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: https://github.com/ShawhinT/YouTube-B...
📰 Read more: https://towardsdatascience.com/how-to...
🛠️ Previous Video: • Text Embeddings, Classification, and ...
➡️ Data Pipeline Video: • How to Improve LLMs with RAG (Overvie...
References:
[1] FastAPI Tutorial: https://fastapi.tiangolo.com/tutorial...
[2] FastAPI + Docker: https://fastapi.tiangolo.com/deployme...
[3] Deploying on AWS ECS: • AWS ECS Tutorial // Amazon Elastic Co...
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Homepage: https://www.shawhintalebi.com/
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
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