Fresh graduates, any stream
B.Com, B.Sc, B.A. or engineering — Python does not assume a CS background. If you can think in steps and follow a process, you can learn to code.
Development track
Python Full Stack
Go from zero coding experience to a deployed full-stack application — Python on the back end with Django and Flask, React on the front, PostgreSQL in the middle, and Docker at the finish line.
$ python manage.py runserver Watching for file changes with StatReloader Starting development server at http://localhost:8000/ $ docker compose up -d jobboard-db ... done jobboard-api ... done jobboard-web ... done $ stack Django · DRF · React · PostgreSQL
Who this is for
The most forgiving entry point into software development
Python reads like English, Django handles the boring parts for you, and React lets you build a visible interface without wrestling with CSS for weeks. The learning curve is real but kind.
Career-switchers testing the waters
At ₹20,000 over four months this is the lowest-commitment way to find out whether software development suits you before investing more time and money.
Non-technical founders and side-project builders
If you have a product idea but no way to build it, this track gives you enough to prototype it yourself or have a meaningful conversation with a development team.
Not the right track if…
You already know Java or C# well. Python Full Stack is designed for absolute beginners; if you already code daily, you will outgrow the pace. Java Full Stack or .NET Full Stack will challenge you more.
Curriculum
Twelve modules, each ending in working code
Nothing is signed off on attendance. Each module closes with a deployable application or API.
- Variables, data types, operators and string formatting
- Control flow: if/else, for, while, list comprehensions
- Functions, scope, first-class functions, lambdas
- Virtual environments and pip package management
- Classes, objects, inheritance and polymorphism
- Dunder methods, operator overloading, dataclasses
- Encapsulation and composition patterns
- When to use OOP and when to keep it functional
- Reading and writing files, CSV and JSON parsing
- Custom exceptions, try/except/finally patterns
- Introduction to pytest: assertions, fixtures, parametrize
- Writing tests you actually trust
- SELECT, JOIN, GROUP BY, subqueries, indexing
- PostgreSQL installation and psql basics
- Schema design, primary keys, foreign keys, constraints
- Migrations: why they matter and how Django handles them
- Projects vs apps, URL routing, views and templates
- Models, relationships, QuerySet API, migrations
- Built-in auth system, user registration, login/logout
- Admin panel customisation for real workflows
- Serialisers, viewsets, routers and nested resources
- Token-based authentication and JWT
- Throttling, pagination, filtering and search
- API testing with Postman and DRF's test client
- Routing, blueprints, templates and static files
- Flask-SQLAlchemy and Flask-Migrate
- REST APIs with Flask-RESTful
- When Flask is the right tool vs Django
- Semantic HTML5, forms, validation and accessibility
- Flexbox and CSS Grid for layout
- Media queries, mobile-first design, CSS custom properties
- Connecting a front end to a Django back end via templates
- ES6+ syntax: arrow functions, destructuring, modules, async/await
- React components, props, state and hooks
- React Router for client-side navigation
- Fetching data from a DRF API and rendering it
- Token issuance, refresh and expiry
- Protected routes on the API and the front end
- Role-based permissions: admin, employer, candidate
- Securing a React SPA against common pitfalls
- Commits, branches, merges and pull requests
- Issue tracking and project boards
- Reviewing someone else's code without breaking the relationship
- CI basics with GitHub Actions
- Docker and docker-compose for local development
- Gunicorn and Nginx behind a reverse proxy
- Environment variables, secrets management, DEBUG off
- Deploying to a VPS or cloud platform
Tools and platforms
What you will have your hands on
The industry-standard Python stack — the same tools professional Django and React teams use every day.
Python 3
Django
DRF
Flask
React
Vite
PostgreSQL
Git
Docker
Postman
VS Code
Capstone builds
Two projects for your portfolio
Job-board platform
A Django REST Framework API with a React single-page front end. JWT authentication, employer and candidate roles, job listings, applications, search and filters — containerised and deployed.
Admin dashboard
A role-based dashboard for managing users, listings and analytics — built with Django templates and vanilla JavaScript, showing you can work without a front-end framework when the task is internal.
Career outcomes
Roles this track is aimed at
These are the job titles the syllabus is built against. We do not publish salary figures or placement percentages we have not verified.
Python Developer
Builds back-end services, APIs and automation scripts using Python and Django.
Full Stack Developer
Works across back-end APIs and front-end interfaces, shipping end-to-end features.
Backend Developer (Django)
Focuses on API design, data modelling and server-side logic within the Django ecosystem.
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Next batch
Sit in on a Python class before you enrol
Come to the KPHB centre opposite JNTU and watch a live session. Ask the trainer what the first two weeks look like when you have never written a line of code.