A complete Django course focused on real-world projects, REST APIs, React/Next.js integration, PostgreSQL, Docker, Microservices, System Design, CI/CD and LLM + AI integration.
Django · REST APIs · React · Next.js · PostgreSQL · Docker · Microservices · System Design · CI/CD · AI
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Learn Django by building real-world projects and understanding |
This repository contains the source code and resources for the Advanced Django Full Course 2026 by AiCodingHub.
Advanced Django Full Course 2026 is a practical Django course designed around real-world development rather than isolated examples.
The course starts with Django fundamentals and gradually moves into modern backend development concepts including REST APIs, frontend integration, PostgreSQL, Docker, Microservices, System Design, CI/CD and LLM + AI integration.
The goal is not only to build projects, but also to understand how to approach unfamiliar development problems using documentation, commands, concepts and practical implementation.
DJANGO
↓
REAL PROJECTS
↓
REST APIs
↓
FRONTEND INTEGRATION
↓
POSTGRESQL
↓
SYSTEM DESIGN
↓
MICROSERVICES
↓
DOCKER
↓
DEPLOYMENT
↓
CI/CD
↓
LLM + AI
- Django fundamentals
- Django project structure
- Models
- Views
- Templates
- URLs
- Forms
- Authentication
- Backend architecture
- Real-world Django development
- Django REST Framework
- API development
- API requests and responses
- Backend and frontend communication
- REST API integration
- React integration with Django
- Next.js integration with Django
- API-based frontend communication
- Modern full-stack application architecture
- PostgreSQL
- Database configuration
- Django database integration
- Production database concepts
- Microservices
- Service separation
- API-based communication
- System Design
- Scalable backend architecture
- Docker
- Dockerfile
- Docker Compose
- Containerized Django applications
- VPS deployment
- CI/CD concepts
- Production deployment
- LLM integration
- AI-powered backend features
- AI article generation
- AI image generation
- Building an AI-powered SaaS application
The final AI SaaS project uses separate services for authentication, article generation and image generation.
flowchart TD
A[React + TypeScript Frontend]
A --> B[Auth Service]
A --> C[Article Service]
A --> D[Image Service]
B --> E[PostgreSQL]
C --> E
D --> F[Clipdrop API]
C --> G[Gemini API]
B --> H[JWT Authentication]
AI SaaS
│
├── Frontend
│ └── React + TypeScript + Vite
│
├── Auth Service
│ └── Django + DRF + JWT
│
├── Article Service
│ └── Django + Gemini
│
├── Image Service
│ └── Django + Clipdrop
│
├── Database
│ └── PostgreSQL
│
└── Deployment
├── Docker
└── Render
| Category | Technologies |
|---|---|
| Backend | Django, Django REST Framework |
| Language | Python |
| Frontend | React, TypeScript, Vite |
| Frontend Framework | Next.js |
| Database | PostgreSQL |
| Authentication | JWT |
| Containerization | Docker, Docker Compose |
| Architecture | Microservices |
| AI | Gemini, LLM Integration |
| Image Generation | Clipdrop |
| Web Server | Gunicorn, Nginx |
| Deployment | Render, VPS |
| Version Control | Git, GitHub |
The course covers Django from fundamentals to building production-style backend applications.
REST APIs are used to connect Django backends with modern frontend applications.
Example architecture:
Frontend
↓
REST API
↓
Django
↓
PostgreSQL
The course also demonstrates how API-based architecture makes it possible to separate the frontend and backend.
Django can work with modern frontend frameworks through APIs.
The course covers integration patterns involving:
React
↓
REST API
↓
Django
and:
Next.js
↓
REST API
↓
Django
This allows Django to act as a powerful backend while modern JavaScript frameworks handle the frontend experience.
PostgreSQL is used for production-oriented database development.
The course covers:
- PostgreSQL setup
- Django database configuration
- Database connections
- Models and migrations
- Production database usage
- PostgreSQL with Docker-based applications
Docker is introduced as part of the deployment and production workflow.
Application
↓
Dockerfile
↓
Docker Image
↓
Container
↓
Production Environment
The course covers:
- Docker fundamentals
- Dockerfile
- Docker images
- Containers
- Docker Compose
- Multi-service applications
- Environment variables
- Containerized Django applications
The final project demonstrates how a Django application can be divided into independent services.
Frontend
│
┌──────────┼──────────┐
↓ ↓ ↓
Auth Service Article Image Service
│ │
↓ ↓
Gemini Clipdrop
│
↓
PostgreSQL
Each service can have its own Django project and responsibility.
This provides a practical introduction to service-based backend architecture.
The course introduces practical System Design concepts through real project architecture.
Topics include:
- Monolithic vs Microservices Architecture
- Service separation
- API communication
- Database considerations
- Scalability concepts
- Production architecture
- Deployment architecture
The focus is on understanding how architecture decisions affect real applications.
The final project introduces AI integration into a Django-based SaaS application.
Title + Length
↓
Django Article Service
↓
Gemini API
↓
Generated Article
↓
Frontend
Image Prompt
↓
Django Image Service
↓
Clipdrop API
↓
Generated Image
↓
Frontend
These examples demonstrate how external AI services can be integrated into a modern Django application.
django-advanced-course/
│
├── ai-saas/
│ ├── client/
│ │ ├── src/
│ │ ├── Dockerfile
│ │ └── nginx.conf
│ │
│ ├── server/
│ │ ├── services/
│ │ │ ├── auth_service/
│ │ │ ├── article_service/
│ │ │ └── image_service/
│ │ │
│ │ ├── Dockerfile
│ │ ├── requirements.txt
│ │ └── .env.example
│ │
│ ├── docker-compose.yml
│ └── README.md
│
├── djangoreactproject/
├── djangotutorial/
├── socialmedia/
├── videocall/
├── final.png
└── .gitignore
git clone https://github.com/allknowledge34/django-advanced-course.git
cd django-advanced-courseThe repository contains multiple projects from different sections of the course.
ai-saas/
djangoreactproject/
djangotutorial/
socialmedia/
videocall/
Choose the project you want to explore.
cd ai-saasCreate your environment configuration using:
cp .env.example .envAdd the required environment variables.
docker compose up -ddocker compose downAdvanced Django Full Course 2026
Microservices AI SaaS — Live Demo