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FastAPI for ML

Deploy ML models as high-performance REST APIs.

Course Duration: 6 hours​

What You'll Learn​

  • FastAPI fundamentals
  • Request validation
  • Model serving
  • Async processing
  • Docker deployment
  • Production best practices

Prerequisites​

  • Python programming
  • Basic API knowledge

Course Modules​

  1. Introduction to FastAPI
  2. Installation and Setup
  3. Path Operations
  4. Request Body with Pydantic
  5. Loading ML Models
  6. Prediction Endpoints
  7. Async Processing
  8. Background Tasks
  9. File Upload (Images, Audio)
  10. Docker Deployment
  11. HTTPS and Security
  12. Project: ML API Service

Topics Covered​

  • FastAPI
  • Pydantic
  • Uvicorn
  • Docker