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Deploying AI into Production with FastAPI
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Updated 05/2025Start Course for Free
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FastAPIArtificial Intelligence4 hours14 videos46 Exercises3,900 XPStatement of Accomplishment
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Course Description
FastAPI for AI Model Deployment
FastAPI is a Python web framework ideal for building APIs, especially for deploying machine learning and AI models. FastAPI’s speed and modularity make it a powerful choice for data scientists and machine learning engineers seeking to integrate AI solutions into web applications.Building APIs for Models in Production
In this course, you will learn how to build and deploy APIs for model serving using FastAPI. By the end, you’ll create robust API endpoints that handle data input validation, authentication, and error management. Hands-on exercises will guide you through building complete APIs designed to handle AI model interactions.Securing and Scaling FastAPI Applications
You'll also implement API key authentication, apply custom rate limiting to control request flow, and enhance performance through asynchronous processing. Additionally, you’ll learn to manage API versions, improve input validation for complex data types, and implement monitoring and logging to ensure your application runs robustly in production environments.Prerequisites
Introduction to FastAPILarge Language Models (LLMs) Concepts1
Introduction to FastAPI for Model Deployment
2
Integrating AI Models
3
Securing and Optimizing the API
4
API Versioning, Monitoring and Logging
Deploying AI into Production with FastAPI
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