Python

Less Code. More Power.

Designed for real-world impact: hands-on labs, expert instruction, and complete CCNP exam readiness.

Duration

2 months

Language

Hindi/English

Study Material Access

Lifetime

Batch Shift

Weekdays/Weekend

Batch Size

Maximum 25

Lab

EveNG / PNet

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Course Curriculum

Upcoming Batch...

10th September 2026

Book Demo

Training Intro

Start your programming journey with our comprehensive Python Programming Training course. Designed for beginners, students, software developers, and IT professionals, this course provides a strong foundation in one of the world's most popular and versatile programming languages.

Through instructor-led sessions, hands-on coding exercises, and real-world projects, you'll learn Python fundamentals, object-oriented programming, file handling, modules, APIs, databases, and automation. The course also introduces learners to web development, data analysis, scripting, and the basics of artificial intelligence and machine learning, making it an ideal choice for anyone pursuing a career in software development or data science.

Course Highlights

Python Programming Fundamentals: Learn Python syntax, variables, data types, operators, and programming concepts.
Control Flow & Functions: Work with conditional statements, loops, functions, and reusable code.
Object-Oriented Programming (OOP): Understand classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Data Structures: Master lists, tuples, dictionaries, sets, and their practical applications.
File Handling: Read, write, update, and manage files using Python.
Exception Handling: Learn how to identify and handle runtime errors effectively.
Modules & Packages: Work with built-in and third-party Python modules and packages.
Database Connectivity: Connect Python applications with databases and perform CRUD operations.
Web Development Basics: Introduction to Python frameworks and backend development concepts.
API Integration: Learn how Python applications communicate with APIs and external services.
Automation & Scripting: Use Python to automate repetitive IT and administrative tasks.
Data Handling: Introduction to libraries such as NumPy and Pandas for working with data.
Practical Projects: Build real-world Python applications to strengthen programming and problem-solving skills.
Debugging & Testing: Learn practical techniques for finding and fixing errors.
Industry-Oriented Training: Focus on hands-on exercises and practical implementation.
Career Preparation: Develop skills relevant to Python Developer, Automation Engineer, Data Analyst, and Backend Developer roles.

Who Should Attend?

✅ Students ✅ Beginners in Programming ✅ Software Developers ✅ Web Developers

✅ Automation Engineers ✅ Data Analysts ✅ IT Professionals

Prerequisite

Basic computer knowledge
Logical thinking and problem-solving skills
No prior programming experience is required

Learning Outcomes

After completing the Python course, learners will be able to:

Understand Python fundamentals, including syntax, variables, data types, operators, and expressions.
Write Python programs using conditional statements, loops, and control-flow structures.
Work with Python data structures such as lists, tuples, dictionaries, and sets.
Create reusable functions using parameters, return values, and different function concepts.
Understand Object-Oriented Programming (OOP) using classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Handle errors and exceptions to create reliable Python applications.
Work with files and directories for reading, writing, and managing data.
Use modules, packages, and libraries to extend Python application functionality.
Connect Python applications with databases and perform basic database operations.
Work with APIs and exchange data between Python applications and external services.
Perform automation and scripting to simplify repetitive IT and business tasks.
Use Python libraries such as NumPy and Pandas for basic data processing and analysis.
Debug and troubleshoot Python programs using practical problem-solving techniques.
Develop real-world Python projects using industry-oriented programming practices.
Apply Python skills to career domains such as software development, automation, web development, data analysis, and cybersecurity.

Training Features

Instructor-Led Live Training
100% Practical Hands-on Coding Sessions
Real-World Projects and Assignments
Coding Challenges and Practice Exercises
Study Materials
Mock Interviews and Resume Preparation
Course Completion Certificate
Placement Assistance

Career Opportunities

Learning Python opens up career opportunities across software development, automation, web development, data analytics, artificial intelligence, cybersecurity, and cloud technologies.

Key Career Roles

Python Developer
Junior Python Developer
Backend Developer
Software Developer
Web Developer
Automation Engineer
QA Automation Engineer
Data Analyst
Data Scientist
Machine Learning Engineer
AI Developer
DevOps Engineer
Cloud Automation Engineer
Cybersecurity / Security Automation Engineer
API Developer
Python Application Developer

Industry Opportunities

Python professionals can work in:

IT & Software Development
Web & Application Development
Data Analytics & Business Intelligence
Artificial Intelligence & Machine Learning
Cybersecurity
Cloud Computing & DevOps
Automation & Testing
FinTech and Banking
E-commerce
Telecommunications
Education and Research

Career Growth Path

Python Trainee → Junior Python Developer → Python Developer → Senior Python Developer → Technical Lead → Software Architect

For specialized careers, learners can also progress toward:

Python → Data Analytics → Data Scientist / ML Engineer

Python → Automation → DevOps / Cloud Automation Engineer

Python → Security Automation → Cybersecurity Engineer

Career Advantage

Python is widely used because of its simple syntax, extensive libraries, automation capabilities, and applicability across multiple technology domains. Combining Python with SQL, Linux, Git, APIs, cloud platforms, databases, and cybersecurity can further improve career opportunities.

Next Learning Path

Expand your skills by learning:

Django
Flask
FastAPI
SQL & Database Management
NumPy & Pandas
Data Science
Machine Learning
Artificial Intelligence
DevOps with Python
Cloud Computing (AWS, Azure, GCP)

Master Python and gain the practical programming skills required to build applications, automate workflows, analyze data, and develop modern software solutions for today's technology-driven industries.