Python With Django & Flask Backend Developer Course
Core Python • Advanced Python • Django • Django REST Framework • Flask • Microservices • PostgreSQL
Become a production-ready Python backend developer capable of building secure REST APIs, database-driven web applications, microservices, and deployable enterprise systems using Django, Django REST Framework, Flask, and PostgreSQL.
What You Will Master in 12 Weeks
Become a production-ready Python backend developer capable of building secure REST APIs, database-driven web applications, microservices, and deployable enterprise systems using Django, Django REST Framework, Flask, and PostgreSQL.
Program Highlights
Daily & Weekly Learning Routine
- Daily 90-minute structured classes with live interactive demonstrations
- Daily hands-on coding challenges and API testing with Postman
- Weekly twice Show & Tell architecture defense sessions
- Weekly doubt-clearing and personalized mentoring
- Monthly mini projects and final enterprise capstone presentation
Technologies & Core Competencies
Targeted industry stack covered through live coding, architecture blueprints, and dedicated sandbox labs.
Core Competencies Covered
Enterprise Tools & Platforms
Comprehensive 12-Week Curriculum
Exact, comprehensive weekly topics taken directly from official CES program specifications. Every week features hands-on assignments and code reviews.
Core Python Fundamentals
Mastering the fundamentals of Python programming, built-in data types, and control flow
- Python installation, virtual environments (venv), and execution model
- Variables, dynamic typing, numeric types, strings, and formatted string literals (f-strings)
- Collections: lists, tuples, sets, and dictionaries with comprehensions
- Control flow: conditional logic, loops (for/while), break, continue, and pass
- Functions, default arguments, *args, **kwargs, lambda expressions, and scope (LEGB)
- Exception handling hierarchy: try, except, else, finally, and custom exceptions
Command-Line Expense Tracker & Portfolio Data Analysis Tool
Object-Oriented Python & Clean Code Design
Building structured, modular applications using Object-Oriented Programming (OOP) in Python
- Classes, objects, constructors (__init__), instance vs class attributes, and methods
- Encapsulation, property decorators (@property), and data hiding
- Inheritance, method overriding, super(), and multiple inheritance with MRO
- Polymorphism, abstract base classes (abc module), and interfaces
- Dunder (magic) methods: __str__, __repr__, __eq__, __len__, and operators
- Dataclasses, composition vs inheritance, and PEP 8 clean code standards
Object-Oriented Banking Domain Model with Clean Architecture Patterns
Advanced Python Language & Asynchronous Programming
Leveraging advanced Python features, metaprogramming, and concurrency with asyncio
- Iterators, iterable protocol, and custom generator functions with yield
- Function decorators, parameterized decorators, and class decorators
- Context managers and the with statement using __enter__ and __exit__ (contextlib)
- Type hints, static analysis with mypy, and structured logging
- Asynchronous programming with asyncio, coroutines, async/await, and event loops
- Multithreading vs multiprocessing: GIL implications, thread pools, and process pools
Asynchronous Web Data Harvester & Concurrent Pipeline with Asyncio
Relational Databases, SQL & PostgreSQL Integration
Designing relational database schemas and executing high-performance queries with PostgreSQL
- Relational database design: normalization (1NF, 2NF, 3NF), primary keys, and foreign keys
- SQL DDL & DML: complex joins, subqueries, group by, having, and aggregate functions
- Database indexes (B-Tree, Hash), query planning with EXPLAIN ANALYZE, and optimization
- Transactions, ACID properties, isolation levels, and concurrency control
- Connecting Python to PostgreSQL using psycopg2/psycopg3 with connection pooling
Production Database Layer with Connection Pooling and Transaction Management
Django Web Framework Architecture & Forms
Building full-featured web applications with Django's Model-View-Template (MVT) architecture
- Django architecture: request-response lifecycle, WSGI/ASGI, and project layout
- Settings management, secret keys, environment variables, and modular settings
- URL routing, path converters, view functions, and Class-Based Views (CBVs)
- Django template language: template inheritance, tags, filters, and context processors
- Django forms and ModelForms: form validation, CSRF protection, and error handling
Task & Project Management Web Application with Django Forms and Templates
Django Models, ORM Mastery & Admin Customization
Mastering database operations with the Django Object-Relational Mapper (ORM)
- Django model definition: fields, constraints, validators, and Meta options
- Model relationships: ForeignKey, OneToOneField, and ManyToManyField
- Django migrations: makemigrations, migrate, squashing, and custom data migrations
- QuerySet API: filtering, aggregation, Q objects for complex queries, and F expressions
- ORM performance: select_related, prefetch_related, indexing, and the N+1 problem
- Customizing the Django Admin: ModelAdmin options, custom actions, and inlines
Content Management & Publishing Platform with Custom Django Admin Dashboard
Django REST Framework (DRF) Fundamentals
Designing scalable, standard-compliant RESTful APIs with Django REST Framework
- REST architecture principles and DRF request-response lifecycle
- Serializers and ModelSerializers: field validation, validate_<field>, and validate()
- Nested serializers, custom serializer method fields (SerializerMethodField)
- APIView vs GenericAPIView vs ModelViewSet
