GuideIntermediate

PostgreSQL & SQLAlchemy Guide

Learn PostgreSQL from installation to optimized queries, model your data with the SQLAlchemy ORM, manage your schema with Alembic, and integrate everything asynchronously with FastAPI. This guide replaces in-memory data with real, professional persistence, exactly as it is used in production. Built for developers who have already built APIs with FastAPI and need to take the next step: a well-designed relational database that scales.

48
lessons
6
modules
English · Spanish
available in
Yes
certificate
Free
access

Outcomes

What you'll be able to do

  • Install and configure PostgreSQL locally and with Docker, master psql and pgAdmin
  • Design schemas with advanced types (UUID, JSONB, TIMESTAMP) and constraints
  • Write complex SQL queries with JOINs, subqueries, CTEs and aggregations
  • Model 1:N and N:M relationships with foreign keys and junction tables
  • Optimize performance with B-tree indexes and EXPLAIN ANALYZE
  • Ensure data integrity with ACID transactions and isolation levels
  • Model data in Python with SQLAlchemy 2.0 ORM (Mapped, mapped_column, relationships)
  • Run CRUD with Sessions and queries with eager/lazy loading
  • Version your schema with Alembic: autogenerate, upgrade/downgrade, data migrations
  • Integrate PostgreSQL with FastAPI using AsyncSession, dependency injection and connection pooling

Before you start

What you need to bring

It's for you if...

  • Developers who completed FastAPI Fundamentals and FastAPI Advanced and need real persistence
  • Backend developers from other languages (Node, Java, Go) who want to master the PostgreSQL + Python stack
  • Programmers who have used basic SQL but never designed schemas with complex relationships or versioned migrations
  • Students of the Backend Python Developer Path building the Blog Platform API project
  • Developers who want to learn SQLAlchemy 2.0 (the modern, typed API), not the legacy one

Requirements and materials

  • Intermediate Python (classes, async/await, type hints, decorators)
  • FastAPI Fundamentals completed (path operations, Pydantic, basic dependency injection)
  • FastAPI Advanced Features completed (advanced Depends, APIRouter, response models)
  • Familiarity with the command line (terminal/shell)
  • Docker installed (recommended to skip local install friction)

Content

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