Creating a Movie Recommendation Backend using Codex and FastAPI

The learner will build the base backend by planning the database model, implementing Postgres tables and migrations, creating scripts to load and verify dataset imports, developing repository and endpoint layers, and adding tests/smoke checks to ensure reliable queries and stable behavior over time.

The learner will learn how a recommendation system works, and create useful endpoints with the implementation using a test-driven approach. At the end of this course, the learner will get a fully working backend.