How to Deploy ML Solutions with FastAPI, Docker, & AWS

👉 More on Full Stack Data Science: • Full Stack Data Science
This is the 5th video in a series on Full Stack Data Science. Here, I walk through a simple 3-step approach for deploying machine learning solutions.
More Resources:
💻 Example Code: github.com/ShawhinT/UA-cam-B...
📰 Read more: towardsdatascience.com/how-to...
🛠️ Previous Video: • Text Embeddings, Class...
➡️ Data Pipeline Video: • How to Improve LLMs wi...
References:
[1] FastAPI Tutorial: fastapi.tiangolo.com/tutorial...
[2] FastAPI + Docker: fastapi.tiangolo.com/deployme...
[3] Deploying on AWS ECS: • AWS ECS Tutorial // Am...
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Intro - 0:00
ML Deployment - 0:33
3-Step Deployment Approach - 1:52
Example Code: Deploying Semantic Search for YT Videos - 3:21
Creating API with FastAPI - 4:31
Create Docker Image - 11:13
Push Image to Docker Hub - 17:15
Deploy Container on AWS ECS - 19:46
Testing Gradio UI - 25:54
What's Next? - 27:07