Become a job-ready Full Stack Python Developer with AI
Master Python, Django/FastAPI and React — then go further and build real applications powered by LLMs, generative AI and AI agents, backed by projects and interview coaching that carry you to the offer.
Still deciding? Talk to a mentor first.
A free 15-minute call to map your path to a job-ready Full Stack Python Developer with AI — honest guidance, zero pressure.
- Personalised learning roadmap
- Full syllabus, batch dates & fees
- Scholarships & no-cost EMI options
- Placement & interview support
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The language of AI, now a
complete full-stack skill
Python runs the web backends, data pipelines and automation behind modern software — and it is the native language of generative AI and agentic systems. Pair full-stack Python with the ability to build apps powered by LLMs and AI agents, and you become the developer teams are scrambling to find.
Python is consistently among the most in-demand programming languages in Indian job listings.
Generative AI and AI agents are built in Python first — developers who can ship them are scarce.
Portfolio projects — including AI-powered builds — you can walk an interviewer through line by line.
Front-end, back-end, database, deployment and AI agents — the complete modern developer skill set.
Built for four kinds
of people
Whatever you’re starting from, the course begins at fundamentals and takes you to job-ready — with the Gen AI and agentic-AI skills employers now expect.
Students & freshers
Final-year students and recent graduates who want a real skill and a portfolio before applying.
Non-IT career switchers
Coming from a non-technical background. We start at zero — no coding experience assumed.
Working professionals
Upskilling into development or moving from support and testing into a coding role. Weekend batches available.
Self-taught coders
You know some syntax but need structure, real projects and someone to review your code properly.
Four phases, twelve modules,
one AI-ready developer
Every module ends in hands-on work. Nothing here is theory-only.
Python foundation
Start from programming logic and finish able to write clean, object-oriented Python — using AI coding assistants the way modern teams do.
Programming foundations & Core Python
Weeks 1–3Programming logic·Python setup & environments·Variables & data types·Operators·Control flow·Loops·Functions·Strings·AI pair-programming (GitHub Copilot)
Object-oriented programming & data structures
Weeks 3–5Classes & objects·Inheritance·Polymorphism·Encapsulation·Lists, tuples, sets & dicts·Comprehensions·Modules & packages·Exception handling
Advanced Python essentials
Weeks 5–7Iterators & generators·Decorators·Lambdas & higher-order functions·File & I/O·Virtual environments & pip·Working with APIs & JSON·Pytest & unit testing
Data & AI foundations
Model and persist data the way production systems do — then learn how LLMs, embeddings and vector search work, ready to build AI in Python.
Databases, SQL & vector stores
Weeks 7–9RDBMS concepts·PostgreSQL & MySQL·DDL, DML & DQL·Joins & subqueries·Indexes·Transactions·Python DB access & ORMs·Intro to vector databases
Data handling with Python
Weeks 9–10NumPy·Pandas & DataFrames·Data cleaning·Reading CSV, Excel & APIs·Requests library·Basic data visualisation·Preparing data for AI
AI foundations for developers
Weeks 10–11How LLMs work·Tokens & embeddings·Prompt engineering basics·Calling AI APIs from Python·Vector search concepts·AI vs rules-based logic·Responsible & safe AI·Cost & latency basics
Full stack & Generative AI
Add the interface, the framework and the intelligence — build modern UIs and Python backends, and start wiring generative AI into them.
Front-end & React
Weeks 11–13HTML5·CSS3 & Flexbox·JavaScript ES6·React components & JSX·Props, state & hooks·React Router·API integration·Building AI chat UIs
Django web development
Weeks 13–16MVT architecture·Models & migrations·Views & templates·Forms & validation·Django admin·Authentication·Django REST Framework·ORM & querysets
FastAPI, Flask & REST APIs
Weeks 16–18REST principles·FastAPI & async·Flask basics·Pydantic models·Routing & dependencies·JWT authentication·Serving AI endpoints·Swagger docs
Agentic AI apps, production & career
Turn your stack into AI-powered products with generative AI and tool-using agents — then ship them and get interview-ready.
Generative AI with LangChain & RAG
Weeks 18–21LLM APIs (OpenAI & Gemini)·Prompt engineering·LangChain fundamentals·Embeddings & vector databases·Retrieval-Augmented Generation (RAG)·Building chatbots·Streaming responses·Guardrails
Agentic AI & tool-using agents
Weeks 21–23AI agent concepts·Reasoning & planning loops·Tools & function calling·LangChain agents & LangGraph·Model Context Protocol (MCP)·Multi-step workflows·Memory·Evaluating agents
Deployment, AI capstone & interview prep
Weeks 23–26Git & GitHub·Docker·CI/CD intro·Cloud deployment (AWS)·Environment & secrets·AI-powered capstone·Portfolio & resume·Mock interviews
Want the full module-by-module syllabus?
We’ll send the complete curriculum PDF along with batch dates and fee details.
You graduate with a
portfolio, not just notes
Four complete applications — including AI-powered builds — created the way real teams work: version controlled, reviewed and deployed.
AI-powered SaaS web app
A full-stack Django + React product with user accounts and billing — plus a built-in RAG chatbot that answers from your own knowledge base.
REST API backend with an AI agent
A FastAPI service exposing secure endpoints, wired to a tool-using AI agent that can call functions, query data and complete multi-step tasks.
Data-driven Django application
A production-style web app — dashboards, forms, auth and reporting — backed by a relational database and the Django ORM.
Capstone — your own AI build
Scope, design and ship an AI-powered application of your choosing, with mentor guidance and code review at every stage.
The complete
working stack
Core & back-end
- Python 3
- OOP
- Data structures
- Generators
- Decorators
- Pytest
Frameworks
- Django
- Django REST Framework
- FastAPI
- Flask
- Pydantic
- Celery
Front-end
- HTML5
- CSS3
- JavaScript ES6
- React
- Tailwind
- Responsive design
Data & database
- PostgreSQL
- MySQL
- SQL
- NumPy
- Pandas
- Vector databases
AI & Generative AI
- LangChain
- LangGraph
- OpenAI & Gemini APIs
- Prompt engineering
- RAG
- Embeddings
- Vector databases
- AI agents & MCP
DevOps & tools
- Git & GitHub
- Docker
- CI/CD
- AWS
- Postman
- VS Code
- Swagger
Roles you can apply for
when you finish
The same skill set opens several doors — from core Python roles to the fast-growing AI-developer titles our learners now target.
Full Stack Python Developer
Own features end to end, from React interface through to Django/FastAPI services and database.
AI Application Developer
Build LLM-powered features and integrate generative AI into web and enterprise applications.
Backend / Python Developer
Design REST APIs, data models and integrations that other teams build on.
Django Developer
Specialise in the framework powering countless production web products and platforms.
Generative AI Developer
Design RAG pipelines, chatbots and tool-using AI agents on top of LangChain and vector stores.
Software Engineer
General engineering roles where strong Python fundamentals are the entry requirement.
Resume & portfolio
We rewrite your resume around your projects and set up a GitHub that reads well to a reviewer.
Interview drills
Core Python, Django, AI-integration and DSA question banks, practised until the answers are automatic.
Mock interviews
Technical and HR rounds with working developers, followed by honest feedback.
Hiring introductions
Your profile shared with our hiring-partner network as suitable roles open up.
Pick a batch
that fits your week
EDIT: replace the dates and timings below with your actual batch schedule.
Weekday morning batch
Weekday evening batch
Weekend batch — for working professionals
What every enrolment includes
- Live instructor-led sessions with recordings for revision
- Small batches with dedicated doubt-clearing time
- Four portfolio projects — including AI-powered builds — with mentor code review
- Resume building and mock interview rounds
- Placement assistance that continues after your last class
- Course completion certificate
Everything you’re
probably wondering
EDIT the answers to match DSU’s actual policies before publishing.
No. Module 1 starts with programming logic and Core Python from first principles. A large share of our Python learners come from non-IT backgrounds and have never written code before — Python’s readable syntax makes it an ideal first language.
The program runs 6–7 months — the extra time over a plain Python course covers the AI-foundations, generative-AI and agentic-AI modules. Weekday batches are two hours a day; weekend batches are three hours per day across Saturday and Sunday. Plan for a similar amount of practice time outside class — that’s where the learning consolidates.
EDIT: state your fee here, along with any instalment or EMI options. Being upfront about pricing on this page will improve enquiry quality — people who can’t find a price often assume the worst and leave.
We provide placement assistance — resume preparation, mock interviews and introductions to our hiring-partner network — and that support continues after your final class. We don’t promise a guaranteed job, because no honest training provider can. What we can promise is that you’ll finish interview-ready with real projects to show. EDIT this to match your policy exactly.
Yes. Book a free demo session and a one-to-one counselling call. You’ll meet the trainer, see how a session runs and get the full syllabus before committing to anything.
Every class is recorded and available to you, so you can catch up on your own schedule. You can also raise anything unclear in the dedicated doubt-clearing sessions.
No. The AI modules start from the basics — how LLMs work, prompt engineering, and the Python libraries (LangChain, LLM APIs) used to build with them. There’s no heavy maths, and no second language to learn: the AI is built entirely in Python, so it’s a natural extension of the backend skills you already have from earlier modules. The focus is on building and integrating AI into real applications (chatbots, RAG assistants, tool-using agents), not on AI research. You get both the full-stack Python skills employers hire for and the Gen AI edge that sets you apart.
Become an AI-ready Python developer
Book a free counselling session. We’ll walk you through the syllabus, batch options and fees — and tell you honestly whether this course is right for you.