Nvidya’s comprehensive Python Certification Program covers everything from Python fundamentals to advanced concepts, including data handling, conditional logic, scripting, and Django web development. Gain practical, hands-on experience to build real-world applications and launch a rewarding career as a professional Python developer.
Reinforce your learning with hands-on exercises across all modules.
Test your understanding with 5 module quizzes and a real-world course-end project.
Earn a certificate that validates your Python expertise.
Engage 8X more with industry experts in interactive online sessions.
Unlock new career horizons with Python mastery- build scalable applications, automate workflows, and dive into data-driven roles. Certified Python professionals stand out in tech teams, command competitive salaries, and gain opportunities in AI, web development, and advanced software engineering.
This Python certification is ideal for anyone aiming to build a career in software development, data science, or automation. It is especially suited for software developers, engineers, technical leads, architects, and programming enthusiasts.
Learners should have a high school diploma or an undergraduate degree. No prior Python experience is required, though basic programming knowledge is helpful.
1.1 Course Introduction
1.2 Learning Objectives
1.3 Introduction to Python and Its Features
1.4 Python Introduction - Uses and Flavours
1.5 Python Introduction - Why Python
1.6 Software Installation and Environment Setup
1.7 Demo: Software Installation and Environment setup
1.8 Data Types
1.9 Input Output Functions
1.10 Demo: Data Types and Input Output Functions
1.11 Key Takeaways
2.1 Learning Objectives
2.2 Data Type Conversion
2.3 Arithematic Operators
2.4 Comparision Operators
2.5 Assignment Operators
2.6 Bitwise Operators
2.7 Demo: Data Operations
2.8 String Methods
2.9 Demo: String Operations
2.10 List Methods
2.11 Demo: List Operations
2.12 Tuple Methods
2.13 Demo: Tuple Operations
2.14 Sets Methods
2.15 Dictionary Methods
2.16 Demo: Dictionary Operations
2.17 Key Takeaway
3.1 Learning Objective
3.2 Expressions
3.3 Conditional Statement
3.4 Demo - Conditional Statement
3.5 Loops - for loop
3.6 Loops - while loop
3.7 Demo - Loops
3.8 Functions
3.9 Demo - Functions
3.10 Key Takeaway
4.1 Learning Objective
4.2 File Handling
4.3 Demo - File Handling
4.4 Errors
4.5 Exceptions
4.6 Demo - Errors and Exceptions
4.7 Logging
4.8 Demo - Logging
4.9 Python Debugger(Pdb Module)
4.10 Demo - Python Debugger
4.11 Objects and Classes
4.12 Objects and functions
4.13 Demo - Object Oriented Programming
4.14 Key Takeaway
5.1 Learning Objective
5.2 Shell Scripting
5.3 Sys, OS and Sub-Process module
5.4 Reading Writing Files and Working with Date-time Module
5.5 Demo - Shell Scripting in Python
5.6 Web Scrapping
5.7 Demo - Web Scrapping using Beautiful Soup
5.8 Django - Intro and Architecture
5.9 Demo - Django Installation
5.10 Key Takeaway
6.01 Learning Objectives
6.02 Introduction to Python Logging
6.03 Concepts of Python Logging
6.04 Changing the Format of Logs
6.05 Python Logger
6.06 Using Python Logging
6.07 Logging Handlers and Formatters
6.08 Logging Flow
6.09 Configuring Logging
6.10 Extending Logging
6.11 Buffering Logs
6.12 Logging Best Practices
6.13 Rotating Log Files
6.14 Logging to a File
6.15 Summary
7.01 Learning Objective
7.02 Introduction to Unit Testing
7.03 Introduction to Unittest Framework
7.04 Concept of Unittest Framework
7.05 Command Line
7.06 Python Unittest
7.07 Using Python Unittest
7.08 Testing for Exceptions
7.09 Test Fixtures
7.10 Python Assertions
7.11 Classes and Functions
7.12 Pros and Cons
7.13 Mock object library
7.14 Summary
8.01 Learning Objective
8.02 Introduction to Python Networking
8.03 Sockets
8.04 Socket Programming
8.05 Working with Python Networking
8.06 Data Models
8.07 Building Client-Server Communication
8.08 Socket Types
8.09 TCP Sockets
8.10 The Tornado Framework
8.11 Building a Python Chat Server
8.12 Summary
Create a Python decorator that captures the output of any function and writes it to a file, with each result stored on a new line.
