How to Deploy Machine Learning Solutions with FastAPI, Docker, and AWS

Learn how to deploy machine learning solutions using a simple 3-step approach with FastAPI, Docker, and AWS in this comprehensive tutorial video. Explore the process of creating an API with FastAPI, building and pushing Docker images, and deploying containers on AWS ECS. Follow along with a practical example of deploying semantic search for YouTube videos, and gain insights into testing the deployment using a Gradio UI. Discover valuable resources and references to further enhance your understanding of full-stack data science and ML deployment techniques.

Intro -
ML Deployment -
3-Step Deployment Approach -
Example Code: Deploying Semantic Search for YT Videos -
Creating API with FastAPI -
Create Docker Image -
Push Image to Docker Hub -
Deploy Container on AWS ECS -
Testing Gradio UI -
What's Next? -