Complete Python Pro Training
The Complete Python programming training is a hands-on course that covers everything from Python basics to advanced topics like OOP, file handling, and error management. It starts with core concepts such as syntax, variables, and data types, gradually moving into loops, functions, and modules.
Learners also explore real-world features like JSON, dates, exceptions, and classes—with mini projects included in each module. Perfect for beginners, this course builds a solid Python foundation for development, automation, or ethical hacking.
Complete Python Training Online Course Highlights
The Complete Python Course provides a practical and beginner-friendly path to mastering Python programming. It covers core concepts like syntax, variables, loops, functions, and data structures through interactive lessons and hands-on coding.
As the course progresses, you’ll dive into advanced topics such as Object-Oriented Programming, file handling, modules, and error handling. Each topic is reinforced with mini projects, making learning both engaging and application-focused—perfect for those aiming to build real-world Python skills.
- 40-Hour LIVE Instructor-led Training
- Highly Interactive and Dynamic Sessions
- Practical Training on Latest Tools
- 98% Exam Pass Rate
- Learn from Expert Trainers
- Career Guidance and Mentorship
- Extended Post-Training Support
Complete Python Pro Course Learnings
Core Python Programming: Master fundamental concepts like variables, data types, loops, conditionals, and functions to build a strong programming base.
Data Structures & File Handling: Learn to work with lists, tuples, sets, dictionaries, and handle files (text, CSV, JSON) for real-world data management.
Object-Oriented Programming (OOP): Understand classes, objects, inheritance, and encapsulation to write modular and scalable Python programs.
Modules, Packages & Error Handling: Use built-in and custom modules, handle exceptions with try-except, and organize code effectively using packages.
Real-World Projects & Automation: Build projects like calculators, data tools, and automation scripts using libraries like os, datetime, and json.
Best Python Training Online Course Curriculum
• What is Python?
• Features & Use Cases
• Installation (Windows/Mac/Linux)
• Writing & Running Scripts
• Syntax, Indentation
• Comments (Single-line & Multi-line)
• Variables and Naming Conventions
Project: Simple Calculator using user input
• Built-in Data Types
• Numbers: int, float, complex
• Type Conversion & Casting
• Boolean Logic
• Operators: Arithmetic, Comparison, Logical, Bitwise, Assignment
• Operator Precedence
Project: Build a basic grade calculator with dynamic type casting
• String Creation, Indexing, Slicing
• String Operations & Formatting
• Escape Sequences
• String Methods (lower(), replace(), split(), etc.)
Project: Password strength checker or email pattern validator
• Creating & Modifying Lists
• Indexing, Slicing, Adding, Removing Items
• List Comprehension
• Common Methods (sort(), append(), etc.)
Project: To-Do List Manager with menu-driven options
• Creating and Accessing Tuples
• Tuple Immutability
• Unpacking & Operations
Project: Student data record using tuples (with unpacking)
• Creating Sets, Set Operations
• Add/Remove Items
• Set Methods (union, intersection, etc.)
Project: Duplicate detector from a list using sets
• Creating Dictionaries
• Accessing/Modifying/Deleting Items
• Dictionary Methods (get(), update(), etc.)
• Nested Dictionaries
Project: Mini contact book using dictionaries
• if, if-else, elif, and nested if
• Logical Operators (and, or, not)
Project: Login system with multi-condition access
• for and while Loops
• Nested Loops
• Control Statements (break, continue, pass)
Project: Prime number finder and number pattern generator
• Defining and Calling Functions
• Parameters & Arguments
• return Statement
• Recursive Functions
Project: Factorial calculator (using recursion and iteration)
• What is a Module?
• Importing Modules (math, random, etc.)
• Creating Custom Modules
• Python Packages
• __name__ == "__main__" usage
Project: Build your own module with reusable utility functions
• Classes & Objects
• The self Parameter
• Constructors (init)
• Instance vs Class Variables
• Inheritance (Single, Multiple, Multilevel)
• Method Overriding
• Encapsulation & Abstraction
Project: Banking system with classes, inheritance, and account operations
• Iterators and Generators
• Working with JSON (load, dump)
• Error Handling: try, except, finally, raise
• Date and Time (datetime, time)
• Installing packages with pip
• Using Virtual Environments (venv)
Projects:
- Expense Tracker (JSON storage)
- Log Parser with timestamp filters
• Reading and Writing Files
• File Modes (r, w, a, x, b)
• Using with Statement
• Working with CSV Files
• File/Directory Handling with os Module
Project: Attendance or sales data manager (text & CSV)
Training Package
Designed to get you trained with the core knowledge.- Online Live Training
- Live Projects
- Resume Building
- LinkedIn Grooming
- Mock Interview Sessions
- Certificate Assistance
Job Seeker's Package
Designed to make you job ready with knowledge, experience, and grooming.- Online Live Training
- Live Projects
- Resume Building
- LinkedIn Grooming
- Mock Interview Sessions
- Certificate Assistance
Complete Python Pro Training Outcomes
Strong Python Foundation: Develop a solid understanding of Python syntax, logic building, and core programming concepts.
Real-World Coding Skills: Gain the ability to write clean, efficient, and modular code suitable for real applications.
Object-Oriented Programming Mastery: Apply OOP principles like classes, inheritance, and encapsulation to build scalable programs.
Data & File Handling Proficiency: Work confidently with files (text, CSV, JSON), manage errors, and use Python’s standard libraries.
Project-Based Learning: Complete hands-on projects and become job-ready for roles in automation, development, or as a foundation for data science and ethical hacking.
Unlock Career Opportunities in IT
Python Developer
Design, build, and maintain Python-based applications and scripts for web development, automation, or software tools.
Automation Engineer
Use Python to automate repetitive tasks, system operations, testing processes, or data workflows across platforms.
Quality Assurance (QA) Tester – Python Scripting
Write Python scripts to automate test cases, validate software functionality, and support continuous integration systems.
Data Analyst (Entry-Level)
Use Python libraries to clean, manipulate, and visualize data—laying the groundwork for roles in analytics and business intelligence.
Cybersecurity Analyst (Python Scripting)
Leverage Python to build basic security tools like scanners or log analyzers, supporting ethical hacking and security automation.
Technical Support Engineer
Troubleshoot software issues, write custom Python scripts to test solutions, and support automation within IT systems.
Web Developer (Backend - Python Basics)
Apply Python fundamentals in backend web development using frameworks like Flask or Django (with further learning).
Know before you Start
This course is beginner-friendly, so you don’t need any programming experience to get started.
Knowing how to navigate files, install software, and use simple tools like a text editor or terminal will make the learning process easier.
Python is all about logic and problem-solving. A curious mindset and willingness to explore will take you far.
Learning to code takes practice. Regular coding and small projects will help you retain and apply concepts faster.
Python is not just about writing code—it's about solving problems. Be ready to build tools, automate tasks, and think like a developer.
Skills You Will Gain
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Real voices, real wins—hear what our learners say!
FAQs
No, this course is beginner-friendly. You don’t need any prior programming background—just basic computer skills and a willingness to learn.
You’ll need Python (free to install), a code editor like VS Code or Jupyter Notebook, and access to basic terminal/command prompt tools.
Yes! Each module includes practical projects like calculators, data tools, and automation scripts to apply what you’ve learned.
Absolutely. This course builds a strong Python foundation that’s essential for careers in data science, automation, web development, and cybersecurity.
Definitely! It’s designed to be beginner-friendly and is ideal for students, job-seekers, and working professionals alike.












