Day 1: Django Application Architecture and PostgreSQL Integration

Session 1: Understanding Django Backend Architecture for Scalability

• Monolithic vs. Modular Django Architecture
• Structuring Django projects for large-scale applications
• Understanding Django’s ORM and its interaction with PostgreSQL

Session 2: PostgreSQL Setup and Database Design Best Practices

• Setting up PostgreSQL for Django applications
• Using schemas, tables, and constraints for data integrity
• Database normalization and denormalization techniques

Session 3: Hands-on Lab – Setting Up Django with PostgreSQL

• Configuring Django to connect with PostgreSQL
• Creating efficient database schemas using Django models

Day 2: Advanced Query Optimization and ORM Performance Tuning

Session 1: Optimizing Queries for High-Performance Applications

• Using EXPLAIN ANALYZE to understand query execution plans
• Creating indexes for faster query performance
• Optimizing JOINs, aggregations, and subqueries in PostgreSQL

Session 2: Advanced Django ORM Features for Query Efficiency

• Using select_related and prefetch_related to minimize database hits
• Managing bulk inserts, updates, and deletions efficiently
• Handling large datasets with database pagination

Session 3: Hands-on Lab – Profiling and Optimizing Django Queries

• Analyzing slow queries and reducing database load
• Implementing Django ORM best practices for large-scale applications

Day 3: Caching, Background Processing, and Asynchronous Tasks

Session 1: Implementing Caching for High-Performance Applications

• Using Redis and Memcached for Django caching
• Implementing query caching and template fragment caching
• Managing cache expiration and invalidation strategies

Session 2: Background Task Processing with Celery and Django Channels

• Using Celery for task queues and scheduled jobs
• Implementing Django Channels for real-time WebSockets and async processing
• Handling long-running tasks efficiently

Session 3: Hands-on Lab – Implementing Caching and Asynchronous Processing

• Configuring Redis caching for API responses
• Implementing Celery-based background jobs in a Django application

Day 4: Security, Authentication, and Role-Based Access Control (RBAC)

Session 1: Securing Django Applications Against Common Threats

• Implementing CSRF protection, SQL Injection prevention, and XSS mitigation
• Using Django’s built-in security features and middleware
• Encrypting sensitive data and managing access controls

Session 2: Implementing Authentication and Authorization

• Using JWT, OAuth2, and Django’s authentication system
• Implementing role-based access control (RBAC) for multi-user applications
• Managing permissions using Django’s groups and user roles

Session 3: Hands-on Lab – Securing a Django API with Authentication and RBAC

• Implementing JWT authentication and RBAC for an API-based Django project
• Configuring Django permissions and secure authentication flows

Day 5: Deploying and Monitoring Scalable Django Applications

Session 1: Deploying Django Applications with Docker and Kubernetes

• Using Docker to containerize Django and PostgreSQL
• Setting up Kubernetes for load balancing and service orchestration
• Managing scalability with horizontal and vertical scaling techniques

Session 2: CI/CD and Production Monitoring for Django Applications

• Setting up CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI/CD
• Monitoring Django performance using Prometheus and Grafana
• Debugging issues using Sentry, New Relic, and Django Debug Toolbar

Session 3: Hands-on Lab – Deploying and Monitoring a Django Application

• Deploying a Django project with PostgreSQL to AWS or DigitalOcean
• Configuring real-time monitoring and error logging