- DefaultRouter and SimpleRouter: automatic URL routing for viewsets
- Status codes, response formatting, and error handling in DRF
E-Commerce Product Catalog & Shopping Cart REST API with Serializers
DRF Security, Authentication, Filtering & Documentation
Securing and documenting REST APIs with JWT authentication, permissions, and OpenAPI
- Authentication in DRF: TokenAuthentication vs JSON Web Tokens (djangorestframework-simplejwt)
- JWT lifecycle: access tokens, refresh tokens, token rotation, and blacklisting
- Permissions: IsAuthenticated, IsAdminUser, and custom BasePermission classes
- Filtering, search, ordering, and pagination (PageNumber, LimitOffset, Cursor)
- Interactive API documentation with drf-spectacular / Swagger UI
Secure Multi-Role User Management & Authentication Microservice with JWT
Flask Framework Foundations & Application Architecture
Building modular, lightweight backend microservices with the Flask framework
- Flask microframework philosophy vs Django's batteries-included approach
- Application Factory pattern: create_app() and dependency injection
- Modular architecture using Flask Blueprints for routing and view organization
- Request and response objects, URL parameters, query strings, and JSON handling
- Configuration management: environment configs, secret keys, and logging
Modular Microservice Skeleton with Application Factory and Blueprints
Flask REST APIs, SQLAlchemy ORM & Security
Persisting data and building REST APIs in Flask using SQLAlchemy and Flask-JWT-Extended
- Flask-SQLAlchemy: database models, relationships, sessions, and transactions
- Database migrations in Flask using Flask-Migrate and Alembic
- Serialization and schema validation using Marshmallow (Flask-Marshmallow)
- JWT authentication in Flask with Flask-JWT-Extended: protected endpoints and claims
- Error handling with custom exception handlers and JSON response formatting
Order Processing & Customer Management Microservice with SQLAlchemy and JWT
Asynchronous Background Tasks, Redis & Docker
Handling background processing with Celery and containerizing backend services with Docker
- Asynchronous task processing: use cases (emails, PDF generation, heavy computations)
- Celery task queue architecture: tasks, workers, message brokers, and result backends
- Configuring Redis as message broker and in-memory cache
- Periodic and scheduled tasks with Celery Beat
- Containerization with Docker: writing multi-stage Dockerfiles for Django and Flask
- Docker Compose orchestration for Web + Database + Redis + Celery workers
Distributed Notification & Report Generation Engine with Celery, Redis, and Docker
Enterprise Banking Platform Capstone & Career Defense
Delivering an enterprise-grade digital banking backend and preparing for technical interviews
- Full system integration of digital banking features: accounts, transfers, ledger, statements
- Automated test coverage with pytest-django and coverage reports
- Production readiness checklist: database connection pooling, Gunicorn/Uvicorn, Nginx reverse proxy
- Comprehensive technical mock interview covering Python internals, Django, Flask, and system design
- Live Show & Tell capstone defense before senior backend architects
Enterprise Digital Banking & Payments Platform with Django, DRF, Celery, and Docker
Industry Projects & Capstone Deliverables
Graduation requires building and presenting an enterprise portfolio project following the standard software development lifecycle.
Enterprise Digital Banking & Payments Platform
Production-grade backend system with multi-tier accounts, money transfers, transaction auditing, Celery asynchronous notifications, and JWT authentication.
E-Commerce & Inventory Management API
High-performance REST API with product catalogs, shopping cart, checkout processing, order lifecycle tracking, and Swagger documentation.
Who Can Join This Program
- Aspiring backend developers seeking a comprehensive career in Python server-side web engineering
- Graduates and students with basic programming knowledge wanting to build deployable production portfolios
- Frontend developers or data analysts wishing to master backend architecture, databases, and REST APIs
Laptop & System Requirements
- Basic computer operation and problem-solving interest
- No prior Python experience required — starts from programming fundamentals
- Broadband internet connection for live interactive labs
Target Career Opportunities & Preparation
Target Job Roles
Interview Preparation Structure
- Python internal mechanics: memory management, GIL, reference counting, decorators, and generators
- Django ORM query optimization: select_related, prefetch_related, database indexes, and N+1 query problem
- REST API architecture: idempotency, HTTP status codes, pagination, rate limiting, and JWT security
- Microservices communication: synchronous HTTP vs asynchronous message queues with Celery and Redis
- Live technical mock interviews, system design defense, and GitHub portfolio review
Questions About This Program
Why does this course teach both Django and Flask?
Django is the industry standard for large, batteries-included enterprise applications, while Flask is the premier microframework for lightweight microservices and AI/ML model serving. Knowing both makes you adaptable to any Python backend tech stack.
Will I learn how to deploy Python web applications?
Yes. The course includes complete containerization using Docker, environment configuration, database connection pooling, and production deployment best practices.
Ready to Begin the Python With Django & Flask Backend Developer Course?
Register your profile for skill baseline evaluation or speak directly with an academic advisor via WhatsApp to confirm the next batch schedule.