Develop a secure password manager that tracks and manages all passwords for various user accounts efficiently.
Build a Django-based web application for hospital receptionists to manage patient registrations, including checks for existing patients and seamless new patient onboarding.
To receive your Python certification from Nvidya, you need to:
This course is ideal for software developers, data analysts, programming enthusiasts, and anyone looking to build a career in Python development, data science, or automation.
Learners should have a high school diploma or undergraduate degree. Basic programming knowledge helps, but no prior Python experience is required.
Yes! The course includes over 20 guided coding exercises, lesson-end quizzes, and real-world projects like Python decorators, a password manager, and a patient management application.
Certified Python professionals can explore roles in software development, web development, data science, automation, and AI/ML. The course equips you with the skills to work on real-world applications and advance your career in tech.
““Nvidya’s Python course made learning programming intuitive and engaging.””
" The hands-on projects and real-world examples helped me master Python quickly. From decorators to Django applications, every module strengthened my coding skills, enabling me to confidently handle data-driven projects at work.”
““I went from ‘Can I do this?’ to ‘I just built that!’ in a matter of weeks.””
“The comprehensive curriculum, coding challenges, and live sessions with industry experts strengthened my Python programming skills. I was able to implement automated solutions at work and accelerate my career growth.”
Gain practical expertise crafted with industry and academic input.
Learn from seasoned professionals sharing real-world insights and case studies.
Build skills through hands-on projects with real data and virtual labs.
Enjoy 24/7 access to mentors and a supportive learning community.
A Python certification is a formal credential that validates your skills and understanding of Python programming. It evaluates your knowledge in areas like Python syntax, data structures, algorithms, and practical applications such as web development, automation, data analysis, or machine learning. Earning this certification demonstrates your capabilities to employers and can significantly boost your career opportunities in tech.
Python is one of the most popular programming languages today due to its simplicity, versatility, and growing demand across industries. It’s widely used in web development, AI and machine learning, data analysis, game development, and scientific computing. Learning Python opens doors to roles such as data analyst, machine learning engineer, software developer, and more. Our Python course equips you with practical knowledge and hands-on skills to succeed as a developer in multiple domains.
A Python developer writes, tests, and maintains code to build scalable applications. Their work often focuses on back-end systems, data processing, or automation tasks. Depending on the industry, Python developers may also work on web applications, AI models, or data pipelines. With Python certification, you gain the expertise required to meet industry standards and tackle real-world programming challenges.
Python certification programs typically cover:
The goal is to ensure you can write efficient code, debug effectively, and apply Python skills in practical scenarios.
Python skills are in demand across a wide range of job profiles, including:
Certified Python professionals are highly sought after, with salaries ranging from 4–7 LPA in India and averaging over $120,000 per year in the US.
Python is beginner-friendly due to its readable syntax and logical structure. Nvidya’s Python course is designed to guide learners from fundamentals to advanced concepts, with step-by-step lessons, hands-on exercises, and practical projects. This approach helps beginners quickly grasp Python essentials and gain the confidence to tackle real-world programming tasks.
Python is widely used in both startups and large enterprises. Leading companies hiring Python professionals include Google, Microsoft, Amazon, Facebook, Accenture, TCS, and Cognizant. Completing a Python certification from Nvidya can improve your chances of being recruited by such organizations.
Some widely recognized Python certifications include the Python Institute’s PCAP, Microsoft’s Python certification, and Cisco’s Python programs. These credentials validate your proficiency and are respected across industries worldwide.
Python certification provides:
With consistent effort and structured learning, most learners can become proficient in Python within three months. Nvidya’s Python course is designed with hands-on modules, exercises, and projects that enable learners to quickly develop practical skills applicable in software development, data science, and automation.
Nvidya’s trainers are industry professionals with extensive experience in software development, data science, and Python programming. They are carefully selected for their ability to explain complex concepts clearly, provide practical insights, and mentor learners effectively throughout the course.
Nvidya offers 24/7 support for urgent issues via chat. For other queries, learners can access email support or request a callback from our dedicated team, ensuring that help is always available when needed.
Yes, Nvidya offers customized corporate training solutions in Python. Organizations can upskill their teams with practical programming knowledge and industry-relevant skills, enabling employees to deliver better results on projects and stay updated with the latest technologies.
Learners appreciate the industry-aligned curriculum, hands-on projects, and expert instructors. Many highlight the flexibility of learning at their own pace, the clarity of concepts, and the career benefits gained after certification. Nvidya’s Python course is recognized for preparing learners effectively for roles in software development, data science, and machine learning.
Yes, Nvidya offers a variety of courses in software development, including:
These programs are designed to help learners expand their programming knowledge and career opportunities in the tech industry.
The course emphasizes practical learning. You’ll work on real-world projects, coding exercises, and interactive challenges throughout the program. This ensures you not only understand Python theory but can confidently apply your skills in real scenarios.
Yes! Nvidya offers flexible learning paths. If you start with self-paced modules, you can join live sessions later to interact with instructors and peers, or vice versa, without losing your progress.
Absolutely. The course includes popular Python libraries and frameworks relevant to different domains like data analysis (Pandas, NumPy), web development (Flask, Django), and automation. This hands-on exposure prepares you for real industry tasks.
The project is designed to simulate real-world Python challenges. Successfully completing it showcases your ability to implement coding concepts, build applications, and solve practical problems, skills highly valued by employers.
Yes, Nvidya provides lifetime access to course materials. You can revisit videos, exercises, and projects anytime to refresh your knowledge or prepare for interviews.
Yes, the course encourages collaboration. Learners can participate in discussion forums, group exercises, and peer code reviews, which help reinforce learning and provide different perspectives on solving coding problems.
The course includes quizzes, coding exercises, and milestone assessments to track your progress. These checkpoints help you identify areas for improvement and ensure you’re ready for the final project and certification.
Yes, the curriculum is designed to prepare you for in-demand roles like Python Developer, Data Analyst, Machine Learning Engineer, and Automation Specialist. Each module focuses on skills required by the industry.
Absolutely. Python is the backbone of data science and AI. The course teaches essential programming skills, data handling techniques, and libraries that are directly applicable to machine learning, analytics, and AI projects.
Yes, the course includes practice quizzes, coding exercises, and mini-projects throughout. These assessments ensure you understand the concepts thoroughly and gain confidence before attempting the final project.
Live sessions provide opportunities to ask questions, solve coding problems in real-time, and participate in discussions with instructors and peers. This ensures an engaging learning experience beyond just watching videos.
Yes! Nvidya’s Python certification is designed for beginners and professionals from other fields who want to transition into programming, data science, or software development careers. The combination of theory, projects, and hands-on practice equips you for entry-level tech roles.
Yes, the course focuses on applying Python in practical scenarios such as web development, data automation, scripting, and data analysis, giving you industry-relevant experience that strengthens your resume.
Yes, the curriculum is continuously updated to align with the latest industry trends, frameworks, and Python versions. This ensures learners gain skills that are current and in demand.
Unlike many online courses, Nvidya combines expert instructors, hands-on projects, interactive sessions, and lifetime content access. This blend of guidance, practice, and flexibility ensures learners are job-ready and confident in their Python abilities.