Full Stack Python Developer Program (6 Months)
A 6-month, job-focused Python Full Stack program: web foundations, JavaScript, Python, Django, Django REST Framework, React and PostgreSQL, then Celery, payments, testing, Docker, AWS deployment, system design and two capstone projects.
Anuj Bisariya
Full Stack Developer

Overview
Become a hireable Python full stack developer in six months. You will build Django/DRF back ends with React front ends, run background jobs with Celery, then test, containerise and deploy to AWS.
Skills You'll Learn
Prerequisites
- A laptop with internet access
- No prior coding experience required — we start from the basics
- Commitment of 2–3 hours per day
Course Roadmap
Module 1
Modules 1–5: Web Foundations: HTML5 & CSS3 → Git, GitHub & Developer Workflow
Build clean, accessible pages from scratch. Make every layout work on every screen. The language everything else is built on. Write modern, asynchronous JavaScript confidently. Collaborate the way real engineering teams do.
Module 2
Modules 6–10: Python Core → Django Auth, Forms & Admin
Learn Python from the ground up. Write idiomatic, professional Python. Build your first Django applications. Model and query data efficiently. Add users and back-office tools.
Module 3
Modules 11–15: Django REST Framework → Connecting React with Django REST
Turn Django into a robust API. Secure your APIs properly. Build interactive UIs. Scale your front end cleanly. Join the two halves into one product.
Module 4
Modules 16–20: PostgreSQL & Database Design → Security & Performance
Design databases that scale. Move slow work off the request cycle. Add the features real products need. Ship code you can trust. Harden and speed up your application.
Module 5
Modules 21–25: Docker & CI/CD → Capstone Part 1: Architecture & Build
Automate build, test and deploy. Take your app live on real infrastructure. Think like a senior engineer. Crack coding rounds with confidence. Plan and build your flagship project.
Module 6
Module 26: Capstone Part 2: Launch, Interviews & Portfolio
Launch the project and get interview-ready.
Course Curriculum
26 modules · 20 quizzes
- Semantic HTML
- CSS selectors & box model
- Forms & accessibility
- Flexbox & Grid layouts
- Mobile-first design
- Tailwind CSS essentials
- Variables, functions & scope
- Arrays, objects & DOM
- Events & forms
- ES6+ features
- Promises & async/await
- Modules & error handling
- Branching & pull requests
- Resolving merge conflicts
- Working in a team
- Syntax, data types & control flow
- Functions, modules & files
- Virtual environments & pip
- OOP & dunder methods
- Decorators, generators & context managers
- Async programming basics
- Project & app structure
- Views, URLs & templates
- Settings & middleware
- Models & migrations
- Queries & relationships
- select_related / prefetch_related
- User auth & sessions
- Forms & validation
- Customising the admin
- Serializers & viewsets
- Routers & pagination
- Filtering & versioning
- JWT authentication
- Custom permissions
- Throttling & security
- Components & props
- State & hooks
- Forms & lists
- Custom hooks
- Context & Redux Toolkit
- React Query
- CORS & auth flow
- Error & loading states
- Deployment-ready config
- Schema design & normalisation
- Indexing & query plans
- Transactions
- Task queues & workers
- Celery Beat scheduling
- Retries & monitoring
- Razorpay integration
- Transactional email
- S3 file storage
- Unit & API tests
- Fixtures & factories
- Testing Celery tasks
- OWASP top risks
- Caching with Redis
- Profiling & optimisation
- Containerising Django + Postgres + Redis
- GitHub Actions pipelines
- Environment management
- EC2, RDS & S3
- Gunicorn, Nginx & HTTPS
- Monitoring & logs
- Scalability & load balancing
- Caching & queues
- Designing for failure
- Arrays, hashing & recursion
- Trees, graphs & sorting
- Interview-style practice
- Requirements & architecture
- Building core features
- Mentor code reviews
- Production launch
- DSA practice & mock interviews
- Resume & portfolio polish
Projects
Responsive Portfolio Website
A fast, accessible personal site.
Blog & CMS with Django
Auth, markdown posts, comments and admin.
REST API for an E-commerce Store
Products, cart, orders and payments.
React + DRF Task Manager
Full stack app with roles and real-time-style updates.
Async Notification System
Email and scheduled reports with Celery Beat.
Learning Management Mini-App
Courses, enrolment and progress tracking.
Capstone 1: Production-Grade Product
A complete product built and reviewed by mentors.
Capstone 2: Deployed on AWS
Containerised, CI/CD-enabled launch on AWS.
Assignments
Responsive Landing Page
EasyBuild a pixel-accurate, fully responsive landing page.
JavaScript Challenge Set
EasySolve 15 core JavaScript problems.
Git Team Simulation
EasyCollaborate on a repo using branches and pull requests.
Design a REST API
MediumPlan and document endpoints for a real feature.
Authentication from Scratch
MediumImplement signup, login, refresh tokens and protected routes.
Database Modelling Exercise
MediumDesign a multi-entity schema with relationships and indexes.
Payment Integration
HardIntegrate a payment gateway in test mode end-to-end.
Real-Time Feature
HardAdd live notifications or chat to your project.
Write a Test Suite
HardCover critical flows with unit and integration tests.
Dockerise and Deploy
HardContainerise the app and deploy it with a CI pipeline.
System Design Write-up
HardDesign a scalable architecture for a given product.
Capstone Presentation
HardPresent your final project to the mentor panel.
Meet Your Instructor

Anuj Bisariya
Full Stack Developer
10+ Years of Experience in Python, RAG/LLM, AWS/Azure etc.
Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000
Your Name Here
Successfully completed the Full Stack Python Developer Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”
ISSUING DATE - 27TH MARCH, 2026
Certified proficiency in building and deploying production-grade Django and React applications.
Student Reviews
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
Aarush Rai
B.Tech / AI-ML
I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.
Divyanshu Mishra
B.Tech / AI-ML
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
V K Srivarshini
B.Tech / CSE
₹24,999
₹49,999
50% off · Save ₹25,000
Career Outcomes
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