eOS Master
Find your path
DIGIPYTHON PRO / FOUNDATION TO APPLIED PYTHON

DigiPython Pro

Build your Python skills, one clear step at a time.

Turn coding concepts into a connected understanding of modern Python. Explore programming foundations, automation, data analysis, web APIs, AI integration and cloud deployment through a clear sequence of English lessons and demonstrations.

Self-paced 10 modules · 75 lessons Assessment
BUILT FOR THE WAY YOU WORK

The tools behind your next skill.

Apps and platforms included in this course’s lessons and practical activities.

  • Excel
  • Gemini
  • Python
  • Streamlit
  • VS Code
  • Git
  • GitHub
  • PyMuPDF
  • Playwright
  • Selenium
  • NumPy
  • Pandas
  • Plotly
  • FastAPI
  • Flask
  • SQLite
  • PostgreSQL
  • OpenAI API
  • Hostinger
  • Amazon Web Services
  • Docker
  • Google Cloud
  • Render
  • Railway
Two Indian professionals exploring Python code and a data dashboard at a modern workspace
A connected path from your first Python script to automation, data, APIs and cloud concepts.

Learn the craft. Build your portfolio.

75 focused lessons in English, related demonstrations and optional practice across 10 modules. Work towards an original Python application portfolio you can present with confidence.

Plan your learning: approximately 100 hours including lessons, independent practice and portfolio work. Learn at your own pace.

Start with basic computer skills; prior programming experience is not required. A computer with a supported Python 3 release and VS Code is recommended for optional practice. This self-paced course uses curated lessons and an online MCQ assessment. Software licences, paid AI API usage, domains and cloud hosting are not included, and no paid cloud deployment or project defence is required for assessment. Use demonstration data and review provider charges before trying optional services.

THE LEARNING PATH

Here’s what you’ll work on.

Build confidence one useful skill at a time.

01

Python Foundations & Computational Thinking

8 topics
  • Python, VS Code and the terminal
  • Variables, types and Python objects
  • Operators, precedence and Boolean logic
  • Decisions with if, elif and else
  • Loops, break, continue and loop else
  • Functions, arguments and return values
  • Exceptions, validation and debugging
  • Reading code and solving a small problem
02

Data Structures, OOP & Code Organisation

9 topics
  • Lists, tuples, dictionaries and sets
  • Comprehensions, generators and lambda functions
  • Strings, slicing, f-strings and normalisation
  • Classes, objects and instance attributes
  • Class attributes, inheritance and overriding
  • Encapsulation, properties and special methods
  • Modules, packages, pip and virtual environments
  • Git, branching and GitHub collaboration
  • Testing, readable code and maintainable structure
03

Files, Documents & Workplace Automation

8 topics
  • File systems with pathlib, os and sys
  • Read and write text, CSV and JSON
  • Excel reports with OpenPyXL
  • Extract, combine and watermark PDFs with PyMuPDF
  • Regular expressions for structured text
  • Email messages and attachments with smtplib
  • Batch rename, organise and archive files
  • Combine document extraction and reporting
04

Web Requests, Scraping & Browser Automation

7 topics
  • HTTP requests, responses and sessions
  • HTML parsing with BeautifulSoup
  • Dynamic pages with Playwright
  • Browser interaction with Selenium
  • Rate limits, robots.txt and responsible collection
  • Save extracted data to CSV and SQLite
  • Monitor permitted pages and send change alerts
05

Data Analysis & Interactive Dashboards

8 topics
  • NumPy arrays, slicing and vectorisation
  • Pandas dataframes, filtering and cleaning
  • Grouping, pivot tables and multi-indexing
  • Merging, joining and concatenating datasets
  • Exploratory analysis, outliers and correlation
  • Charts with Matplotlib and Seaborn
  • Interactive charts with Plotly
  • Streamlit widgets, uploads and dashboard filters
06

Backend Development, Databases & API Security

10 topics
  • Client-server architecture and REST
  • FastAPI routes, typing and request bodies
  • Pydantic validation and response schemas
  • Flask routing, templates and forms
  • SQLite tables, queries and transactions
  • PostgreSQL database fundamentals
  • SQLAlchemy models, relationships and CRUD
  • Password hashing, JWT and protected routes
  • CORS, permissions and secure configuration
  • Test an API and handle failures
07

Python Interfaces & Generative AI Integration

7 topics
  • Connect a Python interface to a backend API
  • Call OpenAI APIs from Python
  • Call Gemini APIs from Python
  • Structured output, streaming and conversation state
  • Document extraction and grounded answers
  • Tool calling and bounded AI workflows
  • Protect secrets, control costs and evaluate responses
08

Cloud Deployment & DevOps

11 topics
  • Linux, SSH, permissions and processes
  • Hostinger Ubuntu VPS and Python deployment
  • Nginx, Gunicorn, Uvicorn and systemd
  • Domains, DNS and HTTPS with Certbot
  • AWS EC2 and security groups
  • Store application files in AWS S3
  • Dockerfiles, images and Compose
  • Deploy containers to Google Cloud Run
  • Use Google Cloud Storage from Python
  • Render, Railway and Streamlit Community Cloud
  • GitHub Actions tests and deployment
09

Capstone Walkthroughs & Integration

3 topics
  • Database-backed web application walkthrough
  • Data collection and dashboard walkthrough
  • Containerised AI assistant walkthrough
10

Portfolio, Freelancing & Interview Preparation

4 topics
  • Present Python work in a clear portfolio
  • Scope freelance work and communicate with clients
  • Explain algorithms, complexity and data structures
  • Debug and explain an interview solution
IS THIS YOUR NEXT SKILL?

What can you learn with DigiPython Pro?

Beginners, students, career changers and working professionals who want a structured introduction to Python programming and its workplace applications.

Skills to put into practice

  • Understand Python syntax, data structures, functions, object-oriented code and testing.
  • Follow automation, data analysis and web API workflows with Python libraries and frameworks.
  • Explore AI integration, secure deployment and portfolio planning through guided demonstrations.

Build your understanding with 10 modules and 75 core lessons in English. Study online at your own pace and use the practical activities to apply each technique.

How much does the course cost?

DigiPython Pro is available for ₹4,900 with NBVTE certification, reduced from ₹8,490. Alternatively, enrol for ₹390 for the same course and assessment with an eOS Master completion certificate after passing, without NBVTE certification. Both are one-time purchases. Course access starts after payment confirmation.

How does assessment work?

The assessment opens 45 days after purchase: 50 multiple-choice questions, 100 marks in total and a passing score of 60. You have 60 minutes per attempt.

Read the full assessment and certification guide
YOUR ACHIEVEMENT, RECOGNISED

Pass your exam. Take your next step.

Course completion certificate — immediately

Your eOS Master course completion certificate is available immediately after you finish and successfully pass your course assessment. Open the Certificates section in your account to get your digital document.

NBVTE option — delivery within 90 days

With the NBVTE certification option, your additional original NBVTE certificate will arrive by courier within 90 days from the date of your successful exam, at your preferred delivery address within India. Confirm your recipient name, address, PIN code and contact number in your account.

A practical path to mastery

Follow a considered curriculum, practise each skill and track your progress from your first lesson to the final assessment.

Understand certification