Master Python from syntax to scalable backend systems.
Build production-grade backend APIs, data pipelines, database architectures, and automated testing suites using modern Python 3.12, FastAPI, PostgreSQL, and Docker.
Get Course Syllabus & Fee Details
How You'll Progress Through This Program
Foundations & Syntax
Understand core concepts, architecture patterns, and algorithmic thinking.
Hands-on Exercises
Construct isolated modules, APIs, pipelines, and component units in live labs.
Integration & DB
Tie together databases, third-party APIs, authentication, and state stores.
Docker & Cloud
Package code into production containers with automated test suites.
Portfolio Capstone
Publish complete codebases with clean Git history for technical interviews.
A curriculum built around real engineering
Python Core & Object-Oriented Architecture
Master core data structures, memory model, OOP design patterns, decorators, generators, and clean code principles.
What You Will Learn
- Python 3.12 syntax, data types, type hints, and virtual environments
- Advanced collections, list comprehensions, and functional programming
- Object-Oriented Programming: classes, inheritance, dunder methods, and polymorphism
- Custom decorators, context managers, and generator pipelines
- Unit testing with pytest and comprehensive error handling
Build an algorithmic banking transaction engine with strict ACID validation and pytest test coverage.
How the engineering stack connects
You won't learn isolated tools. You'll understand how databases, APIs, client interfaces, and cloud deployments operate as a unified system.
Python 3.12
Primary programming language with modern type annotations
FastAPI
High-performance asynchronous REST API framework
PostgreSQL
Enterprise-grade relational database management system
SQLAlchemy
Production SQL toolkit and object-relational mapper
Redis
In-memory data store for caching and pub/sub messaging
Docker
Containerization for consistent local and production runtimes
PyTest
Testing framework for unit and integration test suites
Git & GitHub
Source code management, PR reviews, and CI workflows
Build. Deploy. Prove.
Every project you complete at AIRA follows the exact engineering workflows expected in top tech organizations.
Clean Git & Test Suites
Feature branch workflows, automated unit tests with pytest, strict linting, and meaningful commit messages.
Containerized Environments
Multi-stage Dockerfiles and Docker Compose files ensuring zero environment mismatches between local and cloud.
Live Cloud Deployments
Automated continuous deployment to cloud infrastructure providing live demonstration URLs for interviewers.
Capstone projects you will ship
Concrete codebases solving authentic technical requirements.
Enterprise Multi-Tenant SaaS Backend
Scalable backend API with organization isolation, JWT authentication, and automated billing webhooks.
Schema-based multi-tenancy with async connection pooling.
Real-Time Distributed Task Queue
Asynchronous task processing system with Redis broker, Celery workers, and failure retries.
Dead-letter queue handling with exponential backoff strategy.
Financial Transaction Reconciliation Engine
High-accuracy reconciliation pipeline matching thousands of payment gateway records against bank statements.
Chunked batch processing optimizing RAM consumption under 250MB.
Target technical roles
Python Backend Developer
Designs and maintains server-side logic, REST APIs, and database schemas.
API / Microservices Engineer
Specializes in high-concurrency asynchronous services with FastAPI and Docker.
Software Engineer (Backend)
Builds scalable software systems, data pipelines, and core product services.
All-Inclusive Program Fee
Complete industry curriculum, live 1:1 mentorship, capstone project evaluations, and placement support.
Python Developer
3 Months structured curriculum with all project labs & mentorship.