Course Specialization

Python
Full Stack
Development

Frontend to Backend — Master It All with Python.
Become a Job-Ready Full Stack Developer.
Turn Ideas into Fully Functional Web Applications.
Dev 1
Dev 2
Dev 3
Dev 1
Dev 2
Dev 3
Dev 4
Dev 5
Dev 6
Dev 4
Dev 5
Dev 6
Program Duration

6 Months + 3 Months Internship

Total Duration: 9 Months

Course Fee

₹ 1,20,000/-

Enroll Now

What You Will Learn

Full-stack development skills
Industry-level coding practices
Real project exposure
100% Internship Guarantee
100% Placement Assistance

Master Python programming from basics to advanced with real-world applications.

Frontend Phase

Build Dynamic Websites using HTML, CSS, JavaScript
Learn React for Modern Frontend Development

Backend Development

Develop Powerful Backends using Python (FastAPI / Django)
Work with MySQL Database Integration
Create REST APIs & Real-Time Applications
Hands-on Live Projects & Case Studies

IRAS Syllabus Breakdown

A comprehensive technical roadmap designed to transform you into an AI-Native Full Stack Architect.

Module 0

The Prompt Engineering Engine

Core Skill: Learning to "Speak Machine" through Human Language
  • Mastering Chain-of-Thought (CoT) and Few-Shot Prompting for complex Python logic
  • Crafting .cursorrules to enforce project-wide standards
  • Applying the "Prompt-Refine-Ship" loop for iterative improvement
  • Using context window strategies for large codebases and documentation
Module 1

The AI-Native Architect

Focus: Environment Setup & Python Logic
  • Shifting from manual coding to System Prompting in Cursor/Windsurf
  • Writing clean Python using Type Hinting and Pydantic
  • Building AI-friendly code structures for better understanding
  • Agentic debugging using terminal-based AI error fixing
Module 2

Rapid Frontend with Generative UI

Focus: React & Design-to-Code
  • Deep dive into React Hooks (useState, useEffect) for auditing AI code
  • Prompting v0.app and Bolt.new to generate advanced UI components
  • Building data tables and admin dashboards using AI tools
  • Refactoring and integrating AI-generated components into projects
Module 3

Data Integrity & Backend Logic

Focus: MySQL & API Architecture
  • Designing optimized MySQL schemas and ER diagrams using AI
  • Building FastAPI endpoints with AI-generated CRUD operations
  • Ensuring secure backend with SQL Injection protection
  • Implementing JWT authentication and secure data handling
Module 4

The Deployment Vibe

Focus: DevOps & Scalability
  • Creating Dockerfiles and GitHub Actions workflows using AI
  • Deploying frontend on Vercel and backend on AWS/Render
  • Setting up scalable cloud infrastructure with minimal configuration
  • Monitoring performance using AI-driven log analysis