PHASE 1: FastAPI REST API Development 

 Module 1: FastAPI Basics & Setup

• Intro to ASGI vs WSGI

• Install FastAPI + Uvicorn

• Directory structure

• .env management with python-dotenv

• App factory pattern

 Module 2: Routing Basics

• Path Parameters, Query Parameters

• Depends for dependency injection

• Response model with Pydantic

 Module 3: Request Handling (You completed this)

• GET, POST, PUT, DELETE, PATCH

• Form and file uploads

• JSON body + validation

• Custom Request/Response objects

• Header & Cookie extraction

   

 PHASE 2: Repository Layer + DB Communication 

 Module 4: Database Integration

• SQLAlchemy 2.0 (declarative model style)

• Setup DB config via settings.yml

• Pydantic + SQLAlchemy integration

• Sync vs Async SQLAlchemy engine

 Module 5: Repository Pattern

• Create entity, repository, service, controller layers

• AbstractBaseRepository (generic)

• Concrete CRUD repositories

• Use Session in service layer only

• Auto commit/rollback behavior

 Module 6: Multi-DB Support & Config

• Configure multiple databases (PostgreSQL + Redis + SQLite)

• Per-model DB bindings

• DB router-like logic

• Use Alembic for migrations

 PHASE 3: Core Backend Features for Microservices

 Module 7: Authentication & Authorization

• OAuth2 + JWT tokens (access + refresh)

• Password hashing (bcrypt/passlib)

• Role-based access control

• Dependency-based guards

• Third-party login (Google/GitHub OAuth)

 Module 8: External API Communication

• httpx.AsyncClient usage

• Circuit breaker (Tenacity)

• Retry logic

• Calling:

  • Java Spring Boot APIs

  • Other Python FastAPI services

  • External 3rd-party APIs

 Module 9: Background Tasks, Events, Scheduling

• FastAPI BackgroundTasks

• APScheduler for cron jobs

• Event-driven architecture basics

 PHASE 4: Production-Grade FastAPI

 Module 10: Middleware & Hooks

• CORS, Request/Response middleware

• Global logging

• DB session scoping via middleware

• Exception handling + Custom errors

 Module 11: Testing

• Pytest with FastAPI

• Unit + Integration tests

• Mock DB / external calls

• CI test pipeline setup

 PHASE 5: Microservices, Docker, Kubernetes

 Module 12: Microservices Architecture

• Build multiple FastAPI services

• Shared models via Pydantic schemas package

• Service discovery (via DNS or Consul)

• Internal API communication with tokens

 Module 13: Dockerize FastAPI

• Dockerfile (multi-stage)

• docker-compose.yml for full stack (FastAPI + DB + Redis)

• Environment-specific setup (dev/test/prod)

 Module 14: Kubernetes Deployment

• Helm charts for FastAPI

• K8s deployment, service, ingress

• Load balancing

• Secret & config management via ConfigMap/Secret

 PHASE 6: Advanced Topics

 Module 15: Async with FastAPI

• async def with asyncpg, httpx, redis

• Async session for SQLAlchemy 2.0

 Module 16: Event Bus & Messaging

• RabbitMQ, Kafka integration

• Pydantic message schemas

• Publisher & Consumer services

 Module 17: Admin, Dashboard & Monitoring

• Admin UI (FastAPI Admin or external)

• Prometheus + Grafana setup

• Health check, logging, metrics

 Project Capstone: Real-World Architecture

• Multi-service blog or social media system

• Auth service, User service, Feed service

• API Gateway with FastAPI or Nginx

• Dockerized and deployed via Kubernetes

• Unit + integration tests

• Github Actions CI/CD