

Visualization with Matplotlib and Seaborn.

Building machine learning models with scikit-learn.

Python for Automation

Automating tasks with Python scripts.

Web scraping with Beautiful Soup and Scrapy

Automating browser actions with Selenium.

Error Handling and Debugging

Handling exceptions and creating custom exceptions.

Using logging for monitoring and debugging.

Debugging tools like pdb and ipdb.

Testing and Code Quality

Writing unit tests with unittest and pytest.

Mocking and patching in tests.

Code linting and static analysis with tools like pylint and flake8.

Concurrency and Parallelism

Working with threading and multiprocessing.

Asynchronous programming with asyncio and aiohttp.

Performance optimization techniques.

Python for DevOps

Automating infrastructure tasks with Python.

Working with cloud services like AWS, Azure, and GCP SDKs.

Managing containers and orchestrations using Docker and Kubernetes.

Real-World Projects

Building a fully functional e-commerce application.

Developing a data pipeline for ETL (Extract, Transform, Load).

Creating a chatbot with machine learning and natural language processing.

Final Assessment and Certification

Complete a capstone project.

Pass a final exam to earn the certification.

Student Ratings & Reviews

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