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SQLModel Learning Path

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Modern Python apps often force you to juggle separate libraries for validation and database models—creating duplication and extra maintenance.

SQLModel streamlines this by unifying Pydantic and SQLAlchemy into one type-safe model layer you can use for both database tables and API schemas.

In this Learning Path, you'll build the backend for a workout tracking app from the ground up: defining tables, managing sessions, and implementing CRUD. You’ll then move into relationships (one-to-many, many-to-many) and more advanced schema design. Finally, you’ll integrate everything with FastAPI to ship a clean, production-ready REST API.

Created on: Jan 19, 2026

Bites in this Path:

Your First SQLModel Tables
Session Management & Basic Inserts
Reading Data with Select
Update and Delete Operations
One-to-Many Relationships
Many-to-Many Relationships
Advanced Link Table Relationships
Model Inheritance and API Schemas
FastAPI Integration - Basic Endpoints
FastAPI Integration - Complex Queries