igmGuru's Python programming course covers 12 comprehensive modules - from Python basics, OOP and data structures to NumPy, Pandas, Scikit-learn, TensorFlow, Django, Flask, FastAPI, Selenium and AWS automation. The curriculum is updated every quarter to reflect Python 3.12+ features, the latest industry tools and 2026 job market requirements.
Hands-on learning is at the core of our approach, you build 12 real-world projects throughout the course, simulating actual production scenarios. From building a machine learning model and deploying it as a REST API to creating a full-stack Django web application and AWS automation scripts, every project adds directly to your GitHub portfolio that recruiters look for.
Our Python classes are led by industry-certified trainers with 10+ years of real-world Python development and data science experience. With small batches of maximum 15 students, you get personalized attention, live doubt-clearing and one-on-one mentoring throughout the course.
Python is the world's most in-demand programming language - used in AI, data science, web development, cloud automation, and fintech. igmGuru's Python training online gives you not just language knowledge but practical, job-ready skills through real projects, expert mentorship, and career support that free tutorials simply cannot offer.
This Python certification course covers the complete Python ecosystem - from core programming fundamentals to advanced data science, machine learning, and automation applications.
Python installation and setup, syntax, variables, keywords, data types, operators, input/output, and your first Python program. Ideal starting point for anyone learning Python programming for the first time.
Lists, tuples, sets, dictionaries, and strings - with indexing, slicing, comprehension, and real-world coding exercises.
Classes, objects, constructors, encapsulation, inheritance, polymorphism, abstraction, and decorators. The foundation of professional Python developer skills.
NumPy arrays, Pandas DataFrames, Matplotlib and Seaborn visualizations - learn data cleaning, analysis, and visualization the way data scientists do it in production.
Scikit-learn, TensorFlow, and Keras - build, train, evaluate, and deploy machine learning models. Covers supervised learning, unsupervised learning, and deep learning basics.
Django MVT architecture, Flask microframework, and FastAPI - build full-stack web applications and production-ready REST APIs from scratch.
Selenium for browser automation, BeautifulSoup and Scrapy for web scraping, file handling, email automation, and Excel automation with Python.
Async programming, pytest and unittest for testing, PEP8 code quality, Git and GitHub integration, Docker containerization, and cloud deployment on AWS and Heroku.
| Experience Level | India | US |
|---|---|---|
| Entry Level | ₹3 - ₹5 LPA | $70K - $90K |
| Mid Level | ₹8 - ₹15 LPA | $90K - $120K |
| Senior Level | ₹20 - ₹35 LPA | $120K - $150K |
Python developers working in data science, machine learning, and cloud automation consistently command the highest salaries across both India and the United States.
After completing this Python training online, you will receive an igmGuru course completion certificate and be fully prepared for these globally recognized exams:
| Data Science Course | Machine Learning Course | Power BI Course | SQL Course |
After completing the Python training, you will receive a recognized certificate to validate your skills.
The official certification exam names are PCAP- Certified Associate in Python Programming (exam code PCAP-31-03) and PCEP (Certified Entry-Level Python Programmer), issued by the Python Institute.
The PCAP exam costs $295 (approximately ₹24,600), and for PCEP, it is $59 (approximately ₹5,340)
With optional bundles that include a retake or a practice test. Local taxes may apply and affect the final price.
PCEP vs PCAP Certification - Which Should You Choose?
| Feature | PCEP (Certified Entry-Level Python Programmer) | PCAP (Certified Associate in Python Programming) |
|---|---|---|
| Certification Level | Entry-Level | Associate-Level |
| Ideal For | Absolute beginners starting Python | Learners with basic Python knowledge |
| Difficulty Level | Easy | Moderate |
| Focus Area | Python fundamentals and basic syntax | Advanced concepts including OOP, modules, and packages. |
| Topics Covered | Data types, control flow, functions, basic operations | OOP, exceptions, modules, packages, advanced data handling |
| Recommended Experience | No prior experience required | 6-12 months of Python practice |
| Exam Code | PCEP-30-02 | PCAP-31-03 |
| Exam Duration | 45 minutes | 65 minutes (+10 minutes NDA/tutorial) |
| Number of Questions | 30 | 40 |
| Passing Score | 70% | 70% |
| Certification Provider | Python Institute | Python Institute |
| Career Impact | Helps start a programming career | Strengthens resume for developer roles |
| Best Choice If | You are new to programming | You want professional-level Python validation |
There are many career roles, including Python Developer, Data Analyst, and more, which are among the most in-demand skills.
Yes, the training is conducted live, and the recorded lectures/videos will be provided after the training completion.
Learning Python can open doors to high-demand careers in software development, data science, AI, web development, automation, and more. It’s one of the most versatile and widely used programming languages, making you more competitive and valuable in today’s tech-driven job market.
Top companies that actively hire Python developers include tech giants like Google, Amazon, Microsoft, Facebook, Netflix, IBM, and Dropbox. Python is also widely used in startups, fintech firms, data-driven companies, and AI-focused organizations across various industries.
The duration of this Python course is 40 hours, which covers fundamental to advanced-level concepts
Top organizations that actively hire Python developers include tech giants like Google, Amazon, Microsoft, Facebook, Netflix, IBM, and Dropbox. Python is also widely used in startups, fintech firms, data-driven companies, and AI-focused companies across various industries.
Python and Data Science Training
