Two powerful tracks — a focused 1-month foundation course and an in-depth 3-month advanced program. Go from zero to confident Python developer with hands-on, instructor-led training.
Pick the program that fits your timeline and ambition. Both are instructor-led with real projects.
A fast, focused introduction to Python. You'll build a solid foundation in core syntax, functions, data structures, and OOP — and finish with your first real project.
Deep-dive into Python's professional ecosystem. From APIs and web frameworks to data science, machine learning, and cloud deployment — build production-ready skills.
A structured, hands-on Python journey built for complete beginners. Every concept is reinforced with real code, exercises, and mini-projects — taught live by expert instructors.
No prior programming experience required. Just curiosity and commitment.
Enroll in Basic →Variables, data types, operators, conditionals, and loops — the essential building blocks of every program.
Writing reusable code with parameters, return values, lambda functions, and understanding scope rules.
Lists, tuples, dictionaries, sets — storing and manipulating collections of data efficiently.
Classes, objects, inheritance, encapsulation, and polymorphism for structured program design.
Reading, writing, and processing files. Exception handling to build robust, crash-resistant programs.
Using pip, the standard library, and a first look at the Python ecosystem with practical mini-projects.
Setting up your environment, writing your first program, and mastering the core syntax that powers everything in Python.
Making decisions, repeating actions, and building reusable code blocks — the logic layer of every program.
Storing and organising data efficiently with Python's built-in collections, then stepping into object-oriented thinking.
Reading and writing files, handling exceptions gracefully, and bringing it all together in your first complete Python project.
A feature-rich calculator with history, conversions, and expression parsing.
A CLI task manager with add, delete, complete, and file-based persistence.
OOP-based banking system with deposits, withdrawals, and transaction history.
The latest Python runtime — clean syntax, powerful standard library
Industry-standard editor with Python extensions, linting, and debugging
Interactive coding environment — perfect for data exploration and learning
Version control basics — commit, push, and showcase your Python projects
The advanced track is built for developers who already know Python basics and want to level up into real-world, professional-grade work — frameworks, data science, machine learning, and deployment.
Master Python's OOP model — decorators, metaclasses, abstract classes, and classic design patterns used in professional codebases.
Closures, generators, itertools, map/filter/reduce, threading, multiprocessing, and async programming with asyncio.
Build full-stack web applications with Django — models, views, templates, forms, authentication, and the Django REST Framework.
Build lightweight REST APIs with Flask — routing, blueprints, JWT authentication, request handling, and Postman testing.
Advanced scraping with Selenium and BeautifulSoup, task scheduling with APScheduler, and building automation bots.
NumPy for numerical computing, Pandas for data wrangling, Matplotlib & Seaborn for charts, and Plotly for interactive dashboards.
Intro to ML with scikit-learn — supervised & unsupervised learning, model training, evaluation metrics, and practical pipelines.
Containerise Python apps with Docker, deploy to cloud (Heroku/Railway), CI/CD with GitHub Actions, and environment management.
Unit testing with pytest, TDD basics, Git branching workflows, code reviews, type hints, and Pythonic best practices.
Build a full CRUD REST API with JWT auth, rate limiting, and database integration.
A full-featured blog with user auth, rich text posts, comments, and admin panel.
Selenium-powered scraper that monitors product prices and sends email alerts.
Interactive Plotly dashboard analysing real sales data by region, category, and time.
Train and evaluate a machine learning model on a real dataset with scikit-learn.
Containerise and deploy a Flask app with Docker, CI/CD pipeline, and cloud hosting.
Python's top web frameworks for full-stack and API development
The data science stack for analysis, manipulation, and computation
Industry-standard ML library for building and evaluating models
Browser automation for dynamic scraping and end-to-end testing
Containerise and deploy Python apps consistently across environments
Create interactive charts and data dashboards for real insights
Automate testing and deployment with CI/CD pipelines
Write clean, reliable tests using Python's most popular testing framework
Build backend systems, tools, and scripts for companies across every industry.
Clean, analyse, and visualise datasets using Pandas, NumPy, and Matplotlib.
Build and deploy machine learning models that power intelligent applications.
Step into backend web development with Python's most powerful web frameworks.
