FastAPI for MLOps Engineers: From Zero to Model Deployment
Master FastAPI to build, deploy, and manage robust machine learning model APIs, streamlining the entire MLOps lifecycle.
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Building and Serving ML Models with FastAPI
Unit 1: API Fundamentals for ML Engineers
APIs: Your Model's Voice
HTTP: The Web's Language
Unit 2: Getting Started with FastAPI
FastAPI: Quick Start
Data In, Data Out
Path & Query Parameters
Unit 3: Integrating ML Models
Your Model Goes Live!
Async for Speed
Deploying and Securing FastAPI ML Applications
Unit 1: Containerizing Your ML API
Why Docker?
Docker Basics for ML
Your First Dockerfile
Dockerize FastAPI ML App
Unit 2: Securing and Hardening Your API
API Security Essentials
API Key Authentication
Handling API Errors
Validation Errors