🔹 Module 1: Programming Fundamentals (Python)

• Python syntax & keywords
• Variables, data types
• Conditional statements
• Loops
• Functions & modules
• OOP concepts (Class, Object, Inheritance, Polymorphism)
• Exception handling
• File handling

🔹 Module 2: Advanced Python for Web & AI

• Virtual environments (venv)
• pip & dependency management
• Decorators & generators
• Multithreading & multiprocessing
• Python best practices

🔹 Module 3: Frontend Development

• HTML5
• CSS3
• Bootstrap / Tailwind CSS
• JavaScript basics
• ES6 concepts
• Intro to React (optional but recommended)
• API integration using Fetch / Axios

🔹 Module 4: Django Framework (Backend Core)

• Django architecture (MTV)
• Project & app structure
• URLs & Views
• Templates & Static files
• Forms & validations
• Middleware
• Django Admin customization
• Session & Cookies

🔹 Module 5: Database & ORM

• SQL fundamentals
• PostgreSQL / MySQL
• Django ORM
• Models & migrations
• Relationships (One-to-One, One-to-Many, Many-to-Many)
• Query optimization

🔹 Module 6: Django REST Framework (DRF)

• REST API concepts
• Serializers
• API views & ViewSets
• Routers
• CRUD APIs
• Pagination & filtering
• JWT Authentication
• Role-based access control
• Swagger / API documentation

🔹 Module 7: Authentication & Security

• User registration & login
• Token-based authentication
• OAuth (Google Login)
• Password hashing
• CORS handling
• API security best practices

🔹 Module 8: AI & Machine Learning Integration

• Introduction to AI & ML
• Supervised vs Unsupervised learning
• NumPy & Pandas
• Data preprocessing
• Scikit-Learn models
• Linear Regression
• Logistic Regression
• Decision Trees
• KNN
• Model training & evaluation
• Saving ML models (pickle / joblib)
• Integrating ML models with Django APIs

🔹 Module 9: AI-Powered Web Features

• Recommendation system
• Prediction APIs
• Chatbot basics
• NLP introduction
• Sentiment analysis
• Image / text classification
• AI-based dashboards

🔹 Module 10: Project Architecture & Deployment

• Full stack architecture
• API-first development
• Git & GitHub
• Docker basics
• Deployment on:
• AWS / Azure
• Linux server
• Nginx & Gunicorn
• Environment variables

🔹 Module 11: Testing & Optimization

• Unit testing
• API testing (Postman)
• Performance optimization
• Error handling & logging

🔹 Module 12: Capstone Projects

• AI-Based CRM System
• Job Recommendation Portal
• AI-Powered E-Commerce
• Student Performance Prediction System
• Chatbot-enabled Web App

🎯 Learning Outcomes

• Build AI-enabled full stack applications
• Develop secure REST APIs
• Integrate ML models with web apps
• Deploy production-ready projects
• Ready for Full Stack AI Developer / Python Developer roles