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.
Overview
Syllabus
- Unit 1: Designing API Endpoints
- Planning Your Movie Recommendation API
- Updating AI Context with Endpoint Documentation
- Unit 2: Test Driven API Development
- Building the Test Infrastructure Foundation
- Writing Your First Authentication Tests
- Testing the Movie Catalog Endpoints
- Testing Reviews and View Tracking
- Testing Recommendation Engine Behavior
- Unit 3: Implementing API Endpoints
- Connecting to a MCP in Codex
- Building Authentication Endpoints with FastAPI
- Building the Movie Catalog API
- Implementing User Signals and Reviews
- Building Personalized Movie Recommendation Endpoints
- Implementing Admin Endpoints for Show